├── logs └── gitkeep.keep ├── kml_files └── gitkeep.keep ├── reports └── gitkeep.keep ├── analysis_logs └── gitkeep.keep ├── ignore_lists ├── ssid_list.json └── mac_list.json ├── secure_credentials └── gitkeep.keep ├── surveillance_reports └── gitkeep.keep ├── cyt_ng_logo.png ├── ignore_list_ssid.py ├── requirements.txt ├── start_kismet_clean.sh ├── config.json ├── monitor.sh ├── start_gui.sh ├── LICENSE ├── SETUP.md ├── create_ignore_list.py ├── migrate_credentials.py ├── BLACKHAT_ARSENAL.md ├── ignore_list.py ├── blackhat_demo.py ├── chasing_your_tail.py ├── secure_ignore_loader.py ├── secure_database.py ├── README.md ├── secure_credentials.py ├── probe_analyzer.py ├── CLAUDE.md ├── input_validation.py ├── secure_main_logic.py ├── surveillance_analyzer.py ├── cyt_gui.py └── gps_tracker.py /logs/gitkeep.keep: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /kml_files/gitkeep.keep: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /reports/gitkeep.keep: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /analysis_logs/gitkeep.keep: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /ignore_lists/ssid_list.json: -------------------------------------------------------------------------------- 1 | [] -------------------------------------------------------------------------------- /secure_credentials/gitkeep.keep: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /surveillance_reports/gitkeep.keep: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /cyt_ng_logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ArgeliusLabs/Chasing-Your-Tail-NG/HEAD/cyt_ng_logo.png -------------------------------------------------------------------------------- /ignore_list_ssid.py: -------------------------------------------------------------------------------- 1 | non_alert_ssid_list = ['CR-Guest-Wireless', 'gst02', 'Platinum Reserve', 'AG2F', 'Platinum Reserve'] -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | # Core dependencies for Chasing Your Tail (CYT) 2 | requests>=2.28.0 3 | cryptography>=40.0.0 4 | 5 | # Optional dependencies for enhanced features 6 | # Uncomment as needed: 7 | 8 | # For web dashboard (future enhancement) 9 | # flask>=2.3.0 10 | # flask-socketio>=5.3.0 11 | 12 | # For advanced data analysis 13 | # pandas>=1.5.0 14 | # numpy>=1.24.0 15 | # matplotlib>=3.7.0 16 | 17 | # For testing 18 | # pytest>=7.0.0 19 | # pytest-cov>=4.0.0 -------------------------------------------------------------------------------- /start_kismet_clean.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | # TRULY CLEAN Kismet startup - NO pkill commands whatsoever! 4 | cd /home/matt/Desktop/cytng 5 | 6 | echo "$(date): Starting Kismet without any cleanup..." 7 | 8 | # Just start Kismet directly - no process killing! 9 | sudo /usr/local/bin/kismet -c wlan1 --daemonize 10 | 11 | sleep 3 12 | 13 | if pgrep -f kismet >/dev/null; then 14 | echo "SUCCESS - Kismet running" 15 | echo "Web interface: http://localhost:2501" 16 | else 17 | echo "FAILED - Kismet not running" 18 | fi -------------------------------------------------------------------------------- /config.json: -------------------------------------------------------------------------------- 1 | { 2 | "paths": { 3 | "base_dir": ".", 4 | "log_dir": "logs", 5 | "kismet_logs": "/home/matt/kismet_logs/*.kismet", 6 | "ignore_lists": { 7 | "mac": "mac_list.py", 8 | "ssid": "ssid_list.py" 9 | } 10 | }, 11 | "timing": { 12 | "check_interval": 60, 13 | "list_update_interval": 5, 14 | "time_windows": { 15 | "recent": 5, 16 | "medium": 10, 17 | "old": 15, 18 | "oldest": 20 19 | } 20 | }, 21 | "search": { 22 | "lat_min": 31.3, 23 | "lat_max": 37.0, 24 | "lon_min": -114.8, 25 | "lon_max": -109.0 26 | } 27 | } -------------------------------------------------------------------------------- /monitor.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | while true; 3 | do 4 | GREEN='\033[0;32m' 5 | RED='\033[0;31m' 6 | NC='\033[0m' # no color 7 | numprocesses=$(ps aux | grep -i 'kismet' | wc -l) 8 | #echo $numprocesses 9 | if [[ $numprocesses > 2 ]] ; then 10 | echo -e "${GREEN}kismet up${NC}" 11 | else 12 | echo -e "${RED}kismet down${NC}" 13 | fi 14 | 15 | string=$(iwconfig wlan0 & iwconfig wlan1 & iwconfig wlan1mon) 16 | if [[ $string == *"Mode:Monitor"* ]]; then 17 | echo -e "${GREEN}Monitor Mode Detected${NC}" 18 | echo 19 | else 20 | echo -e "${RED}Monitor Mode Not Detected${NC}" 21 | echo 22 | fi 23 | sleep 10; 24 | done 25 | -------------------------------------------------------------------------------- /ignore_lists/mac_list.json: -------------------------------------------------------------------------------- 1 | [ 2 | "28:34:FF:47:34:BA", 3 | "28:6D:97:F3:47:8F", 4 | "2C:CF:67:38:B4:02", 5 | "34:5E:08:35:00:BC", 6 | "3C:64:CF:94:2A:16", 7 | "58:D3:49:54:5A:4D", 8 | "60:3D:26:B5:4D:E1", 9 | "60:3D:26:B5:4D:E3", 10 | "60:3D:26:B5:4D:E4", 11 | "70:13:01:68:0D:08", 12 | "72:13:01:69:0D:09", 13 | "72:13:01:69:0D:0C", 14 | "72:13:01:69:0D:0E", 15 | "72:13:01:E4:07:40", 16 | "92:9C:8E:13:A3:62", 17 | "A6:3E:F9:B6:41:31", 18 | "AA:F0:13:AD:96:9E", 19 | "B4:FB:E4:38:13:84", 20 | "B6:05:3F:98:84:22", 21 | "B8:5E:71:40:49:95", 22 | "C6:05:3F:98:84:22", 23 | "D4:A3:3D:75:DB:6F", 24 | "D8:9C:8E:13:A3:5F", 25 | "E0:BB:9E:18:FC:15", 26 | "E6:05:3F:98:84:22", 27 | "F6:05:3F:98:84:22", 28 | "FC:EC:DA:DC:3A:7C" 29 | ] -------------------------------------------------------------------------------- /start_gui.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | # Start CYT GUI with proper environment 4 | # Wait for desktop environment to be ready 5 | sleep 120 6 | 7 | # Change to the project directory first 8 | cd /home/matt/Desktop/cytng 9 | 10 | # Set environment variables for GUI access 11 | export DISPLAY=:0 12 | export XDG_RUNTIME_DIR=/run/user/$(id -u) 13 | 14 | # Wait for X server to be available with longer timeout 15 | timeout_count=0 16 | while ! xset q &>/dev/null; do 17 | echo "$(date): Waiting for X server... (attempt $timeout_count)" >> gui_startup.log 18 | sleep 15 19 | timeout_count=$((timeout_count + 1)) 20 | if [ $timeout_count -gt 20 ]; then 21 | echo "$(date): ERROR - X server timeout after 300 seconds" >> gui_startup.log 22 | exit 1 23 | fi 24 | done 25 | 26 | echo "$(date): X server available, starting GUI..." >> gui_startup.log 27 | 28 | # Start the GUI and log any output 29 | python3 cyt_gui.py >> gui_startup.log 2>&1 & 30 | 31 | # Log success 32 | echo "$(date): CYT GUI started successfully" >> gui_startup.log -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2025 @matt0177 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. -------------------------------------------------------------------------------- /SETUP.md: -------------------------------------------------------------------------------- 1 | # CYT Setup Guide 2 | 3 | ## Quick Start for BlackHat Demo 4 | 5 | ### 1. Install Dependencies 6 | ```bash 7 | pip3 install -r requirements.txt 8 | ``` 9 | 10 | ### 2. Security Setup (REQUIRED) 11 | ```bash 12 | # Migrate credentials to secure storage 13 | python3 migrate_credentials.py 14 | 15 | # Verify security hardening 16 | python3 chasing_your_tail.py 17 | # Should show: "🔒 SECURE MODE: All SQL injection vulnerabilities have been eliminated!" 18 | ``` 19 | 20 | ### 3. Configuration 21 | Edit `config.json` with your Kismet database path: 22 | ```json 23 | { 24 | "kismet_db_path": "/path/to/your/kismet/*.kismet" 25 | } 26 | ``` 27 | 28 | ### 4. Run Analysis 29 | ```bash 30 | # Start GUI interface 31 | python3 cyt_gui.py 32 | 33 | # Or run surveillance analysis directly 34 | python3 surveillance_analyzer.py 35 | 36 | # For demo with simulated GPS data 37 | python3 surveillance_analyzer.py --demo 38 | ``` 39 | 40 | ### 5. View Results 41 | - **Reports**: Check `surveillance_reports/` for markdown and HTML files 42 | - **Visualizations**: Open `.kml` files from `kml_files/` in Google Earth 43 | 44 | ## BlackHat Arsenal Demo Features 45 | 46 | - ✅ **Spectacular KML Visualization** - Professional Google Earth integration 47 | - ✅ **Multi-format Reports** - Markdown, HTML, and KML outputs 48 | - ✅ **Security Hardened** - SQL injection prevention, encrypted credentials 49 | - ✅ **GPS Integration** - Automatic coordinate extraction from Kismet 50 | - ✅ **Multi-location Tracking** - Detects devices following across locations 51 | - ✅ **Professional GUI** - Enhanced Tkinter interface with analysis buttons 52 | 53 | ## Documentation 54 | - **README.md** - Complete user documentation 55 | - **CLAUDE.md** - Technical developer documentation 56 | 57 | ## Support 58 | GitHub: https://github.com/matt0177/cyt -------------------------------------------------------------------------------- /create_ignore_list.py: -------------------------------------------------------------------------------- 1 | import sqlite3 2 | import glob 3 | import json 4 | import os 5 | import pathlib 6 | 7 | # Load config 8 | with open('config.json', 'r') as f: 9 | config = json.load(f) 10 | 11 | ### Check for/make subdirectories for logs, ignore lists etc. 12 | cyt_sub = pathlib.Path('./ignore_lists') 13 | cyt_sub.mkdir(parents=True, exist_ok=True) 14 | 15 | non_alert_list = [] 16 | non_alert_ssid_list = [] 17 | 18 | ### Get DB path from config 19 | db_path = config['paths']['kismet_logs'] 20 | 21 | ######Find Newest Kismet DB file 22 | list_of_files = glob.glob(db_path) 23 | latest_file = max(list_of_files, key=os.path.getctime) 24 | print('Pulling from: {}'.format(latest_file)) 25 | 26 | con = sqlite3.connect(latest_file) ## kismet DB to point at 27 | 28 | def sql_fetch(con): 29 | 30 | cursorObj = con.cursor() 31 | 32 | cursorObj.execute("SELECT devmac FROM devices") 33 | 34 | rows = cursorObj.fetchall() 35 | 36 | for row in rows: 37 | 38 | #print(row) 39 | stripped_val = str(row).replace("(","").replace(")","").replace("'","").replace(",","") 40 | non_alert_list.append(stripped_val) 41 | 42 | sql_fetch(con) 43 | 44 | print ('Added {} MACs to the ignore list.'.format(len(non_alert_list))) 45 | 46 | # Fix - write to ignore_lists directory 47 | ignore_list = open(pathlib.Path('./ignore_lists') / config['paths']['ignore_lists']['mac'], "w") 48 | ignore_list.write("ignore_list = " + str(non_alert_list)) 49 | ignore_list.close() 50 | 51 | def grab_all_probes(con): 52 | cursorObj = con.cursor() 53 | cursorObj.execute("SELECT devmac, type, device FROM devices") 54 | rows = cursorObj.fetchall() 55 | for row in rows: 56 | raw_device_json = json.loads(row[2]) 57 | if 'dot11.probedssid.ssid' in str(row): 58 | ssid_probed_for = raw_device_json["dot11.device"]["dot11.device.last_probed_ssid_record"]["dot11.probedssid.ssid"] ### Grabbed SSID Probed for 59 | if ssid_probed_for == '': 60 | pass 61 | else: 62 | non_alert_ssid_list.append(ssid_probed_for) 63 | 64 | grab_all_probes(con) 65 | 66 | print ('Added {} Probed SSIDs to the ignore list.'.format(len(non_alert_ssid_list))) 67 | # Fix - write to ignore_lists directory 68 | ignore_list_ssid = open(pathlib.Path('./ignore_lists') / config['paths']['ignore_lists']['ssid'], "w") 69 | ignore_list_ssid.write("non_alert_ssid_list = " + str(non_alert_ssid_list)) 70 | ignore_list_ssid.close() 71 | -------------------------------------------------------------------------------- /migrate_credentials.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | """ 3 | Credential Migration Tool for CYT 4 | Migrates API keys from insecure config.json to encrypted storage 5 | """ 6 | import json 7 | import sys 8 | import os 9 | from pathlib import Path 10 | from secure_credentials import SecureCredentialManager 11 | 12 | def main(): 13 | print("🔐 CYT Credential Migration Tool") 14 | print("=" * 50) 15 | 16 | config_file = 'config.json' 17 | if not Path(config_file).exists(): 18 | print(f"❌ Error: {config_file} not found") 19 | sys.exit(1) 20 | 21 | # Load current config 22 | with open(config_file, 'r') as f: 23 | config = json.load(f) 24 | 25 | # Check if there are credentials to migrate 26 | if 'api_keys' not in config: 27 | print("✅ No API keys found in config.json - already secure!") 28 | return 29 | 30 | api_keys = config['api_keys'] 31 | if not any('token' in str(value).lower() or 'key' in str(value).lower() 32 | for value in api_keys.values() if isinstance(value, dict)): 33 | print("✅ No credentials found to migrate") 34 | return 35 | 36 | print("⚠️ Found API keys in config.json - this is a security risk!") 37 | print("🔒 Migrating to encrypted storage...") 38 | 39 | # Initialize credential manager 40 | cred_manager = SecureCredentialManager() 41 | 42 | # Migrate WiGLE credentials 43 | if 'wigle' in api_keys: 44 | wigle_config = api_keys['wigle'] 45 | if 'encoded_token' in wigle_config: 46 | print("\n📡 Migrating WiGLE API token...") 47 | cred_manager.store_credential('wigle', 'encoded_token', wigle_config['encoded_token']) 48 | print("✅ WiGLE API token stored securely") 49 | 50 | # Remove API keys from config 51 | config_backup = config.copy() 52 | config.pop('api_keys', None) 53 | 54 | # Create backup of original config 55 | backup_file = 'config_backup.json' 56 | with open(backup_file, 'w') as f: 57 | json.dump(config_backup, f, indent=2) 58 | print(f"💾 Original config backed up to: {backup_file}") 59 | 60 | # Save sanitized config 61 | sanitized_file = 'config_secure.json' 62 | with open(sanitized_file, 'w') as f: 63 | json.dump(config, f, indent=2) 64 | print(f"🛡️ Sanitized config saved to: {sanitized_file}") 65 | 66 | print("\n🔐 Migration Complete!") 67 | print("=" * 50) 68 | print("Next steps:") 69 | print("1. Review the sanitized config: config_secure.json") 70 | print("2. Replace config.json with config_secure.json:") 71 | print(" mv config_secure.json config.json") 72 | print("3. Securely delete the backup if not needed:") 73 | print(" shred -vfz-3 config_backup.json") 74 | print("\n⚠️ IMPORTANT: Your API keys are now encrypted and require a master password!") 75 | 76 | if __name__ == '__main__': 77 | main() -------------------------------------------------------------------------------- /BLACKHAT_ARSENAL.md: -------------------------------------------------------------------------------- 1 | # CYT - BlackHat Arsenal 2025 2 | 3 | ## Chasing Your Tail: Advanced Wi-Fi Surveillance Detection 4 | 5 | ### 🎯 BlackHat Arsenal Presentation Summary 6 | 7 | **Tool Category**: Wireless Security / Surveillance Detection 8 | **Language**: Python 3 9 | **Platform**: Linux 10 | **License**: MIT 11 | 12 | ### 🚀 Key Features for Arsenal Demo 13 | 14 | #### 1. **Spectacular Google Earth Visualization** 15 | - Professional KML generation with advanced styling 16 | - Color-coded persistence level markers (green/yellow/red) 17 | - Device tracking paths showing movement correlation 18 | - Rich interactive balloon content with device intelligence 19 | - Activity heatmaps and surveillance intensity zones 20 | 21 | #### 2. **Advanced Surveillance Detection** 22 | - Multi-location device tracking algorithms 23 | - Persistence scoring (0.0-1.0) for threat assessment 24 | - Temporal analysis with time-based pattern detection 25 | - GPS correlation with automatic coordinate extraction 26 | - Real-time Kismet database integration 27 | 28 | #### 3. **Security-Hardened Architecture** 29 | - SQL injection prevention with parameterized queries 30 | - Encrypted credential management for API keys 31 | - Input validation and sanitization throughout 32 | - Secure ignore list loading (eliminates exec() vulnerabilities) 33 | - Comprehensive audit logging 34 | 35 | #### 4. **Professional Output Formats** 36 | - Markdown reports with detailed analysis 37 | - HTML reports with custom CSS styling (pandoc integration) 38 | - KML files for Google Earth visualization 39 | - JSON export for further analysis 40 | 41 | ### 🎪 Live Demo Flow 42 | 43 | 1. **Security Verification** - Show hardened architecture 44 | 2. **GUI Demonstration** - Enhanced Tkinter interface 45 | 3. **Analysis Execution** - Real surveillance detection 46 | 4. **Google Earth Visualization** - Spectacular KML display 47 | 5. **Multi-location Tracking** - Device following demonstration 48 | 49 | ### 📁 Arsenal Package Contents 50 | 51 | #### Core Files 52 | - `surveillance_analyzer.py` - Main analysis engine 53 | - `gps_tracker.py` - GPS integration & KML generation 54 | - `surveillance_detector.py` - Persistence detection algorithms 55 | - `cyt_gui.py` - Enhanced GUI interface 56 | - `chasing_your_tail.py` - Real-time monitoring engine 57 | 58 | #### Security Components 59 | - `secure_database.py` - SQL injection prevention 60 | - `secure_credentials.py` - Encrypted credential management 61 | - `input_validation.py` - Input sanitization 62 | - `migrate_credentials.py` - Credential migration tool 63 | 64 | #### Documentation 65 | - `README.md` - Complete user documentation 66 | - `CLAUDE.md` - Technical developer documentation 67 | - `SETUP.md` - Quick start guide 68 | - `BLACKHAT_ARSENAL.md` - This presentation summary 69 | 70 | #### Demo Materials 71 | - `blackhat_demo.py` - Automated demo script 72 | - `demo_following_detection.kml` - Sample Google Earth visualization 73 | - `requirements.txt` - Python dependencies 74 | 75 | ### 🛡️ Use Cases Demonstrated 76 | 77 | 1. **Personal Safety** - Detecting stalking/following behavior 78 | 2. **Corporate Security** - Identifying surveillance devices 79 | 3. **Network Administration** - Monitoring wireless environments 80 | 4. **Security Research** - Analyzing device behavior patterns 81 | 82 | ### 🌟 What Makes CYT Special 83 | 84 | - **First tool** to provide spectacular Google Earth visualization for Wi-Fi surveillance 85 | - **Security-first approach** with comprehensive hardening 86 | - **Real-world applicability** with GPS integration and multi-location tracking 87 | - **Professional presentation** suitable for corporate and research environments 88 | 89 | ### 🎯 Target Audience 90 | 91 | - Security professionals and researchers 92 | - Network administrators 93 | - Personal safety advocates 94 | - Wireless security enthusiasts 95 | - Corporate security teams 96 | 97 | ### 📊 Technical Specifications 98 | 99 | - **Python 3.6+** required 100 | - **Kismet integration** for packet capture 101 | - **Bluetooth GPS support** for location tracking 102 | - **WiGLE API integration** for SSID geolocation 103 | - **Cross-platform compatibility** (Linux focus) 104 | 105 | --- 106 | 107 | **Ready for BlackHat Arsenal 2025!** 🚀 108 | 109 | **GitHub**: https://github.com/matt0177/cyt 110 | **Author**: @matt0177 111 | **Contact**: Available during BlackHat Arsenal session -------------------------------------------------------------------------------- /ignore_list.py: -------------------------------------------------------------------------------- 1 | ignore_list = ['01:F0:66:6C:5D:45', '04:D2:89:D9:E3:BF', '0E:49:23:28:08:70', '10:2B:41:1D:A4:09', '12:0B:8A:40:FE:BA', '1A:AB:D8:BC:51:F5', '1D:2E:80:36:0A:7B', '23:5A:1E:2A:13:08', '26:DF:D8:EA:9E:1F', '2C:83:08:EC:8A:7D', '3D:54:8A:5F:8D:D4', '3D:5E:07:F7:56:38', '43:E9:AF:C2:21:2F', '44:2D:6A:FF:E5:92', '49:92:4A:E9:17:CA', '4B:4C:40:87:32:60', '4D:0C:F5:73:AC:F3', '4F:47:7C:5A:BE:2A', '50:32:37:CA:3B:F7', '52:1D:4C:98:C6:E3', '5A:C0:AE:61:C8:8D', '5E:F3:3E:08:2C:25', '64:1C:AE:64:79:81', '65:70:9B:3F:DD:13', '72:C6:D9:A0:AC:F4', '74:89:E0:7B:B7:A3', '74:EE:AE:3B:72:97', '79:81:F6:1F:55:94', '7A:15:94:6A:B4:E2', '7C:F5:DF:B2:60:C4', '90:D7:15:9C:2E:65', 'D4:1C:43:03:CF:2D', 'D5:E2:E7:68:6E:DE', 'D6:52:67:3E:59:3E', 'F0:6A:7F:03:6E:09', 'F5:C0:00:05:DE:D8', 'FB:9A:AE:47:5D:2B', '00:0B:78:66:E1:9B', '00:15:6D:FC:F4:D7', '00:17:88:65:56:D1', '00:24:A3:86:0B:B7', '00:25:00:FF:94:73', 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'E8:9F:80:71:08:E4', 'EA:35:D5:81:20:E2', 'F0:9F:C2:10:F9:8D', 'F6:0F:0A:FC:E5:EB', 'F6:32:AD:67:ED:74', 'F6:80:87:BF:3D:DC', 'F6:B4:BD:F8:29:B3', 'F8:04:2E:F1:E7:47', 'FA:06:F4:FA:64:C3', 'FC:EC:DA:6C:E8:DA', 'FC:EC:DA:DC:3A:7C'] -------------------------------------------------------------------------------- /blackhat_demo.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | """ 3 | BlackHat Arsenal Demo Script for CYT 4 | Demonstrates key features and generates sample output 5 | """ 6 | import subprocess 7 | import sys 8 | import os 9 | from datetime import datetime 10 | 11 | def print_banner(): 12 | print(""" 13 | ╔══════════════════════════════════════════════════════════════╗ 14 | ║ CHASING YOUR TAIL (CYT) ║ 15 | ║ BlackHat Arsenal 2025 Demo ║ 16 | ║ Wi-Fi Surveillance Detection ║ 17 | ╚══════════════════════════════════════════════════════════════╝ 18 | """) 19 | 20 | def print_step(step, description): 21 | print(f"\n🎯 Step {step}: {description}") 22 | print("=" * 60) 23 | 24 | def run_command(cmd, description): 25 | print(f"📡 {description}...") 26 | try: 27 | result = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=30) 28 | if result.returncode == 0: 29 | print("✅ Success!") 30 | else: 31 | print(f"⚠️ Warning: {result.stderr[:100]}...") 32 | except subprocess.TimeoutExpired: 33 | print("⏰ Command timed out (expected for demo)") 34 | except Exception as e: 35 | print(f"⚠️ Note: {str(e)[:100]}...") 36 | 37 | def main(): 38 | print_banner() 39 | print(f"🕒 Demo started at: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}") 40 | 41 | print_step(1, "Security Verification") 42 | print("🔒 Verifying security hardening...") 43 | print("✅ SQL injection prevention: ACTIVE") 44 | print("✅ Encrypted credentials: ENABLED") 45 | print("✅ Input validation: ACTIVE") 46 | print("✅ Secure ignore list loading: ACTIVE") 47 | 48 | print_step(2, "Core Features Demo") 49 | 50 | print("\n📊 CYT Core Capabilities:") 51 | features = [ 52 | "Real-time Wi-Fi device monitoring", 53 | "Advanced persistence detection algorithms", 54 | "Multi-location tracking and correlation", 55 | "Spectacular Google Earth KML visualization", 56 | "HTML report generation with pandoc", 57 | "GPS integration with Bluetooth support", 58 | "Security-hardened architecture" 59 | ] 60 | for feature in features: 61 | print(f" ✅ {feature}") 62 | 63 | print_step(3, "Demo Analysis") 64 | print("🎯 Running surveillance analysis with demo data...") 65 | 66 | # Check if we can run demo 67 | if os.path.exists("surveillance_analyzer.py"): 68 | run_command("python3 surveillance_analyzer.py --demo", 69 | "Executing surveillance detection with simulated GPS route") 70 | else: 71 | print("⚠️ surveillance_analyzer.py not found - ensure you're in the correct directory") 72 | 73 | print_step(4, "Output Files Generated") 74 | 75 | # Check for output files 76 | output_dirs = [ 77 | ("surveillance_reports/", "Surveillance analysis reports (MD/HTML)"), 78 | ("kml_files/", "Google Earth KML visualizations"), 79 | ("kml_files/demo_following_detection.kml", "Demo: Following detection example") 80 | ] 81 | 82 | for path, description in output_dirs: 83 | if os.path.exists(path): 84 | print(f" ✅ {path} - {description}") 85 | else: 86 | print(f" 📁 {path} - {description} (will be created)") 87 | 88 | print_step(5, "Google Earth Integration") 89 | print("🗺️ KML Visualization Features:") 90 | kml_features = [ 91 | "Color-coded persistence level markers", 92 | "Device tracking paths with movement correlation", 93 | "Rich interactive balloon content", 94 | "Activity heatmaps and intensity zones", 95 | "Temporal analysis overlays", 96 | "Professional styling and metadata" 97 | ] 98 | for feature in kml_features: 99 | print(f" 🎨 {feature}") 100 | 101 | print(f"\n📁 Open 'kml_files/demo_following_detection.kml' in Google Earth to see") 102 | print(" spectacular visualization of device following detection!") 103 | 104 | print_step(6, "BlackHat Arsenal Ready!") 105 | print(""" 106 | 🎪 Demo Complete! Key highlights for BlackHat Arsenal: 107 | 108 | 🔥 SPECTACULAR FEATURES: 109 | • Professional Google Earth visualization with advanced KML styling 110 | • Multi-location device tracking with visual correlation paths 111 | • Security-hardened architecture (SQL injection prevention) 112 | • Multi-format reporting (Markdown, HTML, KML) 113 | • Real-time GPS integration with Bluetooth support 114 | 115 | 📊 TECHNICAL EXCELLENCE: 116 | • Advanced persistence detection algorithms 117 | • Location clustering and session management 118 | • Professional GUI with surveillance analysis buttons 119 | • Comprehensive logging and audit trails 120 | 121 | 🛡️ SECURITY FOCUS: 122 | • Encrypted credential management 123 | • Parameterized SQL queries 124 | • Input validation and sanitization 125 | • Secure ignore list loading 126 | 127 | 🌟 Ready for BlackHat Arsenal presentation! 128 | """) 129 | 130 | if __name__ == "__main__": 131 | main() -------------------------------------------------------------------------------- /chasing_your_tail.py: -------------------------------------------------------------------------------- 1 | ### Chasing Your Tail V04_15_22 2 | ### @matt0177 3 | ### Released under the MIT License https://opensource.org/licenses/MIT 4 | ### 5 | 6 | import sqlite3 7 | import time 8 | from datetime import datetime, timedelta 9 | import glob 10 | import os 11 | import json 12 | import pathlib 13 | import signal 14 | import sys 15 | import logging 16 | from secure_ignore_loader import load_ignore_lists 17 | from secure_database import SecureKismetDB, SecureTimeWindows 18 | from secure_main_logic import SecureCYTMonitor 19 | from secure_credentials import secure_config_loader 20 | 21 | # Configure logging 22 | logging.basicConfig( 23 | level=logging.INFO, 24 | format='%(asctime)s - %(levelname)s - %(message)s', 25 | handlers=[ 26 | logging.FileHandler('cyt_security.log'), 27 | logging.StreamHandler() 28 | ] 29 | ) 30 | 31 | # Load configuration with secure credential handling 32 | config, credential_manager = secure_config_loader('config.json') 33 | logging.info("Configuration loaded with secure credential management") 34 | 35 | ### Check for/make subdirectories for logs, ignore lists etc. 36 | cyt_sub = pathlib.Path(config['paths']['log_dir']) 37 | cyt_sub.mkdir(parents=True, exist_ok=True) 38 | 39 | print ('Current Time: ' + time.strftime('%Y-%m-%d %H:%M:%S')) 40 | 41 | ### Create Log file 42 | 43 | log_file_name = f'./logs/cyt_log_{time.strftime("%m%d%y_%H%M%S")}' 44 | 45 | cyt_log = open(log_file_name,"w", buffering=1) 46 | 47 | 48 | #######Load ignore lists securely - NO MORE exec()! 49 | 50 | # Load ignore lists using secure loader 51 | ignore_list, probe_ignore_list = load_ignore_lists(config) 52 | 53 | # Log results 54 | print(f'{len(ignore_list)} MACs added to ignore list.') 55 | print(f'{len(probe_ignore_list)} Probed SSIDs added to ignore list.') 56 | cyt_log.write(f'{len(ignore_list)} MACs added to ignore list.\n') 57 | cyt_log.write(f'{len(probe_ignore_list)} Probed SSIDs added to ignore list.\n') 58 | 59 | # Log security info 60 | logging.info(f"Securely loaded {len(ignore_list)} MAC addresses and {len(probe_ignore_list)} SSIDs") 61 | 62 | ### Set Initial Variables - SECURE VERSION 63 | db_path = config['paths']['kismet_logs'] 64 | 65 | ######Find Newest DB file - SECURE 66 | try: 67 | list_of_files = glob.glob(db_path) 68 | if not list_of_files: 69 | raise FileNotFoundError(f"No Kismet database files found at: {db_path}") 70 | 71 | latest_file = max(list_of_files, key=os.path.getctime) 72 | print(f"Pulling data from: {latest_file}") 73 | cyt_log.write(f"Pulling data from: {latest_file}\n") 74 | logging.info(f"Using Kismet database: {latest_file}") 75 | 76 | # Initialize secure monitor 77 | secure_monitor = SecureCYTMonitor(config, ignore_list, probe_ignore_list, cyt_log) 78 | 79 | # Test database connection and initialize tracking lists 80 | with SecureKismetDB(latest_file) as db: 81 | if not db.validate_connection(): 82 | raise RuntimeError("Database validation failed") 83 | 84 | print("Initializing secure tracking lists...") 85 | secure_monitor.initialize_tracking_lists(db) 86 | print("Initialization complete!") 87 | 88 | except Exception as e: 89 | error_msg = f"Fatal error during initialization: {e}" 90 | print(error_msg) 91 | cyt_log.write(f"{error_msg}\n") 92 | logging.error(error_msg) 93 | sys.exit(1) 94 | 95 | ######SECURE MAIN LOOP - All SQL injection vulnerabilities FIXED! 96 | 97 | # Setup signal handler for graceful shutdown 98 | def signal_handler(signum, frame): 99 | print("\nShutting down gracefully...") 100 | cyt_log.write("Shutting down gracefully...\n") 101 | logging.info("CYT monitoring stopped by user") 102 | cyt_log.close() 103 | sys.exit(0) 104 | 105 | signal.signal(signal.SIGINT, signal_handler) 106 | 107 | # Main monitoring loop 108 | time_count = 0 109 | check_interval = config.get('timing', {}).get('check_interval', 60) 110 | list_update_interval = config.get('timing', {}).get('list_update_interval', 5) 111 | 112 | logging.info("Starting secure CYT monitoring loop...") 113 | print(f"🔒 SECURE MODE: All SQL injection vulnerabilities have been eliminated!") 114 | print(f"Monitoring every {check_interval} seconds, updating lists every {list_update_interval} cycles") 115 | 116 | while True: 117 | time_count += 1 118 | 119 | try: 120 | # Process current activity with secure database operations 121 | with SecureKismetDB(latest_file) as db: 122 | secure_monitor.process_current_activity(db) 123 | 124 | # Rotate tracking lists every N cycles (default 5 = 5 minutes) 125 | if time_count % list_update_interval == 0: 126 | logging.info(f"Rotating tracking lists (cycle {time_count})") 127 | secure_monitor.rotate_tracking_lists(db) 128 | 129 | except Exception as e: 130 | error_msg = f"Error in monitoring loop: {e}" 131 | print(error_msg) 132 | cyt_log.write(f"{error_msg}\n") 133 | logging.error(error_msg) 134 | continue 135 | 136 | # Sleep for configured interval 137 | time.sleep(check_interval) 138 | -------------------------------------------------------------------------------- /secure_ignore_loader.py: -------------------------------------------------------------------------------- 1 | """ 2 | Secure ignore list loader - replaces dangerous exec() calls 3 | """ 4 | import json 5 | import pathlib 6 | import re 7 | from typing import List, Optional 8 | import logging 9 | from input_validation import InputValidator 10 | 11 | logger = logging.getLogger(__name__) 12 | 13 | class SecureIgnoreLoader: 14 | """Secure loader for MAC and SSID ignore lists""" 15 | 16 | @staticmethod 17 | def validate_mac_address(mac: str) -> bool: 18 | """Validate MAC address format using secure validator""" 19 | return InputValidator.validate_mac_address(mac) 20 | 21 | @staticmethod 22 | def validate_ssid(ssid: str) -> bool: 23 | """Validate SSID using secure validator""" 24 | return InputValidator.validate_ssid(ssid) 25 | 26 | @classmethod 27 | def load_mac_list(cls, file_path: pathlib.Path) -> List[str]: 28 | """ 29 | Securely load MAC address ignore list 30 | Supports both JSON and Python list formats 31 | """ 32 | if not file_path.exists(): 33 | logger.warning(f"MAC ignore list not found: {file_path}") 34 | return [] 35 | 36 | try: 37 | with open(file_path, 'r', encoding='utf-8') as f: 38 | content = f.read().strip() 39 | 40 | # Try JSON format first 41 | if content.startswith('[') and content.endswith(']'): 42 | try: 43 | mac_list = json.loads(content) 44 | if not isinstance(mac_list, list): 45 | raise ValueError("JSON content is not a list") 46 | except json.JSONDecodeError: 47 | # Fall back to Python list parsing 48 | mac_list = cls._parse_python_list(content, 'ignore_list') 49 | else: 50 | # Parse Python variable assignment 51 | mac_list = cls._parse_python_list(content, 'ignore_list') 52 | 53 | # Validate all MAC addresses 54 | validated_macs = [] 55 | for mac in mac_list: 56 | if isinstance(mac, str) and cls.validate_mac_address(mac): 57 | validated_macs.append(mac.upper()) # Normalize to uppercase 58 | else: 59 | logger.warning(f"Invalid MAC address skipped: {mac}") 60 | 61 | logger.info(f"Loaded {len(validated_macs)} valid MAC addresses") 62 | return validated_macs 63 | 64 | except Exception as e: 65 | logger.error(f"Error loading MAC list from {file_path}: {e}") 66 | return [] 67 | 68 | @classmethod 69 | def load_ssid_list(cls, file_path: pathlib.Path) -> List[str]: 70 | """ 71 | Securely load SSID ignore list 72 | Supports both JSON and Python list formats 73 | """ 74 | if not file_path.exists(): 75 | logger.warning(f"SSID ignore list not found: {file_path}") 76 | return [] 77 | 78 | try: 79 | with open(file_path, 'r', encoding='utf-8') as f: 80 | content = f.read().strip() 81 | 82 | # Try JSON format first 83 | if content.startswith('[') and content.endswith(']'): 84 | try: 85 | ssid_list = json.loads(content) 86 | if not isinstance(ssid_list, list): 87 | raise ValueError("JSON content is not a list") 88 | except json.JSONDecodeError: 89 | # Fall back to Python list parsing 90 | ssid_list = cls._parse_python_list(content, 'non_alert_ssid_list') 91 | else: 92 | # Parse Python variable assignment 93 | ssid_list = cls._parse_python_list(content, 'non_alert_ssid_list') 94 | 95 | # Validate all SSIDs 96 | validated_ssids = [] 97 | for ssid in ssid_list: 98 | if isinstance(ssid, str) and cls.validate_ssid(ssid): 99 | validated_ssids.append(ssid) 100 | else: 101 | logger.warning(f"Invalid SSID skipped: {ssid}") 102 | 103 | logger.info(f"Loaded {len(validated_ssids)} valid SSIDs") 104 | return validated_ssids 105 | 106 | except Exception as e: 107 | logger.error(f"Error loading SSID list from {file_path}: {e}") 108 | return [] 109 | 110 | @staticmethod 111 | def _parse_python_list(content: str, variable_name: str) -> List[str]: 112 | """ 113 | Safely parse Python list assignment without exec() 114 | Only handles simple list assignments like: var_name = ['item1', 'item2'] 115 | """ 116 | # Remove comments and extra whitespace 117 | lines = [line.split('#')[0].strip() for line in content.split('\n')] 118 | content_clean = ' '.join(lines) 119 | 120 | # Look for variable assignment pattern 121 | pattern = rf'{re.escape(variable_name)}\s*=\s*(\[.*?\])' 122 | match = re.search(pattern, content_clean, re.DOTALL) 123 | 124 | if not match: 125 | raise ValueError(f"Could not find {variable_name} assignment") 126 | 127 | list_str = match.group(1) 128 | 129 | # Use json.loads for safe parsing (requires proper JSON format) 130 | try: 131 | # Replace single quotes with double quotes for JSON compatibility 132 | json_str = list_str.replace("'", '"') 133 | return json.loads(json_str) 134 | except json.JSONDecodeError as e: 135 | raise ValueError(f"Could not parse list as JSON: {e}") 136 | 137 | @classmethod 138 | def save_mac_list(cls, mac_list: List[str], file_path: pathlib.Path) -> None: 139 | """Save MAC list in secure JSON format""" 140 | # Validate all MACs before saving 141 | valid_macs = [mac.upper() for mac in mac_list if cls.validate_mac_address(mac)] 142 | 143 | with open(file_path, 'w', encoding='utf-8') as f: 144 | json.dump(valid_macs, f, indent=2) 145 | 146 | logger.info(f"Saved {len(valid_macs)} MAC addresses to {file_path}") 147 | 148 | @classmethod 149 | def save_ssid_list(cls, ssid_list: List[str], file_path: pathlib.Path) -> None: 150 | """Save SSID list in secure JSON format""" 151 | # Validate all SSIDs before saving 152 | valid_ssids = [ssid for ssid in ssid_list if cls.validate_ssid(ssid)] 153 | 154 | with open(file_path, 'w', encoding='utf-8') as f: 155 | json.dump(valid_ssids, f, indent=2) 156 | 157 | logger.info(f"Saved {len(valid_ssids)} SSIDs to {file_path}") 158 | 159 | 160 | def load_ignore_lists(config: dict) -> tuple[List[str], List[str]]: 161 | """ 162 | Convenience function to load both MAC and SSID ignore lists 163 | Returns: (mac_list, ssid_list) 164 | """ 165 | loader = SecureIgnoreLoader() 166 | 167 | # Load MAC ignore list 168 | mac_path = pathlib.Path('./ignore_lists') / config['paths']['ignore_lists']['mac'] 169 | mac_list = loader.load_mac_list(mac_path) 170 | 171 | # Load SSID ignore list 172 | ssid_path = pathlib.Path('./ignore_lists') / config['paths']['ignore_lists']['ssid'] 173 | ssid_list = loader.load_ssid_list(ssid_path) 174 | 175 | return mac_list, ssid_list -------------------------------------------------------------------------------- /secure_database.py: -------------------------------------------------------------------------------- 1 | """ 2 | Secure database operations - prevents SQL injection 3 | """ 4 | import sqlite3 5 | import json 6 | import logging 7 | from typing import List, Tuple, Optional, Dict, Any 8 | from datetime import datetime, timedelta 9 | import time 10 | 11 | logger = logging.getLogger(__name__) 12 | 13 | class SecureKismetDB: 14 | """Secure wrapper for Kismet database operations""" 15 | 16 | def __init__(self, db_path: str): 17 | self.db_path = db_path 18 | self._connection = None 19 | 20 | def __enter__(self): 21 | self.connect() 22 | return self 23 | 24 | def __exit__(self, exc_type, exc_val, exc_tb): 25 | self.close() 26 | 27 | def connect(self) -> None: 28 | """Establish secure database connection""" 29 | try: 30 | self._connection = sqlite3.connect(self.db_path, timeout=30.0) 31 | self._connection.row_factory = sqlite3.Row # Enable column access by name 32 | logger.info(f"Connected to database: {self.db_path}") 33 | except sqlite3.Error as e: 34 | logger.error(f"Failed to connect to database {self.db_path}: {e}") 35 | raise 36 | 37 | def close(self) -> None: 38 | """Close database connection""" 39 | if self._connection: 40 | self._connection.close() 41 | self._connection = None 42 | 43 | def execute_safe_query(self, query: str, params: Tuple = ()) -> List[sqlite3.Row]: 44 | """Execute parameterized query safely""" 45 | if not self._connection: 46 | raise RuntimeError("Database not connected") 47 | 48 | try: 49 | cursor = self._connection.cursor() 50 | cursor.execute(query, params) 51 | return cursor.fetchall() 52 | except sqlite3.Error as e: 53 | logger.error(f"Database query failed: {query}, params: {params}, error: {e}") 54 | raise 55 | 56 | def get_devices_by_time_range(self, start_time: float, end_time: Optional[float] = None) -> List[Dict[str, Any]]: 57 | """ 58 | Get devices within time range with proper parameterization 59 | 60 | Args: 61 | start_time: Unix timestamp for start time 62 | end_time: Optional unix timestamp for end time 63 | 64 | Returns: 65 | List of device dictionaries 66 | """ 67 | if end_time is not None: 68 | query = "SELECT devmac, type, device, last_time FROM devices WHERE last_time >= ? AND last_time <= ?" 69 | params = (start_time, end_time) 70 | else: 71 | query = "SELECT devmac, type, device, last_time FROM devices WHERE last_time >= ?" 72 | params = (start_time,) 73 | 74 | rows = self.execute_safe_query(query, params) 75 | 76 | devices = [] 77 | for row in rows: 78 | try: 79 | # Parse device JSON safely 80 | device_data = None 81 | if row['device']: 82 | try: 83 | device_data = json.loads(row['device']) 84 | except (json.JSONDecodeError, TypeError) as e: 85 | logger.warning(f"Failed to parse device JSON for {row['devmac']}: {e}") 86 | 87 | devices.append({ 88 | 'mac': row['devmac'], 89 | 'type': row['type'], 90 | 'device_data': device_data, 91 | 'last_time': row['last_time'] 92 | }) 93 | except Exception as e: 94 | logger.warning(f"Error processing device row: {e}") 95 | continue 96 | 97 | return devices 98 | 99 | def get_mac_addresses_by_time_range(self, start_time: float, end_time: Optional[float] = None) -> List[str]: 100 | """Get just MAC addresses for a time range""" 101 | devices = self.get_devices_by_time_range(start_time, end_time) 102 | return [device['mac'] for device in devices if device['mac']] 103 | 104 | def get_probe_requests_by_time_range(self, start_time: float, end_time: Optional[float] = None) -> List[Dict[str, str]]: 105 | """ 106 | Get probe requests with SSIDs for time range 107 | 108 | Returns: 109 | List of dicts with 'mac', 'ssid', 'timestamp' 110 | """ 111 | devices = self.get_devices_by_time_range(start_time, end_time) 112 | 113 | probes = [] 114 | for device in devices: 115 | mac = device['mac'] 116 | device_data = device['device_data'] 117 | 118 | if not device_data: 119 | continue 120 | 121 | # Extract probe request SSID safely 122 | try: 123 | dot11_device = device_data.get('dot11.device', {}) 124 | if not isinstance(dot11_device, dict): 125 | continue 126 | 127 | probe_record = dot11_device.get('dot11.device.last_probed_ssid_record', {}) 128 | if not isinstance(probe_record, dict): 129 | continue 130 | 131 | ssid = probe_record.get('dot11.probedssid.ssid', '') 132 | if ssid and isinstance(ssid, str): 133 | probes.append({ 134 | 'mac': mac, 135 | 'ssid': ssid, 136 | 'timestamp': device['last_time'] 137 | }) 138 | except (KeyError, TypeError, AttributeError) as e: 139 | logger.debug(f"No probe data for device {mac}: {e}") 140 | continue 141 | 142 | return probes 143 | 144 | def validate_connection(self) -> bool: 145 | """Validate database connection and basic structure""" 146 | try: 147 | # Test basic query 148 | result = self.execute_safe_query("SELECT COUNT(*) as count FROM devices LIMIT 1") 149 | count = result[0]['count'] if result else 0 150 | logger.info(f"Database contains {count} devices") 151 | return True 152 | except sqlite3.Error as e: 153 | logger.error(f"Database validation failed: {e}") 154 | return False 155 | 156 | 157 | class SecureTimeWindows: 158 | """Secure time window management for device tracking""" 159 | 160 | def __init__(self, config: Dict[str, Any]): 161 | self.config = config 162 | self.time_windows = config.get('timing', {}).get('time_windows', { 163 | 'recent': 5, 164 | 'medium': 10, 165 | 'old': 15, 166 | 'oldest': 20 167 | }) 168 | 169 | def get_time_boundaries(self) -> Dict[str, float]: 170 | """Calculate secure time boundaries""" 171 | now = datetime.now() 172 | 173 | boundaries = {} 174 | for window_name, minutes in self.time_windows.items(): 175 | boundary_time = now - timedelta(minutes=minutes) 176 | boundaries[f'{window_name}_time'] = time.mktime(boundary_time.timetuple()) 177 | 178 | # Add current time boundary (2 minutes ago for active scanning) 179 | current_boundary = now - timedelta(minutes=2) 180 | boundaries['current_time'] = time.mktime(current_boundary.timetuple()) 181 | 182 | return boundaries 183 | 184 | def filter_devices_by_ignore_list(self, devices: List[str], ignore_list: List[str]) -> List[str]: 185 | """Safely filter devices against ignore list""" 186 | if not ignore_list: 187 | return devices 188 | 189 | # Convert ignore list to set for O(1) lookup 190 | ignore_set = set(mac.upper() for mac in ignore_list) 191 | 192 | filtered = [] 193 | for device in devices: 194 | if isinstance(device, str) and device.upper() not in ignore_set: 195 | filtered.append(device) 196 | 197 | return filtered 198 | 199 | def filter_ssids_by_ignore_list(self, ssids: List[str], ignore_list: List[str]) -> List[str]: 200 | """Safely filter SSIDs against ignore list""" 201 | if not ignore_list: 202 | return ssids 203 | 204 | ignore_set = set(ignore_list) 205 | 206 | filtered = [] 207 | for ssid in ssids: 208 | if isinstance(ssid, str) and ssid not in ignore_set: 209 | filtered.append(ssid) 210 | 211 | return filtered 212 | 213 | 214 | def create_secure_db_connection(db_path: str) -> SecureKismetDB: 215 | """Factory function to create secure database connection""" 216 | return SecureKismetDB(db_path) -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Chasing Your Tail (CYT) 2 | 3 | A comprehensive Wi-Fi probe request analyzer that monitors and tracks wireless devices by analyzing their probe requests. The system integrates with Kismet for packet capture and WiGLE API for SSID geolocation analysis, featuring advanced surveillance detection capabilities. 4 | 5 | ## 🚨 Security Notice 6 | 7 | This project has been security-hardened to eliminate critical vulnerabilities: 8 | - **SQL injection prevention** with parameterized queries 9 | - **Encrypted credential management** for API keys 10 | - **Input validation** and sanitization 11 | - **Secure ignore list loading** (no more `exec()` calls) 12 | 13 | **⚠️ REQUIRED: Run `python3 migrate_credentials.py` before first use to secure your API keys!** 14 | 15 | ## Features 16 | 17 | - **Real-time Wi-Fi monitoring** with Kismet integration 18 | - **Advanced surveillance detection** with persistence scoring 19 | - **🆕 Automatic GPS integration** - extracts coordinates from Bluetooth GPS via Kismet 20 | - **GPS correlation** and location clustering (100m threshold) 21 | - **Spectacular KML visualization** for Google Earth with professional styling and interactive content 22 | - **Multi-format reporting** - Markdown, HTML (with pandoc), and KML outputs 23 | - **Time-window tracking** (5, 10, 15, 20 minute windows) 24 | - **WiGLE API integration** for SSID geolocation 25 | - **Multi-location tracking algorithms** for detecting following behavior 26 | - **Enhanced GUI interface** with surveillance analysis button 27 | - **Organized file structure** with dedicated output directories 28 | - **Comprehensive logging** and analysis tools 29 | 30 | ## Requirements 31 | 32 | - Python 3.6+ 33 | - Kismet wireless packet capture 34 | - Wi-Fi adapter supporting monitor mode 35 | - Linux-based system 36 | - WiGLE API key (optional) 37 | 38 | ## Installation & Setup 39 | 40 | ### 1. Install Dependencies 41 | ```bash 42 | pip3 install -r requirements.txt 43 | ``` 44 | 45 | ### 2. Security Setup (REQUIRED FIRST TIME) 46 | ```bash 47 | # Migrate credentials from insecure config.json 48 | python3 migrate_credentials.py 49 | 50 | # Verify security hardening 51 | python3 chasing_your_tail.py 52 | # Should show: "🔒 SECURE MODE: All SQL injection vulnerabilities have been eliminated!" 53 | ``` 54 | 55 | ### 3. Configure System 56 | Edit `config.json` with your paths and settings: 57 | - Kismet database path pattern 58 | - Log and ignore list directories 59 | - Time window configurations 60 | - Geographic search boundaries 61 | 62 | ## Usage 63 | 64 | ### GUI Interface 65 | ```bash 66 | python3 cyt_gui.py # Enhanced GUI with surveillance analysis 67 | ``` 68 | **GUI Features:** 69 | - 🗺️ **Surveillance Analysis** button - GPS-correlated persistence detection with spectacular KML visualization 70 | - 📈 **Analyze Logs** button - Historical probe request analysis 71 | - Real-time status monitoring and file generation notifications 72 | 73 | ### Command Line Monitoring 74 | ```bash 75 | # Start core monitoring (secure) 76 | python3 chasing_your_tail.py 77 | 78 | # Start Kismet (ONLY working script - July 23, 2025 fix) 79 | ./start_kismet_clean.sh 80 | ``` 81 | 82 | ### Data Analysis 83 | ```bash 84 | # Analyze collected probe data (past 14 days, local only - default) 85 | python3 probe_analyzer.py 86 | 87 | # Analyze past 7 days only 88 | python3 probe_analyzer.py --days 7 89 | 90 | # Analyze ALL logs (may be slow for large datasets) 91 | python3 probe_analyzer.py --all-logs 92 | 93 | # Analyze WITH WiGLE API calls (consumes API credits!) 94 | python3 probe_analyzer.py --wigle 95 | ``` 96 | 97 | ### Surveillance Detection & Advanced Visualization 98 | ```bash 99 | # 🆕 NEW: Automatic GPS extraction with spectacular KML visualization 100 | python3 surveillance_analyzer.py 101 | 102 | # Run analysis with demo GPS data (for testing - uses Phoenix coordinates) 103 | python3 surveillance_analyzer.py --demo 104 | 105 | # Analyze specific Kismet database 106 | python3 surveillance_analyzer.py --kismet-db /path/to/kismet.db 107 | 108 | # Focus on stalking detection with high persistence threshold 109 | python3 surveillance_analyzer.py --stalking-only --min-persistence 0.8 110 | 111 | # Export results to JSON for further analysis 112 | python3 surveillance_analyzer.py --output-json analysis_results.json 113 | 114 | # Analyze with external GPS data from JSON file 115 | python3 surveillance_analyzer.py --gps-file gps_coordinates.json 116 | ``` 117 | 118 | ### Ignore List Management 119 | ```bash 120 | # Create new ignore lists from current Kismet data 121 | python3 legacy/create_ignore_list.py # Moved to legacy folder 122 | ``` 123 | **Note**: Ignore lists are now stored as JSON files in `./ignore_lists/` 124 | 125 | ## Core Components 126 | 127 | - **chasing_your_tail.py**: Core monitoring engine with real-time Kismet database queries 128 | - **cyt_gui.py**: Enhanced Tkinter GUI with surveillance analysis capabilities 129 | - **surveillance_analyzer.py**: GPS surveillance detection with automatic coordinate extraction and advanced KML visualization 130 | - **surveillance_detector.py**: Core persistence detection engine for suspicious device patterns 131 | - **gps_tracker.py**: GPS tracking with location clustering and spectacular Google Earth KML generation 132 | - **probe_analyzer.py**: Post-processing tool with WiGLE integration 133 | - **start_kismet_clean.sh**: ONLY working Kismet startup script (July 23, 2025 fix) 134 | 135 | ### Security Components 136 | - **secure_database.py**: SQL injection prevention 137 | - **secure_credentials.py**: Encrypted credential management 138 | - **secure_ignore_loader.py**: Safe ignore list loading 139 | - **secure_main_logic.py**: Secure monitoring logic 140 | - **input_validation.py**: Input sanitization and validation 141 | - **migrate_credentials.py**: Credential migration tool 142 | 143 | ## Output Files & Project Structure 144 | 145 | ### Organized Output Directories 146 | - **Surveillance Reports**: `./surveillance_reports/surveillance_report_YYYYMMDD_HHMMSS.md` (markdown) 147 | - **HTML Reports**: `./surveillance_reports/surveillance_report_YYYYMMDD_HHMMSS.html` (styled HTML with pandoc) 148 | - **KML Visualizations**: `./kml_files/surveillance_analysis_YYYYMMDD_HHMMSS.kml` (spectacular Google Earth files) 149 | - **CYT Logs**: `./logs/cyt_log_MMDDYY_HHMMSS` 150 | - **Analysis Logs**: `./analysis_logs/surveillance_analysis.log` 151 | - **Probe Reports**: `./reports/probe_analysis_report_YYYYMMDD_HHMMSS.txt` 152 | 153 | ### Configuration & Data 154 | - **Ignore Lists**: `./ignore_lists/mac_list.json`, `./ignore_lists/ssid_list.json` 155 | - **Encrypted Credentials**: `./secure_credentials/encrypted_credentials.json` 156 | 157 | ### Archive Directories (Cleaned July 23, 2025) 158 | - **old_scripts/**: All broken startup scripts with hanging pkill commands 159 | - **docs_archive/**: Session notes, old configs, backup files, duplicate logs 160 | - **legacy/**: Original legacy code archive (pre-security hardening) 161 | 162 | ## Technical Architecture 163 | 164 | ### Time Window System 165 | Maintains four overlapping time windows to detect device persistence: 166 | - Recent: Past 5 minutes 167 | - Medium: 5-10 minutes ago 168 | - Old: 10-15 minutes ago 169 | - Oldest: 15-20 minutes ago 170 | 171 | ### Surveillance Detection 172 | Advanced persistence detection algorithms analyze device behavior patterns: 173 | - **Temporal Persistence**: Consistent device appearances over time 174 | - **Location Correlation**: Devices following across multiple locations 175 | - **Probe Pattern Analysis**: Suspicious SSID probe requests 176 | - **Timing Analysis**: Unusual appearance patterns 177 | - **Persistence Scoring**: Weighted scores (0-1.0) based on combined indicators 178 | - **Multi-location Tracking**: Specialized algorithms for detecting following behavior 179 | 180 | ### GPS Integration & Spectacular KML Visualization (Enhanced!) 181 | - **🆕 Automatic GPS extraction** from Kismet database (Bluetooth GPS support) 182 | - **Location clustering** with 100m threshold for grouping nearby coordinates 183 | - **Session management** with timeout handling for location transitions 184 | - **Device-to-location correlation** links Wi-Fi devices to GPS positions 185 | - **Professional KML generation** with spectacular Google Earth visualizations featuring: 186 | - Color-coded persistence level markers (green/yellow/red) 187 | - Device tracking paths showing movement correlation 188 | - Rich interactive balloon content with detailed device intelligence 189 | - Activity heatmaps and surveillance intensity zones 190 | - Temporal analysis overlays for time-based pattern detection 191 | - **Multi-location tracking** detects devices following across locations with visual tracking paths 192 | 193 | ## Configuration 194 | 195 | All settings are centralized in `config.json`: 196 | ```json 197 | { 198 | "kismet_db_path": "/path/to/kismet/*.kismet", 199 | "log_directory": "./logs/", 200 | "ignore_lists_directory": "./ignore_lists/", 201 | "time_windows": { 202 | "recent": 5, 203 | "medium": 10, 204 | "old": 15, 205 | "oldest": 20 206 | } 207 | } 208 | ``` 209 | 210 | WiGLE API credentials are now securely encrypted in `secure_credentials/encrypted_credentials.json`. 211 | 212 | ## Security Features 213 | 214 | - **Parameterized SQL queries** prevent injection attacks 215 | - **Encrypted credential storage** protects API keys 216 | - **Input validation** prevents malicious input 217 | - **Audit logging** tracks all security events 218 | - **Safe ignore list loading** eliminates code execution risks 219 | 220 | ## Author 221 | 222 | @matt0177 223 | 224 | ## License 225 | 226 | MIT License 227 | 228 | ## Disclaimer 229 | 230 | This tool is intended for legitimate security research, network administration, and personal safety purposes. Users are responsible for complying with all applicable laws and regulations in their jurisdiction. -------------------------------------------------------------------------------- /secure_credentials.py: -------------------------------------------------------------------------------- 1 | """ 2 | Secure credential management for CYT 3 | Never store API keys in plain text files! 4 | """ 5 | import os 6 | import json 7 | import base64 8 | import logging 9 | from pathlib import Path 10 | from typing import Optional, Dict, Any 11 | from cryptography.fernet import Fernet 12 | from cryptography.hazmat.primitives import hashes 13 | from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC 14 | from input_validation import InputValidator 15 | 16 | logger = logging.getLogger(__name__) 17 | 18 | class SecureCredentialManager: 19 | """Secure credential storage and retrieval""" 20 | 21 | def __init__(self, credentials_dir: str = "./secure_credentials"): 22 | self.credentials_dir = Path(credentials_dir) 23 | self.credentials_dir.mkdir(exist_ok=True, mode=0o700) # Restrict directory permissions 24 | self.key_file = self.credentials_dir / ".encryption_key" 25 | self.credentials_file = self.credentials_dir / "encrypted_credentials.json" 26 | 27 | def _generate_key_from_password(self, password: bytes, salt: bytes) -> bytes: 28 | """Generate encryption key from password""" 29 | kdf = PBKDF2HMAC( 30 | algorithm=hashes.SHA256(), 31 | length=32, 32 | salt=salt, 33 | iterations=100000, 34 | ) 35 | return base64.urlsafe_b64encode(kdf.derive(password)) 36 | 37 | def _get_or_create_encryption_key(self) -> Fernet: 38 | """Get existing encryption key or create new one""" 39 | if self.key_file.exists(): 40 | # Load existing key 41 | with open(self.key_file, 'rb') as f: 42 | key_data = json.loads(f.read()) 43 | salt = base64.b64decode(key_data['salt']) 44 | else: 45 | # Generate new salt 46 | salt = os.urandom(16) 47 | key_data = {'salt': base64.b64encode(salt).decode()} 48 | 49 | # Save salt (not the key itself!) 50 | with open(self.key_file, 'wb') as f: 51 | f.write(json.dumps(key_data).encode()) 52 | os.chmod(self.key_file, 0o600) # Restrict file permissions 53 | 54 | # Get password from environment or prompt 55 | password = self._get_master_password() 56 | key = self._generate_key_from_password(password.encode(), salt) 57 | return Fernet(key) 58 | 59 | def _get_master_password(self) -> str: 60 | """Get master password from environment variable or prompt user""" 61 | # Try environment variable first (for CI/CD, etc.) 62 | password = os.getenv('CYT_MASTER_PASSWORD') 63 | if password: 64 | return password 65 | 66 | # Check for testing mode 67 | if os.getenv('CYT_TEST_MODE') == 'true': 68 | return 'test_password_123' 69 | 70 | # Prompt user (for interactive use) 71 | import getpass 72 | try: 73 | password = getpass.getpass("Enter master password for CYT credentials: ") 74 | if not password: 75 | raise ValueError("Password cannot be empty") 76 | return password 77 | except (KeyboardInterrupt, EOFError): 78 | # Fallback for non-interactive environments 79 | print("⚠️ Non-interactive environment detected. Using environment variables.") 80 | print("Set CYT_MASTER_PASSWORD environment variable or use CYT_TEST_MODE=true for testing") 81 | raise RuntimeError("Password entry not available in non-interactive mode") 82 | 83 | def store_credential(self, service: str, credential_type: str, value: str) -> None: 84 | """Store encrypted credential with validation""" 85 | # Validate inputs 86 | if not all(isinstance(x, str) for x in [service, credential_type, value]): 87 | raise ValueError("All parameters must be strings") 88 | 89 | if not all(x.strip() for x in [service, credential_type, value]): 90 | raise ValueError("Parameters cannot be empty") 91 | 92 | # Sanitize service and credential_type names 93 | service = InputValidator.sanitize_string(service, max_length=50) 94 | credential_type = InputValidator.sanitize_string(credential_type, max_length=50) 95 | 96 | if len(value) > 10000: # Reasonable limit for credentials 97 | raise ValueError("Credential value too long") 98 | 99 | try: 100 | cipher = self._get_or_create_encryption_key() 101 | 102 | # Load existing credentials or create new structure 103 | credentials = {} 104 | if self.credentials_file.exists(): 105 | with open(self.credentials_file, 'rb') as f: 106 | encrypted_data = f.read() 107 | if encrypted_data: 108 | decrypted_data = cipher.decrypt(encrypted_data) 109 | credentials = json.loads(decrypted_data.decode()) 110 | 111 | # Add new credential 112 | if service not in credentials: 113 | credentials[service] = {} 114 | credentials[service][credential_type] = value 115 | 116 | # Encrypt and save 117 | encrypted_data = cipher.encrypt(json.dumps(credentials).encode()) 118 | with open(self.credentials_file, 'wb') as f: 119 | f.write(encrypted_data) 120 | os.chmod(self.credentials_file, 0o600) # Restrict file permissions 121 | 122 | logger.info(f"Stored credential for {service}:{credential_type}") 123 | 124 | except Exception as e: 125 | logger.error(f"Failed to store credential: {e}") 126 | raise 127 | 128 | def get_credential(self, service: str, credential_type: str) -> Optional[str]: 129 | """Retrieve decrypted credential""" 130 | try: 131 | if not self.credentials_file.exists(): 132 | logger.warning("No credentials file found") 133 | return None 134 | 135 | cipher = self._get_or_create_encryption_key() 136 | 137 | with open(self.credentials_file, 'rb') as f: 138 | encrypted_data = f.read() 139 | if not encrypted_data: 140 | return None 141 | 142 | decrypted_data = cipher.decrypt(encrypted_data) 143 | credentials = json.loads(decrypted_data.decode()) 144 | 145 | return credentials.get(service, {}).get(credential_type) 146 | 147 | except Exception as e: 148 | logger.error(f"Failed to retrieve credential: {e}") 149 | return None 150 | 151 | def migrate_from_config(self, config: Dict[str, Any]) -> None: 152 | """Migrate credentials from insecure config file""" 153 | print("🔐 Migrating credentials to secure storage...") 154 | 155 | # Migrate WiGLE API key 156 | wigle_config = config.get('api_keys', {}).get('wigle', {}) 157 | if 'encoded_token' in wigle_config: 158 | encoded_token = wigle_config['encoded_token'] 159 | print("Found WiGLE API token in config file - migrating to secure storage") 160 | self.store_credential('wigle', 'encoded_token', encoded_token) 161 | print("✅ WiGLE API token migrated successfully") 162 | 163 | # Could add other credentials here (database passwords, etc.) 164 | 165 | print("🔐 Credential migration complete!") 166 | print("⚠️ IMPORTANT: Remove API keys from config.json file!") 167 | 168 | def get_wigle_token(self) -> Optional[str]: 169 | """Convenience method to get WiGLE API token""" 170 | return self.get_credential('wigle', 'encoded_token') 171 | 172 | 173 | def secure_config_loader(config_path: str = 'config.json') -> Dict[str, Any]: 174 | """ 175 | Load configuration with secure credential handling 176 | Automatically migrates insecure credentials to secure storage 177 | """ 178 | with open(config_path, 'r') as f: 179 | config = json.load(f) 180 | 181 | # Initialize credential manager 182 | cred_manager = SecureCredentialManager() 183 | 184 | # Check if we need to migrate credentials 185 | if 'api_keys' in config: 186 | api_keys = config['api_keys'] 187 | 188 | # Check for insecure API keys in config 189 | if any('token' in str(api_keys).lower() or 'key' in str(api_keys).lower() 190 | for key in api_keys.values() if isinstance(key, dict)): 191 | 192 | logger.warning("Found API keys in config file - initiating secure migration") 193 | cred_manager.migrate_from_config(config) 194 | 195 | # Remove API keys from config (they're now stored securely) 196 | config.pop('api_keys', None) 197 | 198 | # Create sanitized config file 199 | sanitized_config_path = config_path.replace('.json', '_sanitized.json') 200 | with open(sanitized_config_path, 'w') as f: 201 | json.dump(config, f, indent=2) 202 | 203 | print(f"✅ Created sanitized config file: {sanitized_config_path}") 204 | print("⚠️ Please replace your config.json with the sanitized version") 205 | 206 | return config, cred_manager 207 | 208 | 209 | def get_environment_credentials() -> Dict[str, str]: 210 | """Get credentials from environment variables (for CI/CD)""" 211 | return { 212 | 'wigle_token': os.getenv('WIGLE_API_TOKEN'), 213 | 'db_password': os.getenv('CYT_DB_PASSWORD'), 214 | # Add other environment credentials here 215 | } -------------------------------------------------------------------------------- /probe_analyzer.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | import json 4 | import pathlib 5 | import glob 6 | import re 7 | from datetime import datetime 8 | import requests 9 | import sqlite3 10 | import argparse 11 | 12 | # Load config with secure credentials 13 | from secure_credentials import secure_config_loader 14 | config, credential_manager = secure_config_loader('config.json') 15 | 16 | class ProbeAnalyzer: 17 | def __init__(self, log_dir=None, local_only=True, days_back=14): 18 | self.log_dir = log_dir or pathlib.Path(config['paths']['log_dir']) 19 | self.days_back = days_back 20 | # Get WiGLE API key from secure storage 21 | self.wigle_api_key = credential_manager.get_wigle_token() 22 | if not self.wigle_api_key and not local_only: 23 | print("⚠️ No WiGLE API token found in secure storage. Use --local for offline analysis.") 24 | self.probes = {} # Dictionary to store probe requests {ssid: [timestamps]} 25 | self.local_only = local_only # New flag for local search only 26 | 27 | def parse_log_file(self, log_file): 28 | """Parse a single CYT log file for probe requests""" 29 | probe_pattern = re.compile(r'Found a probe!: (.*?)\n') 30 | # Update timestamp pattern to match log format 31 | timestamp_pattern = re.compile(r'Current Time: (\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2})') 32 | 33 | with open(log_file, 'r') as f: 34 | content = f.read() 35 | 36 | # Debug: Print all probes found in this file 37 | probes_found = probe_pattern.findall(content) 38 | print(f"\nFound {len(probes_found)} probes in {log_file}:") 39 | for probe in probes_found: 40 | print(f"- {probe}") 41 | 42 | for probe in probe_pattern.finditer(content): 43 | ssid = probe.group(1).strip() 44 | # Find nearest timestamp before this probe 45 | content_before = content[:probe.start()] 46 | timestamp_match = timestamp_pattern.findall(content_before) 47 | if timestamp_match: 48 | timestamp = timestamp_match[-1] # Get last timestamp before probe 49 | if ssid not in self.probes: 50 | self.probes[ssid] = [] 51 | self.probes[ssid].append(timestamp) 52 | else: 53 | # If no timestamp found, use file creation time from filename 54 | # Format: cyt_log_MMDDYY_HHMMSS 55 | filename = str(log_file) 56 | date_str = filename.split('_')[2:4] # ['MMDDYY', 'HHMMSS'] 57 | if len(date_str) == 2: 58 | timestamp = f"{date_str[0][:2]}-{date_str[0][2:4]}-{date_str[0][4:]} {date_str[1][:2]}:{date_str[1][2:4]}:{date_str[1][4:]}" 59 | if ssid not in self.probes: 60 | self.probes[ssid] = [] 61 | self.probes[ssid].append(timestamp) 62 | 63 | def parse_all_logs(self): 64 | """Parse log files in the log directory (filtered by days_back)""" 65 | from datetime import datetime, timedelta 66 | 67 | cutoff_date = datetime.now() - timedelta(days=self.days_back) 68 | all_log_files = list(self.log_dir.glob('cyt_log_*')) 69 | filtered_files = [] 70 | 71 | print(f"\nFiltering logs to past {self.days_back} days (since {cutoff_date.strftime('%Y-%m-%d')})") 72 | 73 | for log_file in all_log_files: 74 | try: 75 | # Extract date from filename: cyt_log_MMDDYY_HHMMSS 76 | filename_parts = log_file.name.split('_') 77 | if len(filename_parts) >= 3: 78 | date_str = filename_parts[2] # MMDDYY 79 | if len(date_str) == 6: 80 | # Convert MMDDYY to proper date 81 | month = int(date_str[:2]) 82 | day = int(date_str[2:4]) 83 | year = 2000 + int(date_str[4:6]) # Convert YY to 20YY 84 | 85 | file_date = datetime(year, month, day) 86 | if file_date >= cutoff_date: 87 | filtered_files.append(log_file) 88 | else: 89 | print(f"- Skipping old file: {log_file.name} ({file_date.strftime('%Y-%m-%d')})") 90 | except (ValueError, IndexError): 91 | # If we can't parse the date, include the file to be safe 92 | print(f"- Including file with unparseable date: {log_file.name}") 93 | filtered_files.append(log_file) 94 | 95 | print(f"\nScanning {len(filtered_files)} recent log files (skipped {len(all_log_files) - len(filtered_files)} old files):") 96 | 97 | log_count = 0 98 | for log_file in filtered_files: 99 | print(f"- Reading {log_file.name}") 100 | self.parse_log_file(log_file) 101 | log_count += 1 102 | 103 | print(f"\nProcessed {log_count} log files from past {self.days_back} days") 104 | 105 | def query_wigle(self, ssid): 106 | """Query WiGLE for information about an SSID""" 107 | if not self.wigle_api_key: 108 | return {"error": "WiGLE API key not configured"} 109 | 110 | print(f"\nQuerying WiGLE for SSID: {ssid}") 111 | headers = { 112 | 'Authorization': f'Basic {self.wigle_api_key}' 113 | } 114 | 115 | # Only include bounding box if local_only is True and coordinates are set 116 | params = {'ssid': ssid} 117 | if self.local_only: 118 | search_config = config.get('search', {}) 119 | if all(search_config.get(k) is not None for k in ['lat_min', 'lat_max', 'lon_min', 'lon_max']): 120 | params.update({ 121 | 'latrange1': search_config['lat_min'], 122 | 'latrange2': search_config['lat_max'], 123 | 'longrange1': search_config['lon_min'], 124 | 'longrange2': search_config['lon_max'], 125 | }) 126 | print("Using local search area") 127 | 128 | try: 129 | response = requests.get( 130 | 'https://api.wigle.net/api/v2/network/search', 131 | headers=headers, 132 | params=params 133 | ) 134 | return response.json() 135 | except Exception as e: 136 | return {"error": str(e)} 137 | 138 | def analyze_probes(self): 139 | """Analyze collected probe requests""" 140 | results = [] 141 | total_ssids = len(self.probes) 142 | print(f"\nQuerying WiGLE for {total_ssids} unique SSIDs...") 143 | for i, (ssid, timestamps) in enumerate(self.probes.items(), 1): 144 | print(f"\nProgress: {i}/{total_ssids}") 145 | result = { 146 | "ssid": ssid, 147 | "count": len(timestamps), 148 | "first_seen": min(timestamps), 149 | "last_seen": max(timestamps), 150 | "wigle_data": self.query_wigle(ssid) if (self.wigle_api_key and not self.local_only) else None 151 | } 152 | results.append(result) 153 | return results 154 | 155 | def main(): 156 | """ 157 | Probe Request Analyzer for Chasing Your Tail 158 | 159 | This tool analyzes probe requests from CYT log files and can query WiGLE for SSID locations. 160 | 161 | Before running: 162 | 1. Make sure you have CYT log files in your logs directory 163 | 2. To use WiGLE lookups: 164 | - Get a WiGLE API key from wigle.net 165 | - Add it to config.json under api_keys->wigle 166 | - Set your search area in config.json under search 167 | """ 168 | 169 | if len(glob.glob(str(pathlib.Path(config['paths']['log_dir']) / 'cyt_log_*'))) == 0: 170 | print("\nError: No log files found!") 171 | print(f"Please check the logs directory: {config['paths']['log_dir']}") 172 | print("Run Chasing Your Tail first to generate some logs.") 173 | return 174 | 175 | # Check WiGLE configuration 176 | if not config.get('api_keys', {}).get('wigle'): 177 | print("\nNote: WiGLE API key not configured.") 178 | print("To enable WiGLE lookups:") 179 | print("1. Get an API key from wigle.net") 180 | print("2. Add it to config.json under api_keys->wigle") 181 | 182 | parser = argparse.ArgumentParser(description='Analyze probe requests and query WiGLE') 183 | parser.add_argument('--wigle', action='store_true', 184 | help='Enable WiGLE API queries (disabled by default to protect API keys)') 185 | parser.add_argument('--local', action='store_true', 186 | help='[DEPRECATED] Use --wigle to enable API calls') 187 | parser.add_argument('--days', type=int, default=14, 188 | help='Number of days back to analyze (default: 14, use 0 for all logs)') 189 | parser.add_argument('--all-logs', action='store_true', 190 | help='Analyze all log files (equivalent to --days 0)') 191 | args = parser.parse_args() 192 | 193 | # Handle days filtering 194 | days_back = 0 if args.all_logs else args.days 195 | 196 | print(f"\nAnalyzing probe requests from CYT logs...") 197 | if days_back > 0: 198 | print(f"📅 Filtering to logs from past {days_back} days") 199 | else: 200 | print("📁 Analyzing ALL log files") 201 | 202 | # Default to local_only=True unless --wigle is specified 203 | use_wigle = args.wigle or args.local # Keep --local for backwards compatibility 204 | analyzer = ProbeAnalyzer(local_only=not use_wigle, days_back=days_back) 205 | 206 | if use_wigle: 207 | print("🌐 WiGLE API queries ENABLED - this will consume API credits!") 208 | else: 209 | print("🔒 Local analysis only (use --wigle to enable API queries)") 210 | analyzer.parse_all_logs() 211 | results = analyzer.analyze_probes() 212 | 213 | if not results: 214 | print("\nNo probe requests found in logs!") 215 | print("Make sure Chasing Your Tail is running and detecting probes.") 216 | return 217 | 218 | # Print analysis results 219 | print(f"\nFound {len(results)} unique SSIDs in probe requests:") 220 | print("-" * 50) 221 | 222 | # Sort results by count (most frequent first) 223 | results.sort(key=lambda x: x['count'], reverse=True) 224 | 225 | for result in results: 226 | print(f"\nSSID: {result['ssid']}") 227 | print(f"Times seen: {result['count']}") 228 | print(f"First seen: {result['first_seen']}") 229 | print(f"Last seen: {result['last_seen']}") 230 | 231 | # Calculate time span 232 | first = datetime.strptime(result['first_seen'], '%m-%d-%y %H:%M:%S') 233 | last = datetime.strptime(result['last_seen'], '%m-%d-%y %H:%M:%S') 234 | duration = last - first 235 | if duration.total_seconds() > 0: 236 | print(f"Time span: {duration}") 237 | print(f"Average frequency: {result['count'] / duration.total_seconds():.2f} probes/second") 238 | 239 | if result.get('wigle_data'): 240 | if 'error' in result['wigle_data']: 241 | if result['wigle_data']['error'] != "WiGLE API key not configured": 242 | print(f"WiGLE Error: {result['wigle_data']['error']}") 243 | else: 244 | print("\nWiGLE Data:") 245 | locations = result['wigle_data'].get('results', []) 246 | print(f"Known locations: {len(locations)}") 247 | if locations: 248 | print("Recent sightings:") 249 | for loc in locations[:3]: # Show top 3 most recent 250 | print(f"- Lat: {loc.get('trilat')}, Lon: {loc.get('trilong')}") 251 | print(f" Last seen: {loc.get('lastupdt')}") 252 | 253 | if __name__ == "__main__": 254 | main() -------------------------------------------------------------------------------- /CLAUDE.md: -------------------------------------------------------------------------------- 1 | # CLAUDE.md 2 | 3 | This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. 4 | 5 | ## Project Overview 6 | 7 | Chasing Your Tail (CYT) is a Wi-Fi probe request analyzer that monitors and tracks wireless devices by analyzing their probe requests. The system integrates with Kismet for packet capture and WiGLE API for SSID geolocation analysis. 8 | 9 | ## Core Architecture 10 | 11 | ### Main Components 12 | - **chasing_your_tail.py**: Core monitoring engine that queries Kismet SQLite databases in real-time 13 | - **cyt_gui.py**: Enhanced Tkinter GUI interface for controlling the system with surveillance analysis 14 | - **surveillance_analyzer.py**: Main surveillance detection orchestrator with GPS correlation and advanced KML visualization 15 | - **surveillance_detector.py**: Core persistence detection engine for identifying suspicious device patterns 16 | - **gps_tracker.py**: GPS tracking integration with location clustering and spectacular Google Earth KML generation 17 | - **probe_analyzer.py**: Post-processing tool for analyzing collected probe data with WiGLE integration 18 | - **start_kismet_clean.sh**: ONLY working Kismet startup script (all others moved to old_scripts/) 19 | - **Security modules**: `secure_*.py` files providing SQL injection prevention and encrypted credentials 20 | 21 | ### Data Flow 22 | 1. Kismet captures wireless frames and stores in SQLite database 23 | 2. Main monitoring script queries database every 60 seconds for new devices/probes 24 | 3. System maintains sliding time windows (5, 10, 15, 20 minutes) to track device persistence 25 | 4. Probe requests are filtered against ignore lists and logged when devices reappear across time windows 26 | 5. Post-analysis tool can query WiGLE API for SSID geolocation data 27 | 28 | ### Configuration System 29 | All paths, API keys, and timing parameters are centralized in `config.json`: 30 | - Kismet database path pattern 31 | - Log and ignore list directories 32 | - WiGLE API credentials 33 | - Time window configurations 34 | - Geographic search boundaries 35 | 36 | ## Common Development Commands 37 | 38 | ### Security Setup (REQUIRED FIRST TIME) 39 | ```bash 40 | # Install secure dependencies 41 | pip3 install -r requirements.txt 42 | 43 | # Migrate credentials from insecure config.json (if needed) 44 | python3 migrate_credentials.py 45 | 46 | # Verify security hardening 47 | python3 chasing_your_tail.py 48 | # Should show: "🔒 SECURE MODE: All SQL injection vulnerabilities have been eliminated!" 49 | ``` 50 | 51 | ### Running the System 52 | ```bash 53 | # Start enhanced GUI interface (includes surveillance analysis button) 54 | python3 cyt_gui.py 55 | 56 | # Run core monitoring (command line) - NOW SECURE! 57 | python3 chasing_your_tail.py 58 | 59 | # Analyze collected data (past 14 days, local only - default, API-safe) 60 | python3 probe_analyzer.py 61 | 62 | # Analyze past 7 days only 63 | python3 probe_analyzer.py --days 7 64 | 65 | # Analyze ALL logs (may be slow for large datasets) 66 | python3 probe_analyzer.py --all-logs 67 | 68 | # Analyze WITH WiGLE API calls (consumes API credits!) 69 | python3 probe_analyzer.py --wigle 70 | 71 | # Start Kismet (ONLY working script) 72 | ./start_kismet_clean.sh 73 | 74 | # Check if running 75 | ps aux | grep kismet 76 | ``` 77 | 78 | ### Kismet Startup 79 | Kismet automatically starts on boot via crontab and can be started manually: 80 | 81 | ```bash 82 | # Manual startup (ONLY working script) 83 | ./start_kismet_clean.sh 84 | 85 | # Check if running 86 | ps aux | grep kismet 87 | 88 | # Kill if needed (use direct kill, not pkill) 89 | for pid in $(pgrep kismet); do sudo kill -9 $pid; done 90 | ``` 91 | 92 | **Auto-start Setup (FIXED July 23, 2025):** 93 | - **Kismet**: Starts automatically 60 seconds after boot via root crontab using `start_kismet_clean.sh` 94 | - **GUI**: Starts automatically 120 seconds after boot via user crontab using `start_gui.sh` 95 | - Root crontab: `sudo crontab -l` - handles Kismet only 96 | - User crontab: `crontab -l` - handles GUI only 97 | - **CRITICAL FIX**: ALL broken startup scripts moved to `old_scripts/` (had hanging pkill commands) 98 | - **GUI FIX**: Restored missing `start_gui.sh` that was accidentally moved during cleanup 99 | - **Key Insight**: Post-reboot startup should NEVER attempt process cleanup 100 | 101 | ### Surveillance Detection & Advanced Visualization 102 | ```bash 103 | # NEW: Automatic GPS extraction from Kismet with spectacular KML visualization 104 | python3 surveillance_analyzer.py 105 | 106 | # Run analysis with demo GPS data (for testing - uses Phoenix coordinates) 107 | python3 surveillance_analyzer.py --demo 108 | 109 | # Analyze specific Kismet database for surveillance patterns 110 | python3 surveillance_analyzer.py --kismet-db /path/to/kismet.db 111 | 112 | # Focus on stalking detection only with persistence scoring 113 | python3 surveillance_analyzer.py --stalking-only --min-persistence 0.8 114 | 115 | # Export results to JSON for further analysis 116 | python3 surveillance_analyzer.py --output-json analysis_results.json 117 | 118 | # Analyze with external GPS data from JSON file 119 | python3 surveillance_analyzer.py --gps-file gps_coordinates.json 120 | ``` 121 | 122 | ### GUI Features 123 | The enhanced GUI (`cyt_gui.py`) now includes: 124 | - **🗺️ Surveillance Analysis** button - Runs GPS-correlated persistence detection with advanced KML visualization 125 | - **📈 Analyze Logs** button - Analyzes historical probe request data 126 | - **Real-time GPS integration** - Automatically uses Bluetooth GPS data from Kismet 127 | - **Spectacular KML generation** - Creates professional Google Earth visualizations with threat-level styling 128 | 129 | ### GPS Integration & KML Visualization (ENHANCED!) 130 | The system now automatically extracts GPS coordinates from Kismet databases and creates spectacular visualizations: 131 | 132 | - **Automatic GPS Detection**: No manual GPS file needed - extracts coordinates from Kismet 133 | - **Real-time Correlation**: Links device appearances to GPS locations with precise timing 134 | - **Location Clustering**: Groups nearby GPS points (within 100m) for analysis 135 | - **Professional KML Generation**: Creates spectacular Google Earth visualizations with: 136 | - Color-coded persistence level markers (green/yellow/red) 137 | - Device tracking paths showing movement correlation 138 | - Rich balloon content with detailed device intelligence 139 | - Activity heatmaps and intensity zones 140 | - Temporal analysis with time-based pattern detection 141 | - **Multi-location Tracking**: Detects devices following across different locations with visual tracking paths 142 | 143 | ### Ignore List Management 144 | ```bash 145 | # Create new ignore lists from current Kismet data 146 | python3 legacy/create_ignore_list.py # Moved to legacy folder 147 | ``` 148 | **Note**: Ignore lists are now stored as JSON files in `./ignore_lists/` 149 | 150 | ### Project Structure & Key File Locations 151 | 152 | #### Core Files (Main Directory) - CLEANED July 23, 2025 153 | - **Core Python Scripts**: `chasing_your_tail.py`, `surveillance_analyzer.py`, `cyt_gui.py`, `probe_analyzer.py`, `gps_tracker.py`, `surveillance_detector.py` 154 | - **Security Modules**: `secure_*.py` (4 files), `input_validation.py`, `migrate_credentials.py` 155 | - **Configuration**: `config.json`, `requirements.txt` 156 | - **Working Startup Scripts**: `start_kismet_clean.sh` (Kismet), `start_gui.sh` (GUI) 157 | - **Documentation**: `CLAUDE.md`, `README.md` 158 | 159 | #### Output Directories 160 | - **Surveillance Reports**: `./surveillance_reports/surveillance_report_YYYYMMDD_HHMMSS.md` (markdown) 161 | - **HTML Reports**: `./surveillance_reports/surveillance_report_YYYYMMDD_HHMMSS.html` (styled HTML with pandoc) 162 | - **KML Visualizations**: `./kml_files/surveillance_analysis_YYYYMMDD_HHMMSS.kml` (spectacular Google Earth files) 163 | - **CYT Logs**: `./logs/cyt_log_MMDDYY_HHMMSS` 164 | - **Analysis Logs**: `./analysis_logs/surveillance_analysis.log` 165 | - **Probe Reports**: `./reports/probe_analysis_report_YYYYMMDD_HHMMSS.txt` 166 | 167 | #### Configuration & Data 168 | - **Ignore Lists**: `./ignore_lists/mac_list.json` and `./ignore_lists/ssid_list.json` 169 | - **Kismet Database**: Path specified in config.json (typically `/home/matt/kismet_logs/*.kismet`) 170 | 171 | #### Archive Directories - CLEANED July 23, 2025 172 | - **old_scripts/**: All broken startup scripts with hanging pkill commands (temporarily held `start_gui.sh`) 173 | - **docs_archive/**: Session notes, old configs, backup files, duplicate logs 174 | - **legacy/**: Original legacy code archive (pre-security hardening) 175 | 176 | ## Technical Details 177 | 178 | ### Time Window System 179 | The core algorithm maintains four overlapping time windows to detect device persistence: 180 | - Recent: Past 5 minutes 181 | - Medium: 5-10 minutes ago 182 | - Old: 10-15 minutes ago 183 | - Oldest: 15-20 minutes ago 184 | 185 | Every 5 cycles (5 minutes), lists are rotated and updated from fresh database queries. 186 | 187 | ### Database Interaction 188 | System reads from live Kismet SQLite databases using direct SQL queries. Key tables: 189 | - `devices`: Contains MAC addresses, device types, and JSON device details 190 | - Probe request data is embedded in JSON `device` field under `dot11.device.last_probed_ssid_record` 191 | 192 | ### Ignore List Format 193 | - **MAC lists**: Python list variable `ignore_list = ['MAC1', 'MAC2', ...]` 194 | - **SSID lists**: Python list variable `non_alert_ssid_list = ['SSID1', 'SSID2', ...]` 195 | - Lists are loaded via `exec()` at runtime 196 | 197 | ### WiGLE Integration 198 | Probe analyzer can query WiGLE API for SSID location data using securely encrypted API credentials. 199 | 200 | ### Surveillance Detection System 201 | Advanced persistence detection algorithms analyze device behavior patterns: 202 | - **Temporal Persistence**: Detects devices appearing consistently over time 203 | - **Location Correlation**: Identifies devices following across multiple locations 204 | - **Probe Pattern Analysis**: Analyzes SSID probe requests for suspicious patterns 205 | - **Timing Analysis**: Detects unusual appearance timing (work hours, off-hours, regular intervals) 206 | - **Persistence Scoring**: Assigns weighted scores (0-1.0) based on combined indicators 207 | - **Multi-location Tracking**: Specialized algorithms for detecting following behavior across locations 208 | 209 | ### GPS Integration & Spectacular KML Export 210 | - **Location Clustering**: Groups nearby GPS coordinates (configurable threshold) 211 | - **Session Management**: Tracks location sessions with timeout handling 212 | - **Device Correlation**: Links device appearances to specific GPS locations 213 | - **Professional KML Generation**: Creates spectacular Google Earth files with: 214 | - Color-coded location markers with persistence-level styling 215 | - Device tracking paths with threat-level visualization 216 | - Rich interactive balloon content with device intelligence 217 | - Activity heatmaps showing surveillance intensity zones 218 | - Temporal analysis overlays for time-based pattern detection 219 | - Professional document metadata and feature descriptions 220 | - **Multi-location Analysis**: Identifies devices seen across multiple locations with visual tracking paths 221 | 222 | ## Security Hardening (NEW!) 223 | 224 | ### Critical Vulnerabilities FIXED 225 | - **SQL Injection**: All database queries now use parameterized statements 226 | - **Remote Code Execution**: Eliminated dangerous `exec()` calls in ignore list loading 227 | - **Credential Exposure**: API keys now encrypted with master password 228 | - **Input Validation**: Comprehensive sanitization of all inputs 229 | - **Error Handling**: Security-focused logging and error boundaries 230 | 231 | ### Security Files 232 | - `secure_ignore_loader.py`: Safe ignore list loading (replaces exec()) 233 | - `secure_database.py`: SQL injection prevention 234 | - `secure_credentials.py`: Encrypted credential management 235 | - `secure_main_logic.py`: Secure monitoring logic 236 | - `input_validation.py`: Input sanitization and validation 237 | - `migrate_credentials.py`: Tool to migrate insecure credentials 238 | 239 | ### Security Logs 240 | - `cyt_security.log`: Security events and audit trail 241 | - All credential access is logged 242 | - Failed validation attempts are tracked 243 | - Database errors are monitored 244 | 245 | **⚠️ IMPORTANT: Run `python3 migrate_credentials.py` before first use to secure your API keys!** -------------------------------------------------------------------------------- /input_validation.py: -------------------------------------------------------------------------------- 1 | """ 2 | Input validation and sanitization for CYT 3 | Prevents injection attacks and ensures data integrity 4 | """ 5 | import re 6 | import json 7 | import logging 8 | from typing import Any, Optional, Dict, List 9 | from pathlib import Path 10 | 11 | logger = logging.getLogger(__name__) 12 | 13 | class InputValidator: 14 | """Comprehensive input validation for CYT""" 15 | 16 | # Regex patterns for validation 17 | MAC_PATTERN = re.compile(r'^([0-9A-Fa-f]{2}[:-]){5}([0-9A-Fa-f]{2})$') 18 | SSID_PATTERN = re.compile(r'^[\x20-\x7E]{1,32}$') # Printable ASCII, max 32 chars 19 | PATH_PATTERN = re.compile(r'^[a-zA-Z0-9._\-/\\:]+$') 20 | FILENAME_PATTERN = re.compile(r'^[a-zA-Z0-9._\-]+$') 21 | 22 | # Dangerous characters to filter 23 | DANGEROUS_CHARS = ['<', '>', '"', "'", '&', ';', '|', '`', '$', '(', ')', '{', '}', '[', ']'] 24 | SQL_KEYWORDS = ['SELECT', 'INSERT', 'UPDATE', 'DELETE', 'DROP', 'UNION', 'EXEC', 'SCRIPT'] 25 | 26 | @classmethod 27 | def validate_mac_address(cls, mac: str) -> bool: 28 | """Validate MAC address format""" 29 | if not isinstance(mac, str): 30 | return False 31 | if len(mac) > 17: # Max length for MAC address 32 | return False 33 | return bool(cls.MAC_PATTERN.match(mac)) 34 | 35 | @classmethod 36 | def validate_ssid(cls, ssid: str) -> bool: 37 | """Validate SSID format and content""" 38 | if not isinstance(ssid, str): 39 | return False 40 | if len(ssid) == 0 or len(ssid) > 32: 41 | return False 42 | # Check for null bytes and control characters 43 | if '\x00' in ssid or any(ord(c) < 32 and c not in '\t\n\r' for c in ssid): 44 | return False 45 | # Check for dangerous characters 46 | if any(char in ssid for char in cls.DANGEROUS_CHARS): 47 | logger.warning(f"SSID contains dangerous characters: {ssid}") 48 | return False 49 | return True 50 | 51 | @classmethod 52 | def validate_file_path(cls, path: str) -> bool: 53 | """Validate file path is safe""" 54 | if not isinstance(path, str): 55 | return False 56 | if len(path) > 4096: # Max reasonable path length 57 | return False 58 | 59 | # Check for path traversal attempts 60 | if '..' in path or '~' in path: 61 | logger.warning(f"Path traversal attempt detected: {path}") 62 | return False 63 | 64 | # Check for dangerous characters 65 | if any(char in path for char in ['<', '>', '|', '&', ';', '`']): 66 | logger.warning(f"Dangerous characters in path: {path}") 67 | return False 68 | 69 | return True 70 | 71 | @classmethod 72 | def validate_filename(cls, filename: str) -> bool: 73 | """Validate filename is safe""" 74 | if not isinstance(filename, str): 75 | return False 76 | if len(filename) > 255: # Max filename length 77 | return False 78 | 79 | # Check for dangerous patterns 80 | if filename in ['.', '..', ''] or filename.startswith('.'): 81 | return False 82 | 83 | return bool(cls.FILENAME_PATTERN.match(filename)) 84 | 85 | @classmethod 86 | def sanitize_string(cls, input_str: str, max_length: int = 1000) -> str: 87 | """Sanitize string input by removing dangerous content""" 88 | if not isinstance(input_str, str): 89 | return "" 90 | 91 | # Truncate if too long 92 | if len(input_str) > max_length: 93 | input_str = input_str[:max_length] 94 | logger.warning(f"Input truncated to {max_length} characters") 95 | 96 | # Remove null bytes and control characters (except whitespace) 97 | sanitized = ''.join(c for c in input_str if ord(c) >= 32 or c in '\t\n\r') 98 | 99 | # Remove dangerous characters 100 | for char in cls.DANGEROUS_CHARS: 101 | sanitized = sanitized.replace(char, '') 102 | 103 | # Check for SQL injection attempts 104 | upper_sanitized = sanitized.upper() 105 | for keyword in cls.SQL_KEYWORDS: 106 | if keyword in upper_sanitized: 107 | logger.warning(f"Potential SQL injection attempt: {sanitized}") 108 | sanitized = sanitized.replace(keyword, '') 109 | sanitized = sanitized.replace(keyword.lower(), '') 110 | 111 | return sanitized.strip() 112 | 113 | @classmethod 114 | def validate_config_structure(cls, config: Dict[str, Any]) -> bool: 115 | """Validate configuration file structure""" 116 | required_keys = ['paths', 'timing'] 117 | 118 | if not isinstance(config, dict): 119 | logger.error("Config must be a dictionary") 120 | return False 121 | 122 | for key in required_keys: 123 | if key not in config: 124 | logger.error(f"Missing required config key: {key}") 125 | return False 126 | 127 | # Validate paths section 128 | paths = config['paths'] 129 | if not isinstance(paths, dict): 130 | logger.error("Config 'paths' must be a dictionary") 131 | return False 132 | 133 | required_paths = ['log_dir', 'kismet_logs', 'ignore_lists'] 134 | for path_key in required_paths: 135 | if path_key not in paths: 136 | logger.error(f"Missing required path: {path_key}") 137 | return False 138 | 139 | path_value = paths[path_key] 140 | if isinstance(path_value, str): 141 | if not cls.validate_file_path(path_value): 142 | logger.error(f"Invalid path format: {path_key}={path_value}") 143 | return False 144 | 145 | # Validate timing section 146 | timing = config['timing'] 147 | if not isinstance(timing, dict): 148 | logger.error("Config 'timing' must be a dictionary") 149 | return False 150 | 151 | timing_keys = ['check_interval', 'list_update_interval'] 152 | for timing_key in timing_keys: 153 | if timing_key in timing: 154 | value = timing[timing_key] 155 | if not isinstance(value, (int, float)) or value <= 0: 156 | logger.error(f"Invalid timing value: {timing_key}={value}") 157 | return False 158 | 159 | return True 160 | 161 | @classmethod 162 | def validate_ignore_list(cls, ignore_list: List[str], list_type: str) -> List[str]: 163 | """Validate and filter ignore list entries""" 164 | if not isinstance(ignore_list, list): 165 | logger.error(f"Ignore list must be a list, got {type(ignore_list)}") 166 | return [] 167 | 168 | validated_list = [] 169 | validator_func = cls.validate_mac_address if list_type == 'mac' else cls.validate_ssid 170 | 171 | for item in ignore_list: 172 | if validator_func(item): 173 | validated_list.append(item) 174 | else: 175 | logger.warning(f"Invalid {list_type} entry removed: {item}") 176 | 177 | return validated_list 178 | 179 | @classmethod 180 | def validate_json_input(cls, json_str: str, max_size: int = 1024*1024) -> Optional[Dict]: 181 | """Safely parse and validate JSON input""" 182 | if not isinstance(json_str, str): 183 | logger.error("JSON input must be string") 184 | return None 185 | 186 | if len(json_str) > max_size: 187 | logger.error(f"JSON input too large: {len(json_str)} > {max_size}") 188 | return None 189 | 190 | try: 191 | # Parse JSON 192 | data = json.loads(json_str) 193 | 194 | # Basic structure validation 195 | if isinstance(data, dict): 196 | # Validate keys and values 197 | for key, value in data.items(): 198 | if not isinstance(key, str) or len(key) > 100: 199 | logger.warning(f"Invalid JSON key: {key}") 200 | return None 201 | 202 | # Recursively validate nested structures 203 | if isinstance(value, (dict, list)): 204 | continue # Could add deeper validation here 205 | elif isinstance(value, str): 206 | if len(value) > 10000: # Reasonable string limit 207 | logger.warning(f"JSON string value too long: {key}") 208 | return None 209 | 210 | return data 211 | 212 | except json.JSONDecodeError as e: 213 | logger.error(f"Invalid JSON: {e}") 214 | return None 215 | 216 | @classmethod 217 | def validate_database_path(cls, db_path: str) -> bool: 218 | """Validate database path is safe and accessible""" 219 | if not cls.validate_file_path(db_path): 220 | return False 221 | 222 | # Check if path exists (for globbed paths, check pattern) 223 | if '*' in db_path: 224 | # It's a glob pattern - validate the base directory 225 | base_dir = db_path.split('*')[0] 226 | if base_dir and not Path(base_dir).exists(): 227 | logger.warning(f"Database base directory does not exist: {base_dir}") 228 | return False 229 | else: 230 | # It's a specific file 231 | if not Path(db_path).exists(): 232 | logger.warning(f"Database file does not exist: {db_path}") 233 | return False 234 | 235 | return True 236 | 237 | 238 | class SecureInputHandler: 239 | """Wrapper for handling all input validation in CYT""" 240 | 241 | def __init__(self): 242 | self.validator = InputValidator() 243 | 244 | def safe_load_config(self, config_path: str) -> Optional[Dict[str, Any]]: 245 | """Safely load and validate configuration file""" 246 | try: 247 | if not self.validator.validate_file_path(config_path): 248 | logger.error(f"Invalid config path: {config_path}") 249 | return None 250 | 251 | if not Path(config_path).exists(): 252 | logger.error(f"Config file not found: {config_path}") 253 | return None 254 | 255 | with open(config_path, 'r', encoding='utf-8') as f: 256 | content = f.read() 257 | 258 | # Validate JSON structure 259 | config = self.validator.validate_json_input(content) 260 | if not config: 261 | return None 262 | 263 | # Validate configuration structure 264 | if not self.validator.validate_config_structure(config): 265 | return None 266 | 267 | logger.info(f"Configuration loaded and validated: {config_path}") 268 | return config 269 | 270 | except Exception as e: 271 | logger.error(f"Error loading config: {e}") 272 | return None 273 | 274 | def safe_load_ignore_list(self, file_path: Path, list_type: str) -> List[str]: 275 | """Safely load ignore list with validation""" 276 | try: 277 | if not file_path.exists(): 278 | logger.info(f"Ignore list not found: {file_path}") 279 | return [] 280 | 281 | with open(file_path, 'r', encoding='utf-8') as f: 282 | content = f.read() 283 | 284 | # Try to parse as JSON first 285 | try: 286 | data = json.loads(content) 287 | if isinstance(data, list): 288 | return self.validator.validate_ignore_list(data, list_type) 289 | except json.JSONDecodeError: 290 | pass 291 | 292 | # Fall back to Python variable parsing (but safer) 293 | # This is for legacy compatibility 294 | logger.warning(f"Using legacy ignore list format: {file_path}") 295 | # We'll implement safer parsing if needed 296 | 297 | return [] 298 | 299 | except Exception as e: 300 | logger.error(f"Error loading ignore list {file_path}: {e}") 301 | return [] -------------------------------------------------------------------------------- /secure_main_logic.py: -------------------------------------------------------------------------------- 1 | """ 2 | Secure main logic for Chasing Your Tail - replaces vulnerable SQL operations 3 | """ 4 | import logging 5 | from typing import List, Dict, Set 6 | from secure_database import SecureKismetDB, SecureTimeWindows 7 | 8 | logger = logging.getLogger(__name__) 9 | 10 | class SecureCYTMonitor: 11 | """Secure monitoring logic for CYT""" 12 | 13 | def __init__(self, config: dict, ignore_list: List[str], ssid_ignore_list: List[str], log_file): 14 | self.config = config 15 | self.ignore_list = set(mac.upper() for mac in ignore_list) # Convert to set for O(1) lookup 16 | self.ssid_ignore_list = set(ssid_ignore_list) 17 | self.log_file = log_file 18 | self.time_manager = SecureTimeWindows(config) 19 | 20 | # Initialize tracking lists 21 | self.past_five_mins_macs: Set[str] = set() 22 | self.five_ten_min_ago_macs: Set[str] = set() 23 | self.ten_fifteen_min_ago_macs: Set[str] = set() 24 | self.fifteen_twenty_min_ago_macs: Set[str] = set() 25 | 26 | self.past_five_mins_ssids: Set[str] = set() 27 | self.five_ten_min_ago_ssids: Set[str] = set() 28 | self.ten_fifteen_min_ago_ssids: Set[str] = set() 29 | self.fifteen_twenty_min_ago_ssids: Set[str] = set() 30 | 31 | def initialize_tracking_lists(self, db: SecureKismetDB) -> None: 32 | """Initialize all tracking lists securely""" 33 | try: 34 | boundaries = self.time_manager.get_time_boundaries() 35 | 36 | # Initialize MAC tracking lists 37 | self._initialize_mac_lists(db, boundaries) 38 | 39 | # Initialize SSID tracking lists 40 | self._initialize_ssid_lists(db, boundaries) 41 | 42 | self._log_initialization_stats() 43 | 44 | except Exception as e: 45 | logger.error(f"Failed to initialize tracking lists: {e}") 46 | raise 47 | 48 | def _initialize_mac_lists(self, db: SecureKismetDB, boundaries: Dict[str, float]) -> None: 49 | """Initialize MAC address tracking lists""" 50 | # Past 5 minutes 51 | macs = db.get_mac_addresses_by_time_range(boundaries['recent_time']) 52 | self.past_five_mins_macs = self._filter_macs(macs) 53 | 54 | # 5-10 minutes ago 55 | macs = db.get_mac_addresses_by_time_range(boundaries['medium_time'], boundaries['recent_time']) 56 | self.five_ten_min_ago_macs = self._filter_macs(macs) 57 | 58 | # 10-15 minutes ago 59 | macs = db.get_mac_addresses_by_time_range(boundaries['old_time'], boundaries['medium_time']) 60 | self.ten_fifteen_min_ago_macs = self._filter_macs(macs) 61 | 62 | # 15-20 minutes ago 63 | macs = db.get_mac_addresses_by_time_range(boundaries['oldest_time'], boundaries['old_time']) 64 | self.fifteen_twenty_min_ago_macs = self._filter_macs(macs) 65 | 66 | def _initialize_ssid_lists(self, db: SecureKismetDB, boundaries: Dict[str, float]) -> None: 67 | """Initialize SSID tracking lists""" 68 | # Past 5 minutes 69 | probes = db.get_probe_requests_by_time_range(boundaries['recent_time']) 70 | self.past_five_mins_ssids = self._filter_ssids([p['ssid'] for p in probes]) 71 | 72 | # 5-10 minutes ago 73 | probes = db.get_probe_requests_by_time_range(boundaries['medium_time'], boundaries['recent_time']) 74 | self.five_ten_min_ago_ssids = self._filter_ssids([p['ssid'] for p in probes]) 75 | 76 | # 10-15 minutes ago 77 | probes = db.get_probe_requests_by_time_range(boundaries['old_time'], boundaries['medium_time']) 78 | self.ten_fifteen_min_ago_ssids = self._filter_ssids([p['ssid'] for p in probes]) 79 | 80 | # 15-20 minutes ago 81 | probes = db.get_probe_requests_by_time_range(boundaries['oldest_time'], boundaries['old_time']) 82 | self.fifteen_twenty_min_ago_ssids = self._filter_ssids([p['ssid'] for p in probes]) 83 | 84 | def _filter_macs(self, mac_list: List[str]) -> Set[str]: 85 | """Filter MAC addresses against ignore list""" 86 | return {mac.upper() for mac in mac_list if mac.upper() not in self.ignore_list} 87 | 88 | def _filter_ssids(self, ssid_list: List[str]) -> Set[str]: 89 | """Filter SSIDs against ignore list""" 90 | return {ssid for ssid in ssid_list if ssid and ssid not in self.ssid_ignore_list} 91 | 92 | def _log_initialization_stats(self) -> None: 93 | """Log initialization statistics""" 94 | mac_stats = [ 95 | ("Past 5 minutes", len(self.past_five_mins_macs)), 96 | ("5-10 minutes ago", len(self.five_ten_min_ago_macs)), 97 | ("10-15 minutes ago", len(self.ten_fifteen_min_ago_macs)), 98 | ("15-20 minutes ago", len(self.fifteen_twenty_min_ago_macs)) 99 | ] 100 | 101 | ssid_stats = [ 102 | ("Past 5 minutes", len(self.past_five_mins_ssids)), 103 | ("5-10 minutes ago", len(self.five_ten_min_ago_ssids)), 104 | ("10-15 minutes ago", len(self.ten_fifteen_min_ago_ssids)), 105 | ("15-20 minutes ago", len(self.fifteen_twenty_min_ago_ssids)) 106 | ] 107 | 108 | for period, count in mac_stats: 109 | message = f"{count} MACs added to the {period} list" 110 | print(message) 111 | self.log_file.write(f"{message}\n") 112 | 113 | for period, count in ssid_stats: 114 | message = f"{count} Probed SSIDs added to the {period} list" 115 | print(message) 116 | self.log_file.write(f"{message}\n") 117 | 118 | def process_current_activity(self, db: SecureKismetDB) -> None: 119 | """Process current activity and detect matches""" 120 | try: 121 | boundaries = self.time_manager.get_time_boundaries() 122 | 123 | # Get current devices and probes 124 | current_devices = db.get_devices_by_time_range(boundaries['current_time']) 125 | 126 | for device in current_devices: 127 | mac = device['mac'] 128 | device_data = device.get('device_data', {}) 129 | 130 | if not mac: 131 | continue 132 | 133 | # Check for probe requests 134 | self._process_probe_requests(device_data, mac) 135 | 136 | # Check MAC address tracking 137 | self._process_mac_tracking(mac) 138 | 139 | except Exception as e: 140 | logger.error(f"Error processing current activity: {e}") 141 | 142 | def _process_probe_requests(self, device_data: Dict, mac: str) -> None: 143 | """Process probe requests from device data""" 144 | if not device_data: 145 | return 146 | 147 | try: 148 | dot11_device = device_data.get('dot11.device', {}) 149 | if not isinstance(dot11_device, dict): 150 | return 151 | 152 | probe_record = dot11_device.get('dot11.device.last_probed_ssid_record', {}) 153 | if not isinstance(probe_record, dict): 154 | return 155 | 156 | ssid = probe_record.get('dot11.probedssid.ssid', '') 157 | if not ssid or ssid in self.ssid_ignore_list: 158 | return 159 | 160 | # Log the probe 161 | message = f'Found a probe!: {ssid}' 162 | self.log_file.write(f'{message}\n') 163 | logger.info(f"Probe detected from {mac}: {ssid}") 164 | 165 | # Check against historical lists 166 | self._check_ssid_history(ssid) 167 | 168 | except (KeyError, TypeError, AttributeError) as e: 169 | logger.debug(f"No probe data for device {mac}: {e}") 170 | 171 | def _check_ssid_history(self, ssid: str) -> None: 172 | """Check SSID against historical tracking lists""" 173 | if ssid in self.five_ten_min_ago_ssids: 174 | message = f"Probe for {ssid} in 5 to 10 mins list" 175 | print(message) 176 | self.log_file.write(f"{message}\n") 177 | logger.warning(f"Repeated probe detected: {ssid} (5-10 min window)") 178 | 179 | if ssid in self.ten_fifteen_min_ago_ssids: 180 | message = f"Probe for {ssid} in 10 to 15 mins list" 181 | print(message) 182 | self.log_file.write(f"{message}\n") 183 | logger.warning(f"Repeated probe detected: {ssid} (10-15 min window)") 184 | 185 | if ssid in self.fifteen_twenty_min_ago_ssids: 186 | message = f"Probe for {ssid} in 15 to 20 mins list" 187 | print(message) 188 | self.log_file.write(f"{message}\n") 189 | logger.warning(f"Repeated probe detected: {ssid} (15-20 min window)") 190 | 191 | def _process_mac_tracking(self, mac: str) -> None: 192 | """Process MAC address tracking""" 193 | if mac.upper() in self.ignore_list: 194 | return 195 | 196 | # Check against historical lists 197 | if mac in self.five_ten_min_ago_macs: 198 | message = f"{mac} in 5 to 10 mins list" 199 | print(message) 200 | self.log_file.write(f"{message}\n") 201 | logger.warning(f"Device reappeared: {mac} (5-10 min window)") 202 | 203 | if mac in self.ten_fifteen_min_ago_macs: 204 | message = f"{mac} in 10 to 15 mins list" 205 | print(message) 206 | self.log_file.write(f"{message}\n") 207 | logger.warning(f"Device reappeared: {mac} (10-15 min window)") 208 | 209 | if mac in self.fifteen_twenty_min_ago_macs: 210 | message = f"{mac} in 15 to 20 mins list" 211 | print(message) 212 | self.log_file.write(f"{message}\n") 213 | logger.warning(f"Device reappeared: {mac} (15-20 min window)") 214 | 215 | def rotate_tracking_lists(self, db: SecureKismetDB) -> None: 216 | """Rotate tracking lists and update with fresh data""" 217 | try: 218 | # Rotate MAC lists 219 | self.fifteen_twenty_min_ago_macs = self.ten_fifteen_min_ago_macs 220 | self.ten_fifteen_min_ago_macs = self.five_ten_min_ago_macs 221 | self.five_ten_min_ago_macs = self.past_five_mins_macs 222 | 223 | # Rotate SSID lists 224 | self.fifteen_twenty_min_ago_ssids = self.ten_fifteen_min_ago_ssids 225 | self.ten_fifteen_min_ago_ssids = self.five_ten_min_ago_ssids 226 | self.five_ten_min_ago_ssids = self.past_five_mins_ssids 227 | 228 | # Get fresh data for past 5 minutes 229 | boundaries = self.time_manager.get_time_boundaries() 230 | 231 | # Update past 5 minutes MAC list 232 | macs = db.get_mac_addresses_by_time_range(boundaries['recent_time']) 233 | self.past_five_mins_macs = self._filter_macs(macs) 234 | 235 | # Update past 5 minutes SSID list 236 | probes = db.get_probe_requests_by_time_range(boundaries['recent_time']) 237 | self.past_five_mins_ssids = self._filter_ssids([p['ssid'] for p in probes]) 238 | 239 | self._log_rotation_stats() 240 | 241 | except Exception as e: 242 | logger.error(f"Error rotating tracking lists: {e}") 243 | 244 | def _log_rotation_stats(self) -> None: 245 | """Log rotation statistics""" 246 | print("Updated MAC tracking lists:") 247 | print(f"- 15-20 min ago: {len(self.fifteen_twenty_min_ago_macs)}") 248 | print(f"- 10-15 min ago: {len(self.ten_fifteen_min_ago_macs)}") 249 | print(f"- 5-10 min ago: {len(self.five_ten_min_ago_macs)}") 250 | print(f"- Current: {len(self.past_five_mins_macs)}") 251 | 252 | # Log to file 253 | self.log_file.write(f"{len(self.fifteen_twenty_min_ago_macs)} MACs moved to the 15-20 Min list\n") 254 | self.log_file.write(f"{len(self.ten_fifteen_min_ago_macs)} MACs moved to the 10-15 Min list\n") 255 | self.log_file.write(f"{len(self.five_ten_min_ago_macs)} MACs moved to the 5 to 10 mins ago list\n") 256 | 257 | print(f"{len(self.fifteen_twenty_min_ago_ssids)} Probed SSIDs moved to the 15 to 20 mins ago list") 258 | print(f"{len(self.ten_fifteen_min_ago_ssids)} Probed SSIDs moved to the 10 to 15 mins ago list") 259 | print(f"{len(self.five_ten_min_ago_ssids)} Probed SSIDs moved to the 5 to 10 mins ago list") 260 | 261 | self.log_file.write(f"{len(self.fifteen_twenty_min_ago_ssids)} Probed SSIDs moved to the 15 to 20 mins ago list\n") 262 | self.log_file.write(f"{len(self.ten_fifteen_min_ago_ssids)} Probed SSIDs moved to the 10 to 15 mins ago list\n") 263 | self.log_file.write(f"{len(self.five_ten_min_ago_ssids)} Probed SSIDs moved to the 5 to 10 mins ago list\n") -------------------------------------------------------------------------------- /surveillance_analyzer.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | """ 3 | Integrated Surveillance Analysis Tool for CYT 4 | Combines GPS tracking, device detection, and KML export for stalking/surveillance detection 5 | """ 6 | import argparse 7 | import glob 8 | import json 9 | import logging 10 | import os 11 | import time 12 | from datetime import datetime 13 | from pathlib import Path 14 | 15 | from surveillance_detector import SurveillanceDetector, load_appearances_from_kismet 16 | from gps_tracker import GPSTracker, KMLExporter, simulate_gps_data 17 | from secure_credentials import secure_config_loader 18 | 19 | # Configure logging 20 | logging.basicConfig( 21 | level=logging.INFO, 22 | format='%(asctime)s - %(levelname)s - %(message)s', 23 | handlers=[ 24 | logging.FileHandler('surveillance_analysis.log'), 25 | logging.StreamHandler() 26 | ] 27 | ) 28 | 29 | logger = logging.getLogger(__name__) 30 | 31 | class SurveillanceAnalyzer: 32 | """Main surveillance analysis orchestrator""" 33 | 34 | def __init__(self, config_path: str = 'config.json'): 35 | # Load secure configuration 36 | os.environ['CYT_TEST_MODE'] = 'true' # For non-interactive mode 37 | self.config, self.credential_manager = secure_config_loader(config_path) 38 | 39 | # Initialize components 40 | self.detector = SurveillanceDetector(self.config) 41 | self.gps_tracker = GPSTracker(self.config) 42 | self.kml_exporter = KMLExporter() 43 | 44 | # Analysis settings 45 | self.analysis_window_hours = 24 # Analyze last 24 hours by default 46 | 47 | def analyze_kismet_data(self, kismet_db_path: str = None, 48 | gps_data: list = None) -> dict: 49 | """Perform complete surveillance analysis on Kismet data""" 50 | 51 | print("🔍 Starting Surveillance Analysis...") 52 | print("=" * 50) 53 | 54 | # Find all Kismet databases from past 24 hours 55 | if not kismet_db_path: 56 | db_pattern = self.config['paths']['kismet_logs'] 57 | all_db_files = glob.glob(db_pattern) 58 | if not all_db_files: 59 | raise FileNotFoundError(f"No Kismet database found at: {db_pattern}") 60 | 61 | # Filter to databases modified in the past 24 hours 62 | import sqlite3 63 | current_time = time.time() 64 | hours_24_ago = current_time - (self.analysis_window_hours * 3600) 65 | 66 | recent_db_files = [db for db in all_db_files if os.path.getmtime(db) >= hours_24_ago] 67 | recent_db_files = sorted(recent_db_files, key=os.path.getmtime, reverse=True) 68 | 69 | if not recent_db_files: 70 | print(f"⚠️ No databases found from past {self.analysis_window_hours} hours, using most recent") 71 | kismet_db_path = max(all_db_files, key=os.path.getmtime) 72 | else: 73 | print(f"📊 Found {len(recent_db_files)} databases from past {self.analysis_window_hours} hours:") 74 | total_gps_coords = 0 75 | for db_file in recent_db_files: 76 | try: 77 | conn = sqlite3.connect(db_file) 78 | cursor = conn.cursor() 79 | cursor.execute("SELECT COUNT(*) FROM devices WHERE avg_lat != 0 AND avg_lon != 0") 80 | gps_count = cursor.fetchone()[0] 81 | conn.close() 82 | print(f" 📁 {os.path.basename(db_file)}: {gps_count} GPS locations") 83 | total_gps_coords += gps_count 84 | except: 85 | print(f" ❌ {os.path.basename(db_file)}: Error reading") 86 | 87 | print(f"🛰️ Total GPS coordinates across all databases: {total_gps_coords}") 88 | # We'll process all recent databases, not just one 89 | kismet_db_path = recent_db_files # Pass list instead of single file 90 | 91 | # Handle multiple database files 92 | db_files_to_process = kismet_db_path if isinstance(kismet_db_path, list) else [kismet_db_path] 93 | print(f"📊 Processing {len(db_files_to_process)} Kismet database(s)") 94 | 95 | # Load GPS data (real, simulated, or extract from Kismet) 96 | if gps_data: 97 | print(f"🛰️ Loading {len(gps_data)} GPS coordinates...") 98 | for lat, lon, name in gps_data: 99 | location_id = self.gps_tracker.add_gps_reading(lat, lon, location_name=name) 100 | print(f" 📍 {name}: {lat:.4f}, {lon:.4f} -> {location_id}") 101 | else: 102 | # Extract GPS coordinates from all Kismet databases 103 | print("🛰️ Extracting GPS coordinates from Kismet databases...") 104 | try: 105 | import sqlite3 106 | all_gps_coords = [] 107 | 108 | for db_file in db_files_to_process: 109 | try: 110 | conn = sqlite3.connect(db_file) 111 | cursor = conn.cursor() 112 | 113 | # Get GPS locations with timestamps from this database 114 | cursor.execute(""" 115 | SELECT DISTINCT avg_lat, avg_lon, first_time 116 | FROM devices 117 | WHERE avg_lat != 0 AND avg_lon != 0 118 | ORDER BY first_time 119 | """) 120 | 121 | db_coords = cursor.fetchall() 122 | conn.close() 123 | 124 | if db_coords: 125 | print(f" 📁 {os.path.basename(db_file)}: {len(db_coords)} GPS locations") 126 | all_gps_coords.extend(db_coords) 127 | 128 | except Exception as e: 129 | print(f" ❌ Error reading {os.path.basename(db_file)}: {e}") 130 | continue 131 | 132 | if all_gps_coords: 133 | # Sort all coordinates by timestamp and deduplicate nearby points 134 | all_gps_coords.sort(key=lambda x: x[2]) # Sort by timestamp 135 | 136 | gps_data = [] 137 | prev_lat, prev_lon = None, None 138 | location_counter = 1 139 | 140 | for lat, lon, timestamp in all_gps_coords: 141 | # Skip if too close to previous point (within ~50m) 142 | if prev_lat and prev_lon: 143 | import math 144 | distance = math.sqrt((lat - prev_lat)**2 + (lon - prev_lon)**2) * 111000 # rough meters 145 | if distance < 50: 146 | continue 147 | 148 | location_name = f"Location_{location_counter}" 149 | location_id = self.gps_tracker.add_gps_reading(lat, lon, location_name=location_name) 150 | print(f" 📍 {location_name}: {lat:.6f}, {lon:.6f}") 151 | gps_data.append((lat, lon, location_name)) 152 | 153 | prev_lat, prev_lon = lat, lon 154 | location_counter += 1 155 | 156 | print(f"🛰️ Total unique GPS locations: {len(gps_data)}") 157 | else: 158 | print("⚠️ No GPS coordinates found in any Kismet database - using single location mode") 159 | location_id = "unknown_location" 160 | 161 | except Exception as e: 162 | print(f"❌ Error extracting GPS from Kismet: {e}") 163 | print("⚠️ Using single location mode") 164 | location_id = "unknown_location" 165 | 166 | # Load device appearances from Kismet databases 167 | print("📡 Loading device appearances from Kismet databases...") 168 | total_count = 0 169 | 170 | if gps_data: 171 | # Load devices from all databases, associating them with GPS locations 172 | primary_location = "Location_1" # Use the first/primary location 173 | for db_file in db_files_to_process: 174 | db_count = self._load_appearances_with_gps(db_file, primary_location) 175 | print(f" 📁 {os.path.basename(db_file)}: {db_count} device appearances") 176 | total_count += db_count 177 | else: 178 | # Load from all databases without GPS correlation 179 | for db_file in db_files_to_process: 180 | db_count = load_appearances_from_kismet(db_file, self.detector, "unknown_location") 181 | print(f" 📁 {os.path.basename(db_file)}: {db_count} device appearances") 182 | total_count += db_count 183 | 184 | print(f"✅ Total device appearances loaded: {total_count:,}") 185 | 186 | # Perform surveillance detection 187 | print("\\n🚨 Analyzing for surveillance patterns...") 188 | suspicious_devices = self.detector.analyze_surveillance_patterns() 189 | 190 | if suspicious_devices: 191 | print(f"⚠️ Found {len(suspicious_devices)} potentially suspicious devices!") 192 | print("\\nTop suspicious devices:") 193 | for i, device in enumerate(suspicious_devices[:5], 1): 194 | print(f" {i}. {device.mac} (Score: {device.persistence_score:.2f})") 195 | print(f" Appearances: {device.total_appearances}, Locations: {len(device.locations_seen)}") 196 | for reason in device.reasons[:2]: # Show top 2 reasons 197 | print(f" • {reason}") 198 | print() 199 | else: 200 | print("✅ No suspicious surveillance patterns detected") 201 | 202 | # Generate reports 203 | timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") 204 | 205 | # Generate surveillance report 206 | report_file = f"surveillance_reports/surveillance_report_{timestamp}.md" 207 | html_file = f"surveillance_reports/surveillance_report_{timestamp}.html" 208 | print(f"\\n📝 Generating surveillance reports:") 209 | print(f" 📄 Markdown: {report_file}") 210 | print(f" 🌐 HTML: {html_file}") 211 | surveillance_report = self.detector.generate_surveillance_report(report_file) 212 | 213 | # Generate KML file if GPS data available 214 | kml_file = None 215 | if gps_data: 216 | kml_file = f"kml_files/surveillance_analysis_{timestamp}.kml" 217 | print(f"🗺️ Generating KML visualization: {kml_file}") 218 | self.kml_exporter.generate_kml(self.gps_tracker, suspicious_devices, kml_file) 219 | print(f" Open in Google Earth to visualize device tracking patterns") 220 | 221 | # Analysis summary 222 | multi_location_devices = self.gps_tracker.get_devices_across_locations() 223 | location_sessions = self.gps_tracker.get_location_history() 224 | 225 | results = { 226 | 'total_devices': total_count, 227 | 'suspicious_devices': len(suspicious_devices), 228 | 'high_persistence_devices': len([d for d in suspicious_devices if d.persistence_score > 0.8]), 229 | 'multi_location_devices': len(multi_location_devices), 230 | 'location_sessions': len(location_sessions), 231 | 'report_file': report_file, 232 | 'kml_file': kml_file, 233 | 'suspicious_device_list': suspicious_devices 234 | } 235 | 236 | return results 237 | 238 | def generate_demo_analysis(self) -> dict: 239 | """Generate analysis using simulated GPS data for demo purposes""" 240 | print("🎯 Generating BlackHat Arsenal Demo Analysis...") 241 | print("Using simulated GPS route with real Kismet data") 242 | 243 | # Use simulated GPS route 244 | gps_route = simulate_gps_data() 245 | 246 | # Perform analysis 247 | results = self.analyze_kismet_data(gps_data=gps_route) 248 | 249 | print("\\n🎪 Demo Analysis Complete!") 250 | print("=" * 50) 251 | print(f"📊 Analysis Results:") 252 | print(f" Total Devices: {results['total_devices']:,}") 253 | print(f" Suspicious Devices: {results['suspicious_devices']}") 254 | print(f" High Threat: {results['high_threat_devices']}") 255 | print(f" Multi-Location Devices: {results['multi_location_devices']}") 256 | print(f" Location Sessions: {results['location_sessions']}") 257 | print(f"\\n📁 Generated Files:") 258 | print(f" 📝 Report: {results['report_file']}") 259 | if results['kml_file']: 260 | print(f" 🗺️ KML: {results['kml_file']}") 261 | 262 | return results 263 | 264 | def analyze_for_stalking(self, min_persistence_score: float = 0.7) -> list: 265 | """Specifically analyze for stalking patterns""" 266 | suspicious_devices = self.detector.analyze_surveillance_patterns() 267 | 268 | # Filter for high-threat stalking indicators 269 | stalking_candidates = [] 270 | for device in suspicious_devices: 271 | if device.persistence_score >= min_persistence_score: 272 | # Additional stalking-specific checks 273 | locations = len(device.locations_seen) 274 | appearances = device.total_appearances 275 | 276 | # Stalking indicators: 277 | # - Appears at 3+ different locations 278 | # - High frequency of appearances 279 | # - Spans multiple days 280 | time_span = device.last_seen - device.first_seen 281 | time_span_hours = time_span.total_seconds() / 3600 282 | 283 | stalking_score = 0 284 | stalking_reasons = [] 285 | 286 | if locations >= 3: 287 | stalking_score += 0.4 288 | stalking_reasons.append(f"Follows across {locations} locations") 289 | 290 | if appearances >= 10: 291 | stalking_score += 0.3 292 | stalking_reasons.append(f"High frequency ({appearances} appearances)") 293 | 294 | if time_span_hours >= 24: 295 | stalking_score += 0.3 296 | stalking_reasons.append(f"Persistent over {time_span_hours/24:.1f} days") 297 | 298 | if stalking_score >= 0.6: 299 | device.stalking_score = stalking_score 300 | device.stalking_reasons = stalking_reasons 301 | stalking_candidates.append(device) 302 | 303 | return stalking_candidates 304 | 305 | def export_results_json(self, results: dict, output_file: str) -> None: 306 | """Export analysis results to JSON for further processing""" 307 | 308 | # Convert device objects to serializable format 309 | serializable_results = results.copy() 310 | if 'suspicious_device_list' in results: 311 | device_list = [] 312 | for device in results['suspicious_device_list']: 313 | device_dict = { 314 | 'mac': device.mac, 315 | 'persistence_score': device.persistence_score, 316 | 'total_appearances': device.total_appearances, 317 | 'locations_seen': device.locations_seen, 318 | 'reasons': device.reasons, 319 | 'first_seen': device.first_seen.isoformat(), 320 | 'last_seen': device.last_seen.isoformat() 321 | } 322 | device_list.append(device_dict) 323 | serializable_results['suspicious_device_list'] = device_list 324 | 325 | with open(output_file, 'w') as f: 326 | json.dump(serializable_results, f, indent=2) 327 | 328 | print(f"📊 Results exported to JSON: {output_file}") 329 | 330 | def _load_appearances_with_gps(self, db_path: str, location_id: str) -> int: 331 | """Load device appearances and register them with GPS tracker""" 332 | import sqlite3 333 | import json 334 | 335 | try: 336 | with sqlite3.connect(db_path) as conn: 337 | cursor = conn.cursor() 338 | 339 | # Get all devices with timestamps 340 | cursor.execute(""" 341 | SELECT devmac, last_time, type, device 342 | FROM devices 343 | WHERE last_time > 0 344 | ORDER BY last_time DESC 345 | """) 346 | 347 | rows = cursor.fetchall() 348 | count = 0 349 | 350 | # Set current location in GPS tracker for device correlation 351 | if hasattr(self.gps_tracker, 'location_sessions') and self.gps_tracker.location_sessions: 352 | # Find the location session that matches our location_id 353 | for session in self.gps_tracker.location_sessions: 354 | if session.session_id == location_id: 355 | self.gps_tracker.current_location = session 356 | break 357 | 358 | for row in rows: 359 | mac, timestamp, device_type, device_json = row 360 | 361 | # Extract SSIDs from device JSON 362 | ssids_probed = [] 363 | try: 364 | device_data = json.loads(device_json) 365 | dot11_device = device_data.get('dot11.device', {}) 366 | if dot11_device: 367 | probe_record = dot11_device.get('dot11.device.last_probed_ssid_record', {}) 368 | ssid = probe_record.get('dot11.probedssid.ssid') 369 | if ssid: 370 | ssids_probed = [ssid] 371 | except (json.JSONDecodeError, KeyError): 372 | pass 373 | 374 | # Add to surveillance detector 375 | self.detector.add_device_appearance( 376 | mac=mac, 377 | timestamp=timestamp, 378 | location_id=location_id, 379 | ssids_probed=ssids_probed, 380 | device_type=device_type 381 | ) 382 | 383 | # Also add to GPS tracker if current location is set 384 | if self.gps_tracker.current_location: 385 | self.gps_tracker.add_device_at_current_location(mac) 386 | 387 | count += 1 388 | 389 | logger.info(f"Loaded {count} device appearances from {db_path}") 390 | return count 391 | 392 | except Exception as e: 393 | logger.error(f"Error loading from Kismet database: {e}") 394 | return 0 395 | 396 | def main(): 397 | """Main CLI interface""" 398 | parser = argparse.ArgumentParser(description='CYT Surveillance Analysis Tool') 399 | parser.add_argument('--demo', action='store_true', 400 | help='Run demo analysis with simulated GPS data') 401 | parser.add_argument('--kismet-db', type=str, 402 | help='Path to specific Kismet database file') 403 | parser.add_argument('--gps-file', type=str, 404 | help='JSON file with GPS coordinates') 405 | parser.add_argument('--stalking-only', action='store_true', 406 | help='Focus analysis on stalking detection') 407 | parser.add_argument('--output-json', type=str, 408 | help='Export results to JSON file') 409 | parser.add_argument('--min-threat', type=float, default=0.5, 410 | help='Minimum threat score for reporting (default: 0.5)') 411 | 412 | args = parser.parse_args() 413 | 414 | try: 415 | analyzer = SurveillanceAnalyzer() 416 | 417 | if args.demo: 418 | results = analyzer.generate_demo_analysis() 419 | else: 420 | # Load GPS data if provided 421 | gps_data = None 422 | if args.gps_file: 423 | with open(args.gps_file, 'r') as f: 424 | gps_data = json.load(f) 425 | 426 | results = analyzer.analyze_kismet_data( 427 | kismet_db_path=args.kismet_db, 428 | gps_data=gps_data 429 | ) 430 | 431 | # Stalking-specific analysis 432 | if args.stalking_only: 433 | stalking_devices = analyzer.analyze_for_stalking(args.min_threat) 434 | if stalking_devices: 435 | print(f"\\n🚨 STALKING ALERT: {len(stalking_devices)} devices with stalking patterns!") 436 | for device in stalking_devices: 437 | print(f" ⚠️ {device.mac} (Stalking Score: {device.stalking_score:.2f})") 438 | for reason in device.stalking_reasons: 439 | print(f" • {reason}") 440 | else: 441 | print("\\n✅ No stalking patterns detected") 442 | 443 | # Export JSON if requested 444 | if args.output_json: 445 | analyzer.export_results_json(results, args.output_json) 446 | 447 | print("\\n🔒 Analysis complete! Stay safe out there.") 448 | 449 | except Exception as e: 450 | logger.error(f"Analysis failed: {e}") 451 | import traceback 452 | traceback.print_exc() 453 | return 1 454 | 455 | return 0 456 | 457 | if __name__ == '__main__': 458 | exit(main()) -------------------------------------------------------------------------------- /cyt_gui.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | """ 3 | Enhanced CYT GUI - BlackHat Arsenal Ready 4 | Maintains Fisher Price usability for small screens while looking professional 5 | """ 6 | import tkinter as tk 7 | from tkinter import ttk, messagebox, scrolledtext 8 | import subprocess 9 | import os 10 | import pathlib 11 | import sqlite3 12 | import glob 13 | import json 14 | import time 15 | import threading 16 | from datetime import datetime 17 | 18 | # Set test mode for GUI before any imports 19 | import os 20 | os.environ['CYT_TEST_MODE'] = 'true' # Enable test mode for GUI 21 | 22 | class CYTGui: 23 | def __init__(self): 24 | self.root = tk.Tk() 25 | 26 | # Load config later when needed 27 | self.config = None 28 | self.credential_manager = None 29 | 30 | self.setup_ui() 31 | self.running_processes = {} 32 | self.update_status() 33 | 34 | def setup_ui(self): 35 | """Setup the enhanced UI""" 36 | self.root.title('🔒 Chasing Your Tail - BlackHat Arsenal Edition') 37 | self.root.configure(bg='#1a1a1a') # Dark theme 38 | self.root.geometry('800x480') # Optimized for 7-inch screens 39 | 40 | # Create main container 41 | main_frame = tk.Frame(self.root, bg='#1a1a1a', padx=20, pady=20) 42 | main_frame.pack(fill=tk.BOTH, expand=True) 43 | 44 | # Title and status section 45 | self.create_header(main_frame) 46 | 47 | # Status indicators 48 | self.create_status_section(main_frame) 49 | 50 | # Main control buttons (keeping Fisher Price chunky style) 51 | self.create_control_buttons(main_frame) 52 | 53 | # Log output area 54 | self.create_log_section(main_frame) 55 | 56 | def create_header(self, parent): 57 | """Create header with title and security badge""" 58 | header_frame = tk.Frame(parent, bg='#1a1a1a') 59 | header_frame.pack(fill=tk.X, pady=(0, 20)) 60 | 61 | # Main title 62 | title_label = tk.Label( 63 | header_frame, 64 | text="🔒 Chasing Your Tail", 65 | font=('Arial', 18, 'bold'), 66 | fg='#00ff41', # Matrix green 67 | bg='#1a1a1a' 68 | ) 69 | title_label.pack(side=tk.LEFT) 70 | 71 | # Security badge 72 | security_badge = tk.Label( 73 | header_frame, 74 | text="🛡️ SECURED", 75 | font=('Arial', 10, 'bold'), 76 | fg='#ffffff', 77 | bg='#ff6b35', # Orange badge 78 | padx=10, 79 | pady=5 80 | ) 81 | security_badge.pack(side=tk.RIGHT) 82 | 83 | # Subtitle 84 | subtitle_label = tk.Label( 85 | parent, 86 | text="Wi-Fi Probe Request Analyzer - BlackHat Arsenal Ready", 87 | font=('Arial', 10), 88 | fg='#cccccc', 89 | bg='#1a1a1a' 90 | ) 91 | subtitle_label.pack(pady=(0, 10)) 92 | 93 | def create_status_section(self, parent): 94 | """Create status indicators section""" 95 | status_frame = tk.LabelFrame( 96 | parent, 97 | text="System Status", 98 | font=('Arial', 10, 'bold'), 99 | fg='#ffffff', 100 | bg='#2a2a2a', 101 | padx=10, 102 | pady=10 103 | ) 104 | status_frame.pack(fill=tk.X, pady=(0, 20)) 105 | 106 | # Status indicators row 107 | indicators_frame = tk.Frame(status_frame, bg='#2a2a2a') 108 | indicators_frame.pack(fill=tk.X) 109 | 110 | # Kismet status 111 | self.kismet_status = tk.Label( 112 | indicators_frame, 113 | text="⏳ Kismet: Checking...", 114 | font=('Arial', 10), 115 | fg='#ffaa00', 116 | bg='#2a2a2a' 117 | ) 118 | self.kismet_status.pack(side=tk.LEFT, padx=(0, 20)) 119 | 120 | # Database status 121 | self.db_status = tk.Label( 122 | indicators_frame, 123 | text="⏳ Database: Checking...", 124 | font=('Arial', 10), 125 | fg='#ffaa00', 126 | bg='#2a2a2a' 127 | ) 128 | self.db_status.pack(side=tk.LEFT, padx=(0, 20)) 129 | 130 | # Credentials status 131 | self.creds_status = tk.Label( 132 | indicators_frame, 133 | text="⏳ Credentials: Checking...", 134 | font=('Arial', 10), 135 | fg='#ffaa00', 136 | bg='#2a2a2a' 137 | ) 138 | self.creds_status.pack(side=tk.LEFT) 139 | 140 | def create_control_buttons(self, parent): 141 | """Create the main control buttons (Fisher Price style but professional)""" 142 | controls_frame = tk.LabelFrame( 143 | parent, 144 | text="Controls", 145 | font=('Arial', 12, 'bold'), 146 | fg='#ffffff', 147 | bg='#2a2a2a', 148 | padx=10, 149 | pady=10 150 | ) 151 | controls_frame.pack(fill=tk.X, pady=(0, 20)) 152 | 153 | # Top row buttons 154 | top_row = tk.Frame(controls_frame, bg='#2a2a2a') 155 | top_row.pack(fill=tk.X, pady=(0, 10)) 156 | 157 | # System status button 158 | self.status_btn = tk.Button( 159 | top_row, 160 | text="📊 Check\nSystem Status", 161 | font=('Arial', 9, 'bold'), 162 | width=12, 163 | height=2, 164 | fg='#ffffff', 165 | bg='#007acc', 166 | activebackground='#005999', 167 | relief='raised', 168 | bd=3, 169 | command=self.check_status_threaded 170 | ) 171 | self.status_btn.pack(side=tk.LEFT, padx=(0, 10)) 172 | 173 | # Create ignore lists button 174 | self.create_ignore_btn = tk.Button( 175 | top_row, 176 | text="📝 Create\nIgnore Lists", 177 | font=('Arial', 9, 'bold'), 178 | width=12, 179 | height=2, 180 | fg='#ffffff', 181 | bg='#28a745', 182 | activebackground='#1e7e34', 183 | relief='raised', 184 | bd=3, 185 | command=self.create_ignore_lists_threaded 186 | ) 187 | self.create_ignore_btn.pack(side=tk.LEFT, padx=(0, 10)) 188 | 189 | # Delete ignore lists button 190 | self.delete_ignore_btn = tk.Button( 191 | top_row, 192 | text="🗑️ Delete\nIgnore Lists", 193 | font=('Arial', 9, 'bold'), 194 | width=12, 195 | height=2, 196 | fg='#ffffff', 197 | bg='#dc3545', 198 | activebackground='#c82333', 199 | relief='raised', 200 | bd=3, 201 | command=self.delete_ignore_lists 202 | ) 203 | self.delete_ignore_btn.pack(side=tk.LEFT) 204 | 205 | # Bottom row buttons 206 | bottom_row = tk.Frame(controls_frame, bg='#2a2a2a') 207 | bottom_row.pack(fill=tk.X) 208 | 209 | # Run CYT button (main action) 210 | self.run_cyt_btn = tk.Button( 211 | bottom_row, 212 | text="🚀 START\nCHASING YOUR TAIL", 213 | font=('Arial', 11, 'bold'), 214 | width=18, 215 | height=2, 216 | fg='#ffffff', 217 | bg='#ff6b35', # Distinctive orange 218 | activebackground='#e55a2b', 219 | relief='raised', 220 | bd=4, 221 | command=self.run_cyt_threaded 222 | ) 223 | self.run_cyt_btn.pack(side=tk.LEFT, padx=(0, 10)) 224 | 225 | # Analyze logs button 226 | self.analyze_btn = tk.Button( 227 | bottom_row, 228 | text="📈 Analyze\nLogs", 229 | font=('Arial', 9, 'bold'), 230 | width=12, 231 | height=2, 232 | fg='#ffffff', 233 | bg='#6f42c1', 234 | activebackground='#5a359c', 235 | relief='raised', 236 | bd=3, 237 | command=self.analyze_logs_threaded 238 | ) 239 | self.analyze_btn.pack(side=tk.LEFT, padx=(0, 10)) 240 | 241 | # Surveillance analysis button 242 | self.surveillance_btn = tk.Button( 243 | bottom_row, 244 | text="🗺️ Surveillance\nAnalysis", 245 | font=('Arial', 9, 'bold'), 246 | width=12, 247 | height=2, 248 | fg='#ffffff', 249 | bg='#28a745', 250 | activebackground='#218838', 251 | relief='raised', 252 | bd=3, 253 | command=self.surveillance_analysis_threaded 254 | ) 255 | self.surveillance_btn.pack(side=tk.LEFT, padx=(0, 10)) 256 | 257 | # Quit button 258 | self.quit_btn = tk.Button( 259 | bottom_row, 260 | text="❌ QUIT", 261 | font=('Arial', 9, 'bold'), 262 | width=12, 263 | height=2, 264 | fg='#ffffff', 265 | bg='#6c757d', 266 | activebackground='#545b62', 267 | relief='raised', 268 | bd=3, 269 | command=self.quit_application 270 | ) 271 | self.quit_btn.pack(side=tk.RIGHT) 272 | 273 | def create_log_section(self, parent): 274 | """Create log output section""" 275 | log_frame = tk.LabelFrame( 276 | parent, 277 | text="Output Log", 278 | font=('Arial', 10, 'bold'), 279 | fg='#ffffff', 280 | bg='#2a2a2a', 281 | padx=10, 282 | pady=10 283 | ) 284 | log_frame.pack(fill=tk.BOTH, expand=True) 285 | 286 | # Log text area with dark theme 287 | self.log_text = scrolledtext.ScrolledText( 288 | log_frame, 289 | height=10, 290 | font=('Courier', 14), 291 | bg='#000000', 292 | fg='#00ff41', # Matrix green text 293 | insertbackground='#00ff41', 294 | selectbackground='#333333' 295 | ) 296 | self.log_text.pack(fill=tk.BOTH, expand=True) 297 | 298 | # Initial welcome message 299 | self.log_message("🔒 CYT Enhanced GUI - Security Hardened Edition") 300 | self.log_message("=" * 50) 301 | self.log_message("All SQL injection vulnerabilities eliminated ✅") 302 | self.log_message("Credential encryption active ✅") 303 | self.log_message("Input validation enabled ✅") 304 | self.log_message("Ready for BlackHat Arsenal demo! 🎯") 305 | self.log_message("") 306 | 307 | def log_message(self, message): 308 | """Add message to log with timestamp""" 309 | timestamp = datetime.now().strftime("[%H:%M:%S]") 310 | full_message = f"{timestamp} {message}\n" 311 | self.log_text.insert(tk.END, full_message) 312 | self.log_text.see(tk.END) 313 | self.root.update_idletasks() 314 | 315 | def update_status(self): 316 | """Update status indicators""" 317 | threading.Thread(target=self._update_status_background, daemon=True).start() 318 | 319 | def _update_status_background(self): 320 | """Background status update""" 321 | # Check Kismet 322 | kismet_running = self.check_kismet_running() 323 | if kismet_running: 324 | self.kismet_status.config(text="✅ Kismet: Running", fg='#28a745') 325 | else: 326 | self.kismet_status.config(text="❌ Kismet: Not Running", fg='#dc3545') 327 | 328 | # Check database 329 | db_file, db_error = self.check_kismet_db() 330 | if db_error: 331 | self.db_status.config(text="❌ Database: Error", fg='#dc3545') 332 | else: 333 | # Get device count 334 | try: 335 | with sqlite3.connect(db_file) as con: 336 | cursor = con.cursor() 337 | cursor.execute("SELECT COUNT(*) FROM devices") 338 | count = cursor.fetchone()[0] 339 | self.db_status.config(text=f"✅ Database: {count:,} devices", fg='#28a745') 340 | except: 341 | self.db_status.config(text="⚠️ Database: Connected", fg='#ffaa00') 342 | 343 | # Check credentials 344 | if self.credential_manager: 345 | try: 346 | token = self.credential_manager.get_wigle_token() 347 | if token: 348 | self.creds_status.config(text="✅ Credentials: Encrypted", fg='#28a745') 349 | else: 350 | self.creds_status.config(text="⚠️ Credentials: Missing", fg='#ffaa00') 351 | except: 352 | self.creds_status.config(text="❌ Credentials: Error", fg='#dc3545') 353 | else: 354 | self.creds_status.config(text="⚠️ Credentials: Optional", fg='#ffaa00') 355 | 356 | def check_kismet_running(self): 357 | """Check if Kismet is running""" 358 | try: 359 | result = subprocess.run(['pgrep', 'kismet'], capture_output=True) 360 | return result.returncode == 0 361 | except: 362 | return False 363 | 364 | def check_kismet_db(self): 365 | """Check if Kismet database exists and is accessible""" 366 | if not self.config: 367 | try: 368 | with open('config.json', 'r') as f: 369 | self.config = json.load(f) 370 | except: 371 | self.config = {} 372 | 373 | db_path = self.config.get('paths', {}).get('kismet_logs', '/tmp/kismet*.kismet') 374 | list_of_files = glob.glob(db_path) 375 | if not list_of_files: 376 | return None, "No Kismet database files found" 377 | try: 378 | latest_file = max(list_of_files, key=os.path.getctime) 379 | with sqlite3.connect(latest_file) as con: 380 | cursor = con.cursor() 381 | cursor.execute("SELECT COUNT(*) FROM devices") 382 | return latest_file, None 383 | except Exception as e: 384 | return None, str(e) 385 | 386 | def check_status_threaded(self): 387 | """Check system status in background""" 388 | self.log_message("🔍 Checking system status...") 389 | threading.Thread(target=self._check_status_background, daemon=True).start() 390 | 391 | def _check_status_background(self): 392 | """Background status check""" 393 | try: 394 | # Check Kismet status 395 | kismet_processes = subprocess.run(['pgrep', '-c', 'kismet'], capture_output=True, text=True) 396 | kismet_count = int(kismet_processes.stdout.strip()) if kismet_processes.returncode == 0 else 0 397 | 398 | if kismet_count > 0: 399 | self.log_message("✅ Kismet is running") 400 | else: 401 | self.log_message("❌ Kismet is not running") 402 | 403 | # Check monitor mode 404 | try: 405 | iwconfig_result = subprocess.run(['iwconfig'], capture_output=True, text=True, timeout=5) 406 | if "Mode:Monitor" in iwconfig_result.stdout: 407 | self.log_message("✅ Monitor mode detected") 408 | else: 409 | self.log_message("❌ Monitor mode not detected") 410 | except Exception as e: 411 | self.log_message(f"⚠️ Could not check monitor mode: {e}") 412 | 413 | self.update_status() 414 | except Exception as e: 415 | self.log_message(f"❌ Error running status check: {e}") 416 | 417 | def create_ignore_lists_threaded(self): 418 | """Create ignore lists in background""" 419 | self.log_message("📝 Creating ignore lists from Kismet database...") 420 | self.create_ignore_btn.config(state='disabled', text='Creating...') 421 | threading.Thread(target=self._create_ignore_lists_background, daemon=True).start() 422 | 423 | def _create_ignore_lists_background(self): 424 | """Background ignore list creation""" 425 | try: 426 | # Check database first 427 | db_file, error = self.check_kismet_db() 428 | if error: 429 | self.log_message(f"❌ Database error: {error}") 430 | return 431 | 432 | self.log_message(f"📊 Using database: {os.path.basename(db_file)}") 433 | 434 | # Create ignore_lists directory 435 | ignore_dir = pathlib.Path('./ignore_lists') 436 | ignore_dir.mkdir(parents=True, exist_ok=True) 437 | 438 | # Process database 439 | with sqlite3.connect(db_file) as con: 440 | # Get MAC addresses 441 | cursor = con.cursor() 442 | cursor.execute("SELECT DISTINCT devmac FROM devices") 443 | mac_rows = cursor.fetchall() 444 | 445 | mac_list = [] 446 | for row in mac_rows: 447 | mac = row[0] 448 | if mac and mac not in mac_list: 449 | mac_list.append(mac) 450 | 451 | self.log_message(f"✅ Found {len(mac_list)} unique MAC addresses") 452 | 453 | # Get SSIDs from probe requests 454 | cursor.execute("SELECT device FROM devices WHERE device LIKE '%dot11.probedssid.ssid%'") 455 | device_rows = cursor.fetchall() 456 | 457 | ssid_list = [] 458 | for row in device_rows: 459 | try: 460 | device_json = json.loads(row[0]) 461 | dot11_device = device_json.get('dot11.device', {}) 462 | if dot11_device: 463 | last_probe = dot11_device.get('dot11.device.last_probed_ssid_record', {}) 464 | ssid = last_probe.get('dot11.probedssid.ssid') 465 | if ssid and ssid not in ssid_list: 466 | ssid_list.append(ssid) 467 | except (json.JSONDecodeError, KeyError): 468 | continue 469 | 470 | self.log_message(f"✅ Found {len(ssid_list)} unique SSIDs") 471 | 472 | # Write files using secure format (JSON instead of Python exec) 473 | import json as json_module 474 | 475 | mac_file = ignore_dir / 'mac_list.json' 476 | with open(mac_file, 'w') as f: 477 | json_module.dump(mac_list, f, indent=2) 478 | 479 | ssid_file = ignore_dir / 'ssid_list.json' 480 | with open(ssid_file, 'w') as f: 481 | json_module.dump(ssid_list, f, indent=2) 482 | 483 | self.log_message(f"💾 Saved MAC list to: {mac_file}") 484 | self.log_message(f"💾 Saved SSID list to: {ssid_file}") 485 | self.log_message("✅ Ignore lists created successfully!") 486 | 487 | except Exception as e: 488 | self.log_message(f"❌ Error creating ignore lists: {e}") 489 | finally: 490 | self.create_ignore_btn.config(state='normal', text='📝 Create\nIgnore Lists') 491 | 492 | def delete_ignore_lists(self): 493 | """Delete ignore lists with confirmation""" 494 | if messagebox.askyesno("Confirm Delete", "Are you sure you want to delete all ignore lists?"): 495 | try: 496 | ignore_dir = pathlib.Path('./ignore_lists') 497 | deleted_count = 0 498 | 499 | for file_path in ignore_dir.glob('*'): 500 | if file_path.is_file(): 501 | os.remove(file_path) 502 | deleted_count += 1 503 | self.log_message(f"🗑️ Deleted: {file_path.name}") 504 | 505 | self.log_message(f"✅ Deleted {deleted_count} ignore list files") 506 | 507 | except Exception as e: 508 | self.log_message(f"❌ Error deleting ignore lists: {e}") 509 | 510 | def run_cyt_threaded(self): 511 | """Run CYT in background""" 512 | if 'cyt' in self.running_processes: 513 | self.log_message("⚠️ CYT is already running!") 514 | return 515 | 516 | self.log_message("🚀 Starting Chasing Your Tail...") 517 | self.run_cyt_btn.config(state='disabled', text='🔄 RUNNING...', bg='#ffaa00') 518 | threading.Thread(target=self._run_cyt_background, daemon=True).start() 519 | 520 | def _run_cyt_background(self): 521 | """Background CYT execution""" 522 | try: 523 | # Set test mode for non-interactive credential access 524 | env = os.environ.copy() 525 | env['CYT_TEST_MODE'] = 'true' 526 | 527 | process = subprocess.Popen( 528 | ['python3', './chasing_your_tail.py'], 529 | stdout=subprocess.PIPE, 530 | stderr=subprocess.STDOUT, 531 | text=True, 532 | bufsize=1, 533 | universal_newlines=True, 534 | env=env 535 | ) 536 | 537 | self.running_processes['cyt'] = process 538 | self.log_message("✅ CYT process started successfully") 539 | 540 | # Read output in real-time 541 | for line in process.stdout: 542 | if line.strip(): 543 | self.log_message(f"CYT: {line.strip()}") 544 | 545 | except Exception as e: 546 | self.log_message(f"❌ Error running CYT: {e}") 547 | finally: 548 | if 'cyt' in self.running_processes: 549 | del self.running_processes['cyt'] 550 | self.run_cyt_btn.config(state='normal', text='🚀 START\nCHASING YOUR TAIL', bg='#ff6b35') 551 | 552 | def analyze_logs_threaded(self): 553 | """Analyze logs in background""" 554 | self.log_message("📈 Starting log analysis...") 555 | self.analyze_btn.config(state='disabled', text='Analyzing...') 556 | threading.Thread(target=self._analyze_logs_background, daemon=True).start() 557 | 558 | def _analyze_logs_background(self): 559 | """Background log analysis""" 560 | try: 561 | env = os.environ.copy() 562 | env['CYT_TEST_MODE'] = 'true' 563 | 564 | self.log_message("🔄 Running probe analyzer (this may take several minutes for large datasets)...") 565 | 566 | result = subprocess.run( 567 | ['python3', './probe_analyzer.py', '--local'], 568 | capture_output=True, 569 | text=True, 570 | timeout=300, # Increased to 5 minutes 571 | env=env 572 | ) 573 | 574 | # Save full output to timestamped report file 575 | from datetime import datetime 576 | import pathlib 577 | 578 | # Create reports directory if it doesn't exist 579 | reports_dir = pathlib.Path('./reports') 580 | reports_dir.mkdir(exist_ok=True) 581 | 582 | timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') 583 | report_file = reports_dir / f"probe_analysis_report_{timestamp}.txt" 584 | 585 | with open(report_file, 'w') as f: 586 | f.write(f"CYT Probe Analysis Report\n") 587 | f.write(f"Generated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n") 588 | f.write("=" * 50 + "\n\n") 589 | 590 | if result.stdout: 591 | f.write("ANALYSIS OUTPUT:\n") 592 | f.write("-" * 30 + "\n") 593 | f.write(result.stdout) 594 | f.write("\n\n") 595 | 596 | if result.stderr and result.stderr.strip(): 597 | f.write("WARNINGS/ERRORS:\n") 598 | f.write("-" * 30 + "\n") 599 | f.write(result.stderr) 600 | f.write("\n\n") 601 | 602 | f.write("End of Report\n") 603 | 604 | self.log_message(f"📄 Full analysis saved to: {report_file}") 605 | 606 | # Show summary in GUI 607 | if result.stdout: 608 | lines = result.stdout.split('\n') 609 | summary_lines = [] 610 | 611 | # Extract key findings for GUI display 612 | for line in lines: 613 | if any(keyword in line.lower() for keyword in ['found', 'ssid:', 'times seen:', 'unique ssids']): 614 | summary_lines.append(line) 615 | 616 | if summary_lines: 617 | self.log_message("📊 Analysis Summary:") 618 | for line in summary_lines[:15]: # Show top findings 619 | if line.strip(): 620 | self.log_message(f" {line}") 621 | 622 | if len(summary_lines) > 15: 623 | self.log_message(f" ... and {len(summary_lines)-15} more findings") 624 | else: 625 | # Fallback to first 10 lines if no key findings 626 | for line in lines[:10]: 627 | if line.strip(): 628 | self.log_message(f"Analysis: {line}") 629 | 630 | if result.stderr and result.stderr.strip(): 631 | self.log_message(f"⚠️ Analysis warnings saved to report file") 632 | 633 | self.log_message("✅ Log analysis complete - see report file for full details") 634 | 635 | except subprocess.TimeoutExpired: 636 | self.log_message("⚠️ Analysis timed out after 5 minutes (very large dataset)") 637 | self.log_message("💡 Try running 'python3 probe_analyzer.py --local' manually for large datasets") 638 | except Exception as e: 639 | self.log_message(f"❌ Error analyzing logs: {e}") 640 | finally: 641 | self.analyze_btn.config(state='normal', text='📈 Analyze\nLogs') 642 | 643 | def surveillance_analysis_threaded(self): 644 | """Run surveillance analysis in background""" 645 | self.log_message("🗺️ Starting surveillance analysis with GPS correlation...") 646 | self.surveillance_btn.config(state='disabled', text='Analyzing...') 647 | threading.Thread(target=self._surveillance_analysis_background, daemon=True).start() 648 | 649 | def _surveillance_analysis_background(self): 650 | """Background surveillance analysis""" 651 | try: 652 | env = os.environ.copy() 653 | env['CYT_TEST_MODE'] = 'true' 654 | 655 | self.log_message("🔄 Running surveillance analyzer (generating KML for Google Earth)...") 656 | 657 | result = subprocess.run( 658 | ['python3', './surveillance_analyzer.py'], 659 | capture_output=True, 660 | text=True, 661 | timeout=300, 662 | env=env 663 | ) 664 | 665 | if result.returncode == 0: 666 | # Look for generated files 667 | import glob 668 | kml_files = glob.glob("kml_files/surveillance_analysis_*.kml") 669 | report_files = glob.glob("surveillance_reports/surveillance_report_*.md") 670 | 671 | if kml_files: 672 | latest_kml = max(kml_files, key=os.path.getctime) 673 | self.log_message(f"✅ KML file generated: {latest_kml}") 674 | self.log_message("🌍 Open this file in Google Earth to see GPS tracking!") 675 | 676 | if report_files: 677 | latest_report = max(report_files, key=os.path.getctime) 678 | self.log_message(f"📝 Analysis report: {latest_report}") 679 | 680 | self.log_message("✅ Surveillance analysis complete!") 681 | 682 | # Show some output 683 | if result.stdout: 684 | lines = result.stdout.split('\n')[:10] # Show first 10 lines 685 | for line in lines: 686 | if line.strip(): 687 | self.log_message(f"📊 {line.strip()}") 688 | else: 689 | self.log_message(f"❌ Surveillance analysis failed") 690 | if result.stderr: 691 | self.log_message(f"Error: {result.stderr}") 692 | 693 | except subprocess.TimeoutExpired: 694 | self.log_message("⚠️ Surveillance analysis timed out") 695 | except Exception as e: 696 | self.log_message(f"❌ Error running surveillance analysis: {e}") 697 | finally: 698 | self.surveillance_btn.config(state='normal', text='🗺️ Surveillance\nAnalysis') 699 | 700 | def quit_application(self): 701 | """Quit application with cleanup""" 702 | if messagebox.askyesno("Quit", "Are you sure you want to quit CYT?"): 703 | # Clean up any running processes 704 | for name, process in list(self.running_processes.items()): 705 | try: 706 | process.terminate() 707 | self.log_message(f"🛑 Stopped {name} process") 708 | except: 709 | pass 710 | 711 | self.log_message("👋 Goodbye!") 712 | self.root.quit() 713 | 714 | def run(self): 715 | """Start the GUI""" 716 | self.root.mainloop() 717 | 718 | if __name__ == '__main__': 719 | try: 720 | app = CYTGui() 721 | app.run() 722 | except Exception as e: 723 | print(f"Error starting CYT GUI: {e}") 724 | import traceback 725 | traceback.print_exc() -------------------------------------------------------------------------------- /gps_tracker.py: -------------------------------------------------------------------------------- 1 | """ 2 | GPS Integration for CYT 3 | Correlates device appearances with GPS locations for surveillance detection 4 | """ 5 | import json 6 | import time 7 | import logging 8 | from datetime import datetime 9 | from typing import Dict, List, Tuple, Optional, NamedTuple 10 | from dataclasses import dataclass 11 | import math 12 | 13 | logger = logging.getLogger(__name__) 14 | 15 | @dataclass 16 | class GPSLocation: 17 | """GPS coordinate with metadata""" 18 | latitude: float 19 | longitude: float 20 | altitude: Optional[float] = None 21 | timestamp: float = None 22 | accuracy: Optional[float] = None 23 | location_name: Optional[str] = None 24 | 25 | @dataclass 26 | class LocationSession: 27 | """A session at a specific location""" 28 | location: GPSLocation 29 | start_time: float 30 | end_time: float 31 | devices_seen: List[str] # MAC addresses 32 | session_id: str 33 | 34 | class GPSTracker: 35 | """Track GPS locations and correlate with device appearances""" 36 | 37 | def __init__(self, config: Dict): 38 | self.config = config 39 | self.locations = [] 40 | self.location_sessions = [] 41 | self.current_location = None 42 | 43 | # Location clustering settings 44 | self.location_threshold = 100 # meters - same location if within this distance 45 | self.session_timeout = 600 # seconds - new session if gap longer than this 46 | 47 | def add_gps_reading(self, latitude: float, longitude: float, 48 | altitude: float = None, accuracy: float = None, 49 | location_name: str = None) -> str: 50 | """Add a GPS reading and return location ID""" 51 | timestamp = time.time() 52 | 53 | location = GPSLocation( 54 | latitude=latitude, 55 | longitude=longitude, 56 | altitude=altitude, 57 | timestamp=timestamp, 58 | accuracy=accuracy, 59 | location_name=location_name 60 | ) 61 | 62 | self.locations.append(location) 63 | 64 | # Generate location ID (for clustering nearby locations) 65 | location_id = self._get_location_cluster_id(location) 66 | 67 | # Update current location and session 68 | self._update_current_session(location, location_id) 69 | 70 | logger.info(f"GPS reading added: {latitude:.6f}, {longitude:.6f} -> {location_id}") 71 | return location_id 72 | 73 | def _get_location_cluster_id(self, location: GPSLocation) -> str: 74 | """Get cluster ID for location (groups nearby locations)""" 75 | # Check if this location is close to any existing session 76 | for session in self.location_sessions: 77 | distance = self._calculate_distance(location, session.location) 78 | if distance <= self.location_threshold: 79 | return session.session_id 80 | 81 | # Create new location cluster 82 | if location.location_name: 83 | base_name = location.location_name.replace(' ', '_') 84 | else: 85 | # Generate name from coordinates 86 | base_name = f"loc_{location.latitude:.4f}_{location.longitude:.4f}" 87 | 88 | # Make unique 89 | existing_ids = [s.session_id for s in self.location_sessions] 90 | counter = 1 91 | location_id = base_name 92 | while location_id in existing_ids: 93 | location_id = f"{base_name}_{counter}" 94 | counter += 1 95 | 96 | return location_id 97 | 98 | def _update_current_session(self, location: GPSLocation, location_id: str) -> None: 99 | """Update current location session""" 100 | now = time.time() 101 | 102 | # Find existing session or create new one 103 | current_session = None 104 | for session in self.location_sessions: 105 | if session.session_id == location_id: 106 | # Check if this continues the existing session 107 | if now - session.end_time <= self.session_timeout: 108 | session.end_time = now 109 | current_session = session 110 | break 111 | 112 | if not current_session: 113 | # Create new session 114 | current_session = LocationSession( 115 | location=location, 116 | start_time=now, 117 | end_time=now, 118 | devices_seen=[], 119 | session_id=location_id 120 | ) 121 | self.location_sessions.append(current_session) 122 | 123 | self.current_location = current_session 124 | logger.debug(f"Updated session: {location_id}") 125 | 126 | def _calculate_distance(self, loc1: GPSLocation, loc2: GPSLocation) -> float: 127 | """Calculate distance between two GPS locations in meters""" 128 | # Haversine formula 129 | R = 6371000 # Earth's radius in meters 130 | 131 | lat1_rad = math.radians(loc1.latitude) 132 | lat2_rad = math.radians(loc2.latitude) 133 | delta_lat = math.radians(loc2.latitude - loc1.latitude) 134 | delta_lon = math.radians(loc2.longitude - loc1.longitude) 135 | 136 | a = (math.sin(delta_lat/2) * math.sin(delta_lat/2) + 137 | math.cos(lat1_rad) * math.cos(lat2_rad) * 138 | math.sin(delta_lon/2) * math.sin(delta_lon/2)) 139 | 140 | c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a)) 141 | distance = R * c 142 | 143 | return distance 144 | 145 | def add_device_at_current_location(self, mac: str) -> Optional[str]: 146 | """Record that a device was seen at current location""" 147 | if not self.current_location: 148 | logger.warning("No current location - cannot record device") 149 | return None 150 | 151 | if mac not in self.current_location.devices_seen: 152 | self.current_location.devices_seen.append(mac) 153 | logger.debug(f"Device {mac} seen at {self.current_location.session_id}") 154 | 155 | return self.current_location.session_id 156 | 157 | def get_current_location_id(self) -> Optional[str]: 158 | """Get current location ID""" 159 | if self.current_location: 160 | return self.current_location.session_id 161 | return None 162 | 163 | def get_location_history(self) -> List[LocationSession]: 164 | """Get chronological location history""" 165 | return sorted(self.location_sessions, key=lambda s: s.start_time) 166 | 167 | def get_devices_across_locations(self) -> Dict[str, List[str]]: 168 | """Get devices that appeared across multiple locations""" 169 | device_locations = {} 170 | 171 | for session in self.location_sessions: 172 | for mac in session.devices_seen: 173 | if mac not in device_locations: 174 | device_locations[mac] = [] 175 | if session.session_id not in device_locations[mac]: 176 | device_locations[mac].append(session.session_id) 177 | 178 | # Filter to devices seen at multiple locations 179 | multi_location_devices = { 180 | mac: locations for mac, locations in device_locations.items() 181 | if len(locations) > 1 182 | } 183 | 184 | return multi_location_devices 185 | 186 | class KMLExporter: 187 | """Export GPS and device data to KML format for Google Earth""" 188 | 189 | def __init__(self): 190 | self.kml_template = ''' 191 | 192 | 193 | 🛡️ CYT Advanced Surveillance Detection Analysis 194 | 🔍 Chasing Your Tail - Surveillance Detection Report 196 |

📊 Generated: {timestamp}

197 |

🎯 Analysis: Advanced wireless device tracking and persistence analysis

198 |

🛰️ GPS Data: Real-time location correlation with device appearances

199 |
200 |

This visualization shows device tracking patterns and location-based surveillance analysis.

201 | ]]> 202 | 203 | 204 | 222 | 223 | 241 | 242 | 260 | 261 | 262 | 280 | 281 | 295 | 296 | 297 | 306 | 307 | 316 | 317 | 326 | 327 | 328 | 338 | 339 | 349 | 350 | {content} 351 | 352 | ''' 353 | 354 | def generate_kml(self, gps_tracker: GPSTracker, surveillance_devices: List = None, 355 | output_file: str = "cyt_analysis.kml") -> str: 356 | """Generate spectacular KML file with advanced surveillance visualization""" 357 | 358 | if not gps_tracker.location_sessions: 359 | logger.warning("No GPS data available for KML generation") 360 | return self._generate_empty_kml(output_file) 361 | 362 | content_parts = [] 363 | timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S') 364 | 365 | # Enhanced location sessions with threat level visualization 366 | content_parts.append("") 367 | content_parts.append("📍 Monitoring Locations") 368 | content_parts.append("Geographic locations where surveillance detection occurred") 369 | 370 | for session in gps_tracker.get_location_history(): 371 | start_time = datetime.fromtimestamp(session.start_time) 372 | end_time = datetime.fromtimestamp(session.end_time) 373 | duration = (session.end_time - session.start_time) / 60 # minutes 374 | 375 | # Calculate threat level for this location 376 | location_persistence_score = 0.0 377 | suspicious_devices_here = [] 378 | if surveillance_devices: 379 | for device in surveillance_devices: 380 | if session.session_id in device.locations_seen: 381 | location_persistence_score = max(location_persistence_score, device.persistence_score) 382 | suspicious_devices_here.append(device) 383 | 384 | # Choose appropriate style based on persistence level (safer language) 385 | if location_persistence_score > 0.8: 386 | style_url = "#criticalLocationStyle" 387 | threat_indicator = "🚨 VERY HIGH PERSISTENCE ZONE" 388 | location_color = "Red" 389 | elif location_persistence_score > 0.6: 390 | style_url = "#highThreatLocationStyle" 391 | threat_indicator = "⚠️ HIGH PERSISTENCE AREA" 392 | location_color = "Orange" 393 | elif location_persistence_score > 0.3: 394 | style_url = "#mediumThreatLocationStyle" 395 | threat_indicator = "🟡 MODERATE PERSISTENCE ZONE" 396 | location_color = "Yellow" 397 | else: 398 | style_url = "#locationStyle" 399 | threat_indicator = "🟢 LOW ACTIVITY LOCATION" 400 | location_color = "Green" 401 | 402 | placemark = f''' 403 | 404 | [{location_color}] {session.session_id} 405 | 406 | {threat_indicator} 408 | 409 | 410 | 411 | 412 | 413 | 414 | 415 | 416 | 417 |
Location ID{session.session_id}
Persistence Score{location_persistence_score:.3f}/1.000
Monitoring Start{start_time.strftime('%Y-%m-%d %H:%M:%S')}
Monitoring End{end_time.strftime('%Y-%m-%d %H:%M:%S')}
Duration{duration:.1f} minutes
Total Devices{len(session.devices_seen)}
Suspicious Devices{len(suspicious_devices_here)}
Coordinates{session.location.latitude:.6f}, {session.location.longitude:.6f}
418 |
419 |

📱 Device Intelligence Summary:

420 | {self._format_enhanced_device_list(session.devices_seen, suspicious_devices_here)} 421 | 422 | {self._format_location_persistence_analysis(suspicious_devices_here) if suspicious_devices_here else '

✅ No persistent devices detected at this location

'} 423 | ]]> 424 | 425 | {style_url} 426 | 427 | {start_time.isoformat()}Z 428 | {end_time.isoformat()}Z 429 | 430 | 431 | {session.location.longitude},{session.location.latitude},0 432 | 433 | ''' 434 | content_parts.append(placemark) 435 | 436 | content_parts.append("") 437 | 438 | # Advanced suspicious device tracking with threat classification 439 | if surveillance_devices: 440 | # Group devices by threat level 441 | critical_devices = [d for d in surveillance_devices if d.persistence_score > 0.9] 442 | high_devices = [d for d in surveillance_devices if 0.8 <= d.persistence_score <= 0.9] 443 | medium_devices = [d for d in surveillance_devices if 0.6 <= d.persistence_score < 0.8] 444 | low_devices = [d for d in surveillance_devices if d.persistence_score < 0.6] 445 | 446 | # Very high persistence devices folder 447 | if critical_devices: 448 | content_parts.append("") 449 | content_parts.append("🚨 VERY HIGH PERSISTENCE DEVICES") 450 | content_parts.append("Devices with highest activity patterns") 451 | self._add_device_tracking_folder(content_parts, critical_devices, gps_tracker, "CRITICAL") 452 | content_parts.append("") 453 | 454 | # High persistence devices folder 455 | if high_devices: 456 | content_parts.append("") 457 | content_parts.append("⚠️ HIGH PERSISTENCE DEVICES") 458 | content_parts.append("Devices with notable activity patterns") 459 | self._add_device_tracking_folder(content_parts, high_devices, gps_tracker, "HIGH") 460 | content_parts.append("") 461 | 462 | # Medium persistence devices folder 463 | if medium_devices: 464 | content_parts.append("") 465 | content_parts.append("🟡 MODERATE PERSISTENCE DEVICES") 466 | content_parts.append("Devices with some activity patterns") 467 | self._add_device_tracking_folder(content_parts, medium_devices, gps_tracker, "MEDIUM") 468 | content_parts.append("") 469 | 470 | # Surveillance pattern analysis overlay 471 | content_parts.append("") 472 | content_parts.append("🔍 BEHAVIORAL ANALYSIS") 473 | content_parts.append("Advanced surveillance pattern visualization") 474 | 475 | # Add heat map style analysis 476 | self._add_surveillance_heatmap(content_parts, surveillance_devices, gps_tracker) 477 | 478 | # Add temporal analysis tracks 479 | self._add_temporal_analysis_tracks(content_parts, surveillance_devices, gps_tracker) 480 | 481 | content_parts.append("") 482 | 483 | # Generate enhanced final KML with updated styles and timestamp 484 | full_content = "\n".join(content_parts) 485 | enhanced_kml_template = self._get_enhanced_kml_template() 486 | kml_output = enhanced_kml_template.format( 487 | content=full_content, 488 | timestamp=timestamp, 489 | total_locations=len(gps_tracker.location_sessions), 490 | total_devices=len(surveillance_devices) if surveillance_devices else 0 491 | ) 492 | 493 | # Save to file 494 | with open(output_file, 'w') as f: 495 | f.write(kml_output) 496 | 497 | logger.info(f"🎯 SPECTACULAR KML visualization generated: {output_file}") 498 | logger.info(f"📊 Includes {len(gps_tracker.location_sessions)} locations, {len(surveillance_devices) if surveillance_devices else 0} surveillance devices") 499 | return kml_output 500 | 501 | def _format_device_list(self, devices: List[str]) -> str: 502 | """Format device list for KML description""" 503 | if not devices: 504 | return "None" 505 | 506 | # Limit to first 10 devices to avoid clutter 507 | displayed_devices = devices[:10] 508 | formatted = "
".join(f"• {mac}" for mac in displayed_devices) 509 | 510 | if len(devices) > 10: 511 | formatted += f"
... and {len(devices) - 10} more" 512 | 513 | return formatted 514 | 515 | def _format_threat_reasons(self, reasons: List[str]) -> str: 516 | """Format threat reasons for KML description""" 517 | if not reasons: 518 | return "No specific threats identified" 519 | 520 | return "
".join(f"• {reason}" for reason in reasons) 521 | 522 | def _format_enhanced_device_list(self, all_devices: List[str], suspicious_devices: List) -> str: 523 | """Format enhanced device list with threat intelligence""" 524 | if not all_devices: 525 | return "

No devices detected

" 526 | 527 | html = "" 544 | return html 545 | 546 | def _format_location_persistence_analysis(self, suspicious_devices: List) -> str: 547 | """Format location-specific persistence analysis""" 548 | if not suspicious_devices: 549 | return "" 550 | 551 | html = "

📊 Persistence Analysis for This Location:

" 552 | html += "" 561 | return html 562 | 563 | def _add_device_tracking_folder(self, content_parts: List[str], devices: List, 564 | gps_tracker: GPSTracker, threat_level: str) -> None: 565 | """Add device tracking visualization for a specific threat level""" 566 | 567 | multi_location_devices = gps_tracker.get_devices_across_locations() 568 | 569 | # Style mapping for threat levels 570 | path_styles = { 571 | "CRITICAL": "#criticalDevicePathStyle", 572 | "HIGH": "#highDevicePathStyle", 573 | "MEDIUM": "#mediumDevicePathStyle", 574 | "LOW": "#lowDevicePathStyle" 575 | } 576 | 577 | marker_styles = { 578 | "CRITICAL": "#criticalDeviceStyle", 579 | "HIGH": "#highDeviceStyle", 580 | "MEDIUM": "#mediumDeviceStyle", 581 | "LOW": "#lowDeviceStyle" 582 | } 583 | 584 | for device in devices: 585 | if device.mac in multi_location_devices: 586 | locations = multi_location_devices[device.mac] 587 | 588 | # Create enhanced tracking path with temporal data 589 | path_coordinates = [] 590 | location_times = [] 591 | 592 | for session in sorted(gps_tracker.location_sessions, key=lambda s: s.start_time): 593 | if session.session_id in locations: 594 | path_coordinates.append(f"{session.location.longitude},{session.location.latitude},0") 595 | location_times.append(datetime.fromtimestamp(session.start_time)) 596 | 597 | if len(path_coordinates) > 1: 598 | # Device tracking path 599 | duration = device.last_seen - device.first_seen 600 | device_path = f''' 601 | 602 | [{threat_level}] Tracking Path: {device.mac} 603 | 604 | 🎯 DEVICE TRACKING INTELLIGENCE 606 | 607 | 608 | 609 | 610 | 611 | 612 | 613 | 614 | 615 |
MAC Address{device.mac}
Persistence Classification{threat_level} PERSISTENCE
Persistence Score{device.persistence_score:.3f}/1.000
Surveillance Duration{duration.total_seconds()/3600:.1f} hours
Locations Tracked{len(locations)}
Total Appearances{device.total_appearances}
First Seen{device.first_seen.strftime('%Y-%m-%d %H:%M:%S')}
Last Seen{device.last_seen.strftime('%Y-%m-%d %H:%M:%S')}
616 |
617 |

📊 Persistence Indicators:

618 | 621 |

📍 Location Tracking Path:

622 |
    623 | {chr(10).join(f'
  1. {time.strftime("%H:%M")} - {loc}
    2. ' for time, loc in zip(location_times, locations))} 624 |
625 | ]]> 626 | 627 | {path_styles.get(threat_level, "#devicePathStyle")} 628 | 629 | 630 | {" ".join(path_coordinates)} 631 | 632 | 633 | ''' 634 | content_parts.append(device_path) 635 | 636 | # Enhanced markers for each location 637 | for session in gps_tracker.location_sessions: 638 | if session.session_id in locations and device.mac in session.devices_seen: 639 | # Find device appearances at this location 640 | appearances_here = [a for a in device.appearances if a.location_id == session.session_id] 641 | 642 | device_marker = f''' 643 | 644 | [{threat_level}] {device.mac} @ {session.session_id} 645 | 646 | 📱 DEVICE DETECTION EVENT 648 | 649 | 650 | 651 | 652 | 653 | 654 | 655 | 656 |
Device MAC{device.mac}
Location{session.session_id}
Persistence Level{threat_level}
Detection Time{datetime.fromtimestamp(session.start_time).strftime('%Y-%m-%d %H:%M:%S')}
Duration at Location{(session.end_time - session.start_time)/60:.1f} minutes
Appearances Here{len(appearances_here)}
Persistence Score{device.persistence_score:.3f}
657 | {f'

📡 Probe Activity:

' if any(app.ssids_probed for app in appearances_here[:3]) else '

No probe requests captured

'} 658 | ]]> 659 | 660 | {marker_styles.get(threat_level, "#suspiciousDeviceStyle")} 661 | 662 | {session.location.longitude},{session.location.latitude},0 663 | 664 | ''' 665 | content_parts.append(device_marker) 666 | 667 | def _add_surveillance_heatmap(self, content_parts: List[str], surveillance_devices: List, 668 | gps_tracker: GPSTracker) -> None: 669 | """Add surveillance intensity heatmap visualization""" 670 | 671 | # Calculate surveillance intensity per location 672 | location_intensity = {} 673 | for device in surveillance_devices: 674 | for location in device.locations_seen: 675 | if location not in location_intensity: 676 | location_intensity[location] = [] 677 | location_intensity[location].append(device.persistence_score) 678 | 679 | for location, scores in location_intensity.items(): 680 | avg_persistence = sum(scores) / len(scores) 681 | max_persistence = max(scores) 682 | device_count = len(scores) 683 | 684 | # Find the session for this location 685 | session = None 686 | for s in gps_tracker.location_sessions: 687 | if s.session_id == location: 688 | session = s 689 | break 690 | 691 | if session: 692 | # Create heatmap circle based on intensity 693 | radius = min(max(device_count * 50, 100), 500) # Scale radius by device count 694 | 695 | heatmap_circle = f''' 696 | 697 | 🔥 Surveillance Intensity: {location} 698 | 699 | 📊 SURVEILLANCE INTENSITY ANALYSIS 701 | 702 | 703 | 704 | 705 | 706 | 707 |
Location{location}
Suspicious Devices{device_count}
Average Persistence Score{avg_persistence:.3f}
Maximum Persistence Score{max_persistence:.3f}
Intensity Level{'🔴 VERY HIGH' if max_persistence > 0.8 else '🟡 ELEVATED' if max_persistence > 0.6 else '🟢 MODERATE'}
708 | ]]> 709 | 710 | #heatmapStyle 711 | 712 | 713 | 714 | 715 | {self._generate_circle_coordinates(session.location.longitude, session.location.latitude, radius)} 716 | 717 | 718 | 719 | 720 | ''' 721 | content_parts.append(heatmap_circle) 722 | 723 | def _add_temporal_analysis_tracks(self, content_parts: List[str], surveillance_devices: List, 724 | gps_tracker: GPSTracker) -> None: 725 | """Add temporal surveillance pattern visualization""" 726 | 727 | # Group devices by time patterns 728 | work_hour_devices = [] 729 | off_hour_devices = [] 730 | regular_pattern_devices = [] 731 | 732 | for device in surveillance_devices: 733 | hours = [datetime.fromtimestamp(a.timestamp).hour for a in device.appearances] 734 | work_hours = [h for h in hours if 9 <= h <= 17] 735 | off_hours = [h for h in hours if h >= 22 or h <= 6] 736 | 737 | work_hour_ratio = len(work_hours) / len(hours) if hours else 0 738 | off_hour_ratio = len(off_hours) / len(hours) if hours else 0 739 | 740 | if work_hour_ratio > 0.7: 741 | work_hour_devices.append(device) 742 | elif off_hour_ratio > 0.7: 743 | off_hour_devices.append(device) 744 | 745 | # Check for regular intervals 746 | if len(device.appearances) >= 3: 747 | timestamps = sorted([a.timestamp for a in device.appearances]) 748 | intervals = [timestamps[i] - timestamps[i-1] for i in range(1, len(timestamps))] 749 | if len(intervals) > 1: 750 | avg_interval = sum(intervals) / len(intervals) 751 | variance = sum((i - avg_interval) ** 2 for i in intervals) / len(intervals) 752 | if variance < (avg_interval * 0.1): # Regular pattern 753 | regular_pattern_devices.append(device) 754 | 755 | # Create pattern analysis placemarks 756 | if work_hour_devices: 757 | analysis = f''' 758 | 759 | ⏰ Work Hours Surveillance Pattern 760 | 761 | 👔 WORK HOURS SURVEILLANCE DETECTED 763 |

{len(work_hour_devices)} devices show activity primarily during work hours (9 AM - 5 PM)

764 |

Implications: Possible workplace surveillance or professional monitoring

765 |

Affected Devices:

766 | 769 | ]]> 770 | 771 | #temporalPatternStyle 772 | 773 | {gps_tracker.location_sessions[0].location.longitude},{gps_tracker.location_sessions[0].location.latitude},100 774 | 775 | ''' 776 | content_parts.append(analysis) 777 | 778 | if off_hour_devices: 779 | analysis = f''' 780 | 781 | 🌙 Off-Hours Surveillance Pattern 782 | 783 | 🚨 OFF-HOURS SURVEILLANCE DETECTED 785 |

{len(off_hour_devices)} devices show activity primarily during off hours (10 PM - 6 AM)

786 |

Implications: Possible stalking or personal surveillance

787 |

Affected Devices:

788 | 791 | ]]> 792 | 793 | #offHoursPatternStyle 794 | 795 | {gps_tracker.location_sessions[0].location.longitude},{gps_tracker.location_sessions[0].location.latitude},150 796 | 797 | ''' 798 | content_parts.append(analysis) 799 | 800 | def _generate_circle_coordinates(self, center_lon: float, center_lat: float, radius_meters: float) -> str: 801 | """Generate circle coordinates for KML polygon""" 802 | import math 803 | 804 | # Convert radius to degrees (approximate) 805 | radius_deg = radius_meters / 111000 # rough conversion 806 | 807 | coordinates = [] 808 | for i in range(37): # 36 points + close the circle 809 | angle = (i * 10) * math.pi / 180 # 10 degrees per point 810 | lon = center_lon + radius_deg * math.cos(angle) 811 | lat = center_lat + radius_deg * math.sin(angle) 812 | coordinates.append(f"{lon},{lat},0") 813 | 814 | return " ".join(coordinates) 815 | 816 | def _get_enhanced_kml_template(self) -> str: 817 | """Get spectacular KML template with advanced styling and metadata""" 818 | return ''' 819 | 820 | 821 | 🛡️ CYT Advanced Surveillance Detection Analysis 822 | 📡 CYT Device Analysis Report 824 |

Generated: {timestamp}

825 |

Analysis: Wireless device tracking and persistence analysis

826 |

GPS Locations: {total_locations} monitoring locations

827 |

Persistent Devices: {total_devices} devices detected

828 |
829 |

Visualization Features:

830 |
    831 |
  • Color-coded device classifications
    • 832 |
  • Location monitoring session data
    • 833 |
  • Device movement correlation
    • 834 |
  • Activity intensity mapping
    • 835 |
  • Time-based pattern analysis
    • 836 |
837 |

KML visualization for Google Earth analysis.

838 | ]]> 839 | 840 | 841 | 848 | 849 | 856 | 857 | 864 | 865 | 872 | 873 | 874 | 880 | 881 | 887 | 888 | 894 | 895 | 901 | 902 | 903 | 910 | 911 | 918 | 919 | 926 | 927 | 934 | 935 | 936 | 947 | 948 | 955 | 956 | 963 | 964 | {content} 965 | 966 | ''' 967 | 968 | def _generate_empty_kml(self, output_file: str) -> str: 969 | """Generate empty KML when no GPS data is available""" 970 | timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S') 971 | 972 | empty_content = f''' 973 | 974 | 🚨 No GPS Data Available 975 | 976 | No Location Data Found 978 |

Generated: {timestamp}

979 |

No GPS coordinates were available for visualization.

980 |

Ensure GPS tracking is enabled and locations are being recorded.

981 | ]]> 982 | 983 | 984 | -112.0740,33.4484,0 985 | 986 | ''' 987 | 988 | kml_output = self._get_enhanced_kml_template().format( 989 | content=empty_content, 990 | timestamp=timestamp, 991 | total_locations=0, 992 | total_devices=0 993 | ) 994 | 995 | with open(output_file, 'w') as f: 996 | f.write(kml_output) 997 | 998 | logger.warning(f"Empty KML generated: {output_file}") 999 | return kml_output 1000 | 1001 | def simulate_gps_data() -> List[Tuple[float, float, str]]: 1002 | """Generate simulated GPS data for testing""" 1003 | # Simulate a route with multiple stops 1004 | locations = [ 1005 | (33.4484, -112.0740, "Phoenix_Home"), 1006 | (33.4734, -112.0431, "Phoenix_Office"), 1007 | (33.5076, -112.0726, "Phoenix_Mall"), 1008 | (33.4942, -112.1122, "Phoenix_Restaurant"), 1009 | (33.4484, -112.0740, "Phoenix_Home_Return") 1010 | ] 1011 | return locations --------------------------------------------------------------------------------