├── LICENSE ├── README.md ├── code_assessment └── puma_scan.md ├── cryptography └── hashview.md ├── exploitation ├── avet.md ├── gef.md ├── mailsniper.md └── rattler.md ├── forensics ├── inVtero.net.md └── userline.md ├── frameworks ├── defplorex.md ├── dradis_framework.md └── kubebot.md ├── hardening └── lynis.md ├── hardware_iot ├── .keep └── WHID.md ├── ics_scada └── .keep ├── malware_research ├── .keep ├── ProcInfo.md ├── floss.md └── sniffMK.md ├── mobile_hacking ├── androidtamer.md ├── badintent.md ├── kwetza.md ├── mobsf.md └── needle.md ├── network_attacks ├── crowbar.md ├── delta.md ├── det.md ├── eaphammer.md ├── egression.md ├── flashlight.md ├── gr-lora.md └── yasuo.md ├── network_defense ├── lulu.md ├── sitch.md ├── sweetsecurity.md └── zenected.md ├── osint ├── .keep └── datasploit.md ├── phishing └── spf.md ├── red_team ├── legion.md ├── shinobot.md └── warberrypi.md ├── reverse_engineering └── .keep ├── tool_template.md ├── vulnerability_assessment └── apt2.md └── webapp_security ├── jack.md ├── owtf.md ├── wssat.md └── zap.md /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | {one line to give the program's name and a brief idea of what it does.} 635 | Copyright (C) {year} {name of author} 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Black Hat Arsenal Github Tools Copyright (C) 2017 ToolsWatch.org 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Official Black Hat Arsenal Tools Github Repository 2 | 3 | ![Arsenal](https://www.toolswatch.org/wp-content/uploads/2016/12/bharsenal.png) 4 | 5 | This github account maps to the Black Hat Arsenal tools since its inception in 2011. 6 | For readibility, the tools are classified by category and not by session. 7 | 8 | This account is maintained by [ToolsWatch.org](https://www.toolswatch.org) the official organizer of the Black Hat Arsenal event 9 | 10 | 11 | **Disclaimer**: Tools not demonstrated during a Black Hat Arsenal session will not be accepted 12 | 13 | ### How to Submit ? 14 | 15 | Submit your template to the **most one representative categor**y as a pull request. After review, we will reflect the change on the repo. 16 | Use the given template `tool_name.md` . 17 | Change tool_name.md to your tool name (ex: lynis.md) 18 | 19 | ### Missing a category ? 20 | 21 | If you think we missed a category, do not hesitate to contact us (or push request). 22 | 23 | ### Contact us 24 | 25 | * [Twitter](https://twitter.com/toolswatch) 26 | * [Email](mailto:hacker@toolswatch.org) -------------------------------------------------------------------------------- /code_assessment/puma_scan.md: -------------------------------------------------------------------------------- 1 | # Puma Scan 2 | 3 | ### Description 4 | Puma Scan is a software security Visual Studio analyzer extension built on top of Roslyn, the open-source .NET Compiler Platform. Puma Scan provides real time, continuous source code analysis as development teams write code. Vulnerabilities are immediately displayed in the development environment as spell check and compiler warnings, preventing security bugs from entering your applications. Simply install the plugin / NuGet package and find the following vulnerability patterns: 5 | * Command Injection (SQL, LDAP, OS Commands) 6 | * Cross-Site Scripting 7 | * Cross-Site Request Forgery 8 | * Insecure Cryptography 9 | * Insecure Password Management 10 | * Unvalidated Redirect 11 | * Weak Validation 12 | * Directory Traversal 13 | * Missing Certificate Validation 14 | 15 | ### Categories 16 | * Code Assessment 17 | * Static Analysis 18 | * .NET Security 19 | 20 | #### BlackHat Arsenal sessions 21 | 22 | [![Black Hat Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.toolswatch.org/2017/02/the-black-hat-arsenal-asia-2017-great-line-up/) 23 | [![Black Hat Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 24 | 25 | 26 | ### Code 27 | [https://github.com/pumasecurity/puma-scan](https://github.com/pumasecurity/puma-scan) 28 | 29 | ### Lead Developers 30 | * Eric Johnson ([@emjohn20](https://twitter.com/emjohn20)) - [https://pumascan.com/about.html](https://pumascan.com/about.html) 31 | * Eric Mead ([@ericmmead](https://twitter.com/ericmmead)) - [https://pumascan.com/about.html](https://pumascan.com/about.html) 32 | * Aaron Cure ([@curea](https://twitter.com/curea)) - [https://pumascan.com/about.html](https://pumascan.com/about.html) 33 | 34 | ### Social Media 35 | * [Twitter](https://twitter.com/puma_scan) 36 | * [Company Website](https://pumascan.com/) 37 | -------------------------------------------------------------------------------- /cryptography/hashview.md: -------------------------------------------------------------------------------- 1 | # Hashview 2 | 3 | ### Description 4 | Hashview is a web front-end to hashcat with many powerful features geared towards penetration testers. Leverage task automation and real-time analytics for increased results and fancy reports. 5 | 6 | ### Categories 7 | * Cryptography 8 | * Penetration Testing 9 | * Reporting 10 | 11 | ### Black Hat sessions 12 | [![Hashview](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.blackhat.com/us-17/arsenal/schedule/#hashview-8019) 13 | 14 | ### Code 15 | https://github.com/hashview/hashview 16 | 17 | ### Lead Developers 18 | * Hans lakhan - i128 https://github.com/i128 19 | * Casey Cammilleri - ccammilleri https://github.com/ccammilleri 20 | 21 | ### Social Media 22 | * [@jarsnah12](https://twitter.com/jarsnah12) 23 | * [@caseycammilleri](https://twitter.com/CaseyCammilleri) 24 | * [http://www.hashview.io](https://www.hashview.io/) 25 | -------------------------------------------------------------------------------- /exploitation/avet.md: -------------------------------------------------------------------------------- 1 | # AVET 2 | 3 | ### Description 4 | AVET is an AntiVirus Evasion Tool, which was developed for making life easier for pentesters and for experimenting with antivirus evasion techniques. 5 | 6 | What & Why: 7 | - When running an exe file made with msfpayload & co, the exe file will often be recognized by the antivirus software 8 | - AVET is a antivirus evasion tool targeting windows machines 9 | - The techniques used in avet evaded most antivirus suites, including MS Defender, McAfee, Sophos, Avira and more 10 | - AVET includes two tools, avet.exe with different antivirus evasion techniques and make_avet for compiling a preconfigured binary file 11 | - For encoding the shellcode the tools format.sh and sh_format are included 12 | - AVET is tested with Kali 2 and tdm-gcc 13 | - Interactive assistant for easier usage 14 | - Support for 64bit payloads 15 | - The metasploit psexec module can be used 16 | 17 | ### Categories 18 | * Exploitation 19 | * Vulnerability assessment 20 | * Ethical Hacking 21 | 22 | ### Black Hat sessions 23 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.toolswatch.org/2017/02/the-black-hat-arsenal-asia-2017-great-line-up/) 24 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 25 | 26 | ### Code 27 | https://github.com/govolution/avet 28 | 29 | ### Lead Developer 30 | Daniel Sauder - https://github.com/govolution 31 | 32 | ### Social Media 33 | * [Twitter](https://twitter.com/DanielX4v3r) 34 | * [Blog](https://govolution.wordpress.com/) 35 | -------------------------------------------------------------------------------- /exploitation/gef.md: -------------------------------------------------------------------------------- 1 | # GEF - GDB Enhanced Features 2 | 3 | 4 | ### Description 5 | 6 | `GEF` is a kick-ass set of GDB commands for X86, ARM, MIPS, PowerPC and SPARC to make 7 | GDB cool again for exploit dev. It is aimed to be used mostly by exploiters and reverse-engineers, 8 | to provide additional features to GDB using the Python API to assist during the process of 9 | dynamic analysis and exploit development. 10 | 11 | It has full support for both Python2 and Python3 indifferently (as more and more distros start 12 | pushing gdb compiled with Python3 support). 13 | 14 | 15 | ### Categories 16 | 17 | * Exploitation 18 | * Reverse-Engineering 19 | * Debugging 20 | * Capture-The-Flag 21 | 22 | 23 | ### Black Hat sessions 24 | 25 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 26 | 27 | 28 | ### Code 29 | https://github.com/hugsy/gef.git 30 | 31 | ### Lead Developers 32 | * [hugsy](https://twitter.com/_hugsy_) 33 | 34 | Along with many contributors: 35 | * [GrazFather](https://twitter.com/Grazfather) 36 | * [Others](https://github.com/hugsy/gef/graphs/contributors) 37 | 38 | ### Social Media 39 | * IRC: Server:freenode.net Channel:##gef 40 | * WebIRC: https://webchat.freenode.net/?channels=##gef 41 | * [Documentation](https://gef.readthedocs.org/en/master/) 42 | * [Slides](https://blahcat.github.io/static/bhusa_2017/BH-USA-17-Alladoum-GDB-Enhanced-Features.pdf) 43 | * [Video Tutorials](https://www.youtube.com/playlist?list=PLjAuO31Rg972WeMvdR_57Qu-aVM8T6DkQ) 44 | -------------------------------------------------------------------------------- /exploitation/mailsniper.md: -------------------------------------------------------------------------------- 1 | # MailSniper 2 | 3 | ### Description 4 | MailSniper is a PowerShell-based penetration testing tool whose primary purpose is to search through email in a Microsoft Exchange environment for specific terms (i.e. passwords, insider intel, network architecture information, etc.). It can be used as a non-administrative user to search their own email, or by an Exchange administrator to search the mailboxes of every user in a domain. 5 | 6 | MailSniper includes additional modules for attacking externally-facing Outlook Web Access (OWA) and Exchange Web Services (EWS) portals. With MailSniper, it is also possible to: perform password spraying attacks, enumerate internal domain names and usernames, locate inboxes with too broad permissions, and gather the Global Address List containing all email addresses of users at an organization from OWA and EWS. 7 | 8 | ### Categories 9 | * Exploitation 10 | * Network Attacks 11 | 12 | ### Black Hat sessions 13 | 14 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.blackhat.com/us-17/arsenal/schedule/#mailsniper-7907) 15 | 16 | ### Code 17 | https://github.com/dafthack/MailSniper 18 | 19 | ### Lead Developer 20 | Beau Bullock 21 | 22 | ### Social Media 23 | * [Twitter](https://twitter.com/dafthack) 24 | * [Company Website](https://blackhillsinfosec.com/) 25 | 26 | -------------------------------------------------------------------------------- /exploitation/rattler.md: -------------------------------------------------------------------------------- 1 | # Rattler 2 | 3 | ### Description 4 | Rattler is a tool that automates the identification of DLL's which can be used for DLL preloading attacks. 5 | Rattler enumerates an EXE's DLL's at runtime and provides a list of vulnerable DLL's which can be exploited for a preloading attack against the target application. 6 | 7 | ### Categories 8 | * Exploitation 9 | * Ethical Hacking 10 | * Vulnerability assessment 11 | 12 | ### Black Hat sessions 13 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 14 | 15 | ### Code 16 | https://github.com/sensepost/rattler 17 | 18 | ### Lead Developer 19 | Chris Le Roy - SensePost https://github.com/sensepost 20 | 21 | ### Social Media 22 | * [Twitter](https://twitter.com/brompwnie) 23 | * [Company Website](https://sensepost.com) 24 | 25 | -------------------------------------------------------------------------------- /forensics/inVtero.net.md: -------------------------------------------------------------------------------- 1 | # [inVtero.net](https://github.com/ShaneK2/inVtero.net) 2 | 3 | ## Description 4 | inVtero.net: A high speed (Gbps) Forensics, Memory integrity & assurance. Includes offensive & defensive memory capabilities. 5 | Find/Extract processes, hypervisors (including nested) in memory dumps using microarchitechture independent Virtual Machiene Introspection 6 | techniques 7 | 8 | Supports: VMWare (client/servers), XEN and physical systems (PAGEDUMP). 9 | 10 | #### Integrity 11 | Users can manage their own "golden images" of secure hashes used to ensure no byte slipps through the cracks 12 | of a forensic, reverse engineering, sandbox analysis or host integrity monitoring operation. 13 | 14 | We've recently added cloud hosted bitmaps and are expanding this to allow users to use the integrity funtionality without having to construct 15 | a database first. 16 | 17 | The block based integrity checks occur at a configurable size and will isolate very small code patches quickly. 18 | 19 | Integrity checking provides confidence to useres that they have analyzed "everything" and they have not wasted 20 | time looking in the wrong plaes. 21 | 22 | #### Memory Hacking 23 | An IronPython shell is able to use native type reflection that allwos for reading and writing physical memory dumps. Test a new 24 | kernel patch or improve inVtero itself. (e.g. edit _EPROCESS objects from python and write them back to a VM image then resume 25 | exection to observe DMA style hacking with very easy scripts that map 1:1 to known symbol sources) 26 | 27 | Recent modules include a Gargoyle detection mechanism that uses the type information extracted from the systems to allow for 28 | an exhaustive verification of thread stack states that can detect the preseanse of RoP type _weird machienes_. 29 | 30 | #### Performance 31 | A goal of the project is to provide high quality assurace as quickly as possiable. To avoid the common pitfall of many debuggers 32 | and forensic platforms that are trivially compromised. 33 | 34 | ### Categories 35 | * Forensics 36 | * Debugger (Passive memory debugging/hacking) 37 | * Malware HIDS (Integrity Monitoring) 38 | * Reverse Engineering 39 | 40 | ### Black Hat sessions 41 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 42 | 43 | ### Code 44 | https://github.com/ShaneK2/inVtero.net 45 | 46 | ### Lead Developer 47 | K2 - https://github.com/K2 48 | 49 | ### Social Media 50 | * [Twitter](https://twitter.com/ktwo_K2) 51 | ---- 52 | ![In Vtero](https://raw.githubusercontent.com/ShaneK2/inVtero.net/gh-pages/images/inVtero.jpg) 53 | -------------------------------------------------------------------------------- /forensics/userline.md: -------------------------------------------------------------------------------- 1 | # Userline 2 | 3 | ### Description 4 | This tool automates the process of creating logon relations from MS Windows Security Events by showing a graphical relation among users domains, source and destination logons, session duration, who was logged on the systems in a given datetime, session hijacking, etc. It is also able to integrate with 3rd party tools and provides different output modes such as CSV output, Neo4j, Timesketch, JSON, SQLite, Gephi and Graphviz. 5 | 6 | ### Categories 7 | * Data Forensics 8 | * Incident Response 9 | 10 | ### Black Hat sessions 11 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 12 | 13 | ### Code 14 | https://github.com/thiber-org/userline 15 | 16 | ### Lead Developer 17 | Chema Garcia - https://github.com/sch3m4 18 | 19 | ### Social Media 20 | * [Twitter](https://twitter.com/sch3m4) 21 | * [Company Website](http://thiber.org) 22 | -------------------------------------------------------------------------------- /frameworks/defplorex.md: -------------------------------------------------------------------------------- 1 | # DefPloreX 2 | 3 | ### Description 4 | An Elasticsearch-based toolkit that our team uses for large-scale processing, analysis and visualization of e-crime records. In particular, we've successfully been applying DefPloreX to the analysis of deface records (e.g., from web compromises); hence its name, Def(acement) eXPlorer (DefPloreX). 5 | 6 | The full version of DefPloreX includes: 7 | 8 | * A thin wrapper to interact with an Elasticsearch backend (included in this release) 9 | * A distributed data-processing pipeline based on Celery (example included in this release) 10 | * An analysis component to extract information from deface web pages 11 | * A features extraction component to produce a compact, numerical and categorical representation of each web page 12 | * A statistical machine-learning component to automatically find groups of similar web pages 13 | 14 | The input to DefPloreX is a feed of URLs describing the deface web pages, 15 | including metadata such as the (declared) attacker name, timestamp, reason 16 | for hacking that page, and so on. Separately, we also have a mirror of the 17 | web pages at the time of compromise. 18 | 19 | ### Categories 20 | * OSINT 21 | * Frameworks 22 | 23 | ### Black Hat sessions 24 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 25 | 26 | ### Code 27 | https://github.com/trendmicro/defplorex 28 | 29 | ### Lead Developer(s) 30 | Federico Maggi - Trend Micro https://github.com/phretor 31 | Marco Balduzzi - Trend Micro https://github.com/embyte 32 | Vincenzo Ciancaglini - Trend Micro 33 | Lion Gu - Trend Micro 34 | Ryan Flores - Trend Micro 35 | 36 | 37 | ### Social Media 38 | * [Twitter](https://twitter.com/trendlabs) 39 | * [DefPloreX blog post](http://blog.trendmicro.com/trendlabs-security-intelligence/defplorex-machine-learning-toolkit-large-scale-ecrime-forensics/) 40 | -------------------------------------------------------------------------------- /frameworks/dradis_framework.md: -------------------------------------------------------------------------------- 1 | # Dradis Framework 2 | 3 | ### Description 4 | Dradis is an extensible, cross-platform, open source collaboration framework for InfoSec teams. It can import from over 19 popular tools, including Nessus, Qualys, Burp and AppScan. Started in 2007 (this is the 10th year anniversary!), Dradis Framework has been growing ever since (10,000+ commits in the last 12 months). Dradis is the best tool to combine the output of different scanners, add your manual findings and evidence and generate a report with one click. 5 | 6 | Free forever and open source. 7 | 8 | ### Categories 9 | * Collaboration 10 | * Reporting 11 | * Frameworks 12 | 13 | ### Black Hat sessions 14 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2014.svg)](https://www.toolswatch.org/2014/09/lineup-for-the-blackhat-arsenal-europe-2014/) 15 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2015.svg)](https://www.toolswatch.org/2015/06/black-hat-arsenal-usa-2015-speakers-lineup/) 16 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2016.svg)](https://www.blackhat.com/us-16/arsenal.html#dradis-framework) 17 | [![Arsenal](https://rawgithub.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 18 | 19 | 20 | ### Code 21 | https://github.com/dradis/dradis-ce 22 | 23 | ### Lead Developers 24 | * Daniel Martin - Security Roots https://github.com/etdsoft 25 | * Xavi Vila - Security Roots https://github.com/dormi 26 | * Aaron Manaloto - Security Roots https://github.com/aapomm 27 | 28 | ### Social Media 29 | * [Forum](http://discuss.dradisframework.org) 30 | * [Twitter](https://twitter.com/dradisfw) 31 | * [Website](http://dradisframework.org/ce/?utm_source=github&utm_medium=web&utm_campaign=arsenal-tools) 32 | -------------------------------------------------------------------------------- /frameworks/kubebot.md: -------------------------------------------------------------------------------- 1 | # Kubebot 2 | 3 | ### Description 4 | Kubebot is an automated scalable security testing framework based on a microservice architecture. Requests are sent to an API server which then orchestrates running the tools as Docker containers on a Kubernetes (K8S) backend. These requests are asynchronous i.e. they get dropped in a queue which are then picked up by Subscription workers. The subscription workers start the job of running the tools. The results of running those tools are diff'ed and only the changes are sent back to the fronend. 5 | 6 | Kubebot uses Slack as the frontend - as a way to send API requests but this can be extended into different frontends as well. 7 | 8 | Kubebot also gives the flexibility of setting up scheduled job runs using the K8S cronjob. 9 | 10 | 11 | ### Categories 12 | * Frameworks 13 | * Security Testing 14 | * BugBounty 15 | * Automation 16 | * Containers 17 | 18 | 19 | ### Black Hat sessions 20 | [![Arsenal](https://rawgithub.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 21 | 22 | 23 | ### Code 24 | https://github.com/anshumanbh/kubebot 25 | 26 | 27 | ### Lead Developer 28 | Anshuman Bhartiya - anshumanbh https://github.com/anshumanbh 29 | 30 | ### Social Media 31 | * [Twitter](https://twitter.com/anshuman_bh) 32 | * [DevSecOps](https://github.com/devsecops) 33 | -------------------------------------------------------------------------------- /hardening/lynis.md: -------------------------------------------------------------------------------- 1 | # Lynis 2 | 3 | ### Description 4 | Lynis is a security auditing tool for sytems running Linux, macOS, BSD, and other flavors of Unix. The tool performs an in-depth security scan and runs on the system itself. The primary goal is to test security defenses and provide tips for further system hardening. It will also scan for general system information, vulnerable software packages, and possible configuration issues. As Lynis is written in POSIX shell script, it is light on resources and low on dependencies. This makes the tool great for putting it in build pipelines, running it as part of a forensics task or as penetration testing tool during an assignment. 5 | 6 | ### Categories 7 | * Hardening 8 | * Vulnerability assessment 9 | 10 | ### Black Hat sessions 11 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2014.svg)](https://www.toolswatch.org/2014/09/lineup-for-the-blackhat-arsenal-europe-2014/) 12 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2015.svg)](https://www.toolswatch.org/2015/06/black-hat-arsenal-usa-2015-speakers-lineup/) 13 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2016.svg)](http://www.toolswatch.org/2016/09/the-black-hat-arsenal-europe-2016-line-up/) 14 | 15 | ### Popularity 16 | 17 | ToolsWatch Annual Best Free/Open Source Security Tool Survey: 18 | 19 | [![6th](https://www.toolswatch.org/badges/toptools/2013.svg)](https://www.toolswatch.org/2013/12/2013-top-security-tools-as-voted-by-toolswatch-org-readers) 20 | [![3rd](https://www.toolswatch.org/badges/toptools/2014.svg)](https://www.toolswatch.org/2015/01/2014-top-security-tools-as-voted-by-toolswatch-org-readers) 21 | [![2nd](https://www.toolswatch.org/badges/toptools/2015.svg)](https://www.toolswatch.org/2016/02/2015-top-security-tools-as-voted-by-toolswatch-org-readers) 22 | [![10th](https://www.toolswatch.org/badges/toptools/2016.svg)](https://www.toolswatch.org/2017/02/2016-top-security-tools-as-voted-by-toolswatch-org-readers) 23 | 24 | ### Code 25 | https://github.com/CISOfy/lynis 26 | 27 | ### Lead Developer 28 | Michael Boelen - CISOfy https://github.com/CISOfy 29 | 30 | ### Social Media 31 | * [Twitter](https://twitter.com/mboelen) 32 | * [Project page](https://cisofy.com/lynis/) 33 | -------------------------------------------------------------------------------- /hardware_iot/.keep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whid-injector/blackhat-arsenal-tools/ef013459fd21b22ff63bd9c9a351d30389c47e4a/hardware_iot/.keep -------------------------------------------------------------------------------- /hardware_iot/WHID.md: -------------------------------------------------------------------------------- 1 | # WHID Injector 2 | 3 | ### Description 4 | Since the first public appearance of HID Attacks, many awesome researches, tools and devices have been released. 5 | However, Offensive Security folks were always seeking a cheap and dedicated hardware that could be controlled remotely (i.e. over WiFi or BT). 6 | This is how WHID Injector was born. 7 | WHID stands for WiFi-HID injector, it is an USB-Rubberducky / Bad-USB on steroids, designed to fulfill RedTeamers needs during their engagements. 8 | Based on an Atmega 32u4 (i.e. Keyboard, mouse and serial emulation) and a ESP-12 (i.e. Wifi AP/Client), It can be easily controlled over the WiFi network and potentially bypass air-gapped environments. 9 | 10 | ### Categories 11 | * Hardware IoT 12 | * RedTeam 13 | 14 | ### Black Hat sessions 15 | 16 | [![Black Hat Arsenal EU](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.toolswatch.org/2017/09/black-hat-arsenal-europe-2017-lineup/) 17 | 18 | ### Code 19 | https://github.com/whid-injector/WHID 20 | 21 | ### Lead Developer(s) 22 | Luca Bongiorni - https://twitter.com/LucaBongiorni 23 | 24 | Corey Harding - https://twitter.com/exploit_agency 25 | 26 | ### Social Media 27 | * [Medium](https://medium.com/@LucaBongiorni) 28 | * [GitHub](https://github.com/whid-injector) 29 | -------------------------------------------------------------------------------- /ics_scada/.keep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whid-injector/blackhat-arsenal-tools/ef013459fd21b22ff63bd9c9a351d30389c47e4a/ics_scada/.keep -------------------------------------------------------------------------------- /malware_research/.keep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whid-injector/blackhat-arsenal-tools/ef013459fd21b22ff63bd9c9a351d30389c47e4a/malware_research/.keep -------------------------------------------------------------------------------- /malware_research/ProcInfo.md: -------------------------------------------------------------------------------- 1 | # Proc Info Lib 2 | 3 | ### Description 4 | Proc Info is an open-source, user-mode, process library for macOS. It provides simple interface to retrieve detailed information about running processes, plus allows one to asynchronously monitor process creation & exit events. 5 | 6 | Using this library, one can track processes during [malware analysis](https://speakerdeck.com/patrickwardle/fruitfly-via-a-custom-c-and-c-server?slide=17) or during [bug hunting](https://speakerdeck.com/patrickwardle/defcon-2017-death-by-1000-installers-its-all-broken?slide=20). 7 | 8 | 9 | ### Categories 10 | * Malware Research 11 | * Exploitation 12 | * Hardening 13 | 14 | 15 | ### Black Hat sessions 16 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 17 | 18 | ### Code 19 | https://github.com/objective-see/ProcInfo
20 | https://github.com/objective-see/ProcInfoExample 21 | 22 | ### Lead Developer 23 | Patrick Wardle - Objective-See 24 | 25 | ### Social Media 26 | * [Twitter](https://twitter.com/patrickwardle) 27 | * [Company Website](https://objective-see.com) 28 | 29 | -------------------------------------------------------------------------------- /malware_research/floss.md: -------------------------------------------------------------------------------- 1 | # FireEye Labs Obfuscated String Solver (FLOSS) 2 | 3 | ### Description 4 | The FireEye Labs Obfuscated String Solver (FLOSS) is an open source tool that automatically detects, extracts, and decodes obfuscated strings in Windows Portable Executable (PE) files. Malware analysts, forensic investigators, and incident responders can use FLOSS to quickly extract sensitive strings to identify indicators of compromise (IOCs). Malware authors encode strings in their programs to hide malicious capabilities and impede reverse engineering. Even simple encoding schemes defeat the ‘strings’ tool and complicate static and dynamic analysis. FLOSS uses advanced static analysis techniques, such as emulation, to deobfuscate encoded strings. 5 | 6 | FLOSS is extremely easy to use and works against a large corpus of malware. It follows a similar invocation as the ‘strings’ tool. Users that understand how to interpret the strings found in a binary will understand FLOSS’s output. FLOSS extracts higher value strings, as strings that are obfuscated typically contain the most sensitive configuration resources – including C2 server addresses, names of dynamically resolved imports, suspicious file paths, and other IOCs. 7 | 8 | ### Categories 9 | * Malware analysis 10 | * Malware research 11 | * Reverse engineering 12 | 13 | ### Black Hat sessions 14 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2016.svg)](https://www.toolswatch.org/2016/06/the-black-hat-arsenal-usa-2016-remarkable-line-up/) 15 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2016.svg)](https://www.toolswatch.org/2016/09/the-black-hat-arsenal-europe-2016-line-up/) 16 | 17 | ### Code 18 | https://github.com/fireeye/flare-floss 19 | 20 | ### Lead Developers 21 | * William Ballenthin - @williballenthin 22 | * Moritz Raabe - @m_r_tz 23 | 24 | ### Social Media 25 | * [@williballenthin](https://twitter.com/williballenthin) 26 | * [@m_r_tz](https://twitter.com/m_r_tz) 27 | * [FireEye Website](https://www.fireeye.com/) 28 | 29 | -------------------------------------------------------------------------------- /malware_research/sniffMK.md: -------------------------------------------------------------------------------- 1 | # SniffMK 2 | 3 | ### Description 4 | SniffMK is a simple utility designed to sniff mouse and keyboard events on macOS. It is based on code from Amit Singh's [website](http://osxbook.com) 5 | 6 | SniffMK was designed to facilitate malware analysis (specifically OSX/FruitFly which can simulate both mouse and keyboard events) See BlackHat/DefCon [slides](https://speakerdeck.com/patrickwardle/fruitfly-via-a-custom-c-and-c-server?slide=18) for details. 7 | 8 | 9 | ### Categories 10 | * Malware Research 11 | 12 | 13 | ### Black Hat sessions 14 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 15 | 16 | ### Code 17 | https://github.com/objective-see/sniffMK 18 | 19 | ### Lead Developer 20 | Patrick Wardle - Objective-See 21 | 22 | ### Social Media 23 | * [Twitter](https://twitter.com/patrickwardle) 24 | * [Company Website](https://objective-see.com) 25 | 26 | -------------------------------------------------------------------------------- /mobile_hacking/androidtamer.md: -------------------------------------------------------------------------------- 1 | # Android Tamer 2 | 3 | ### Description 4 | Android Tamer project provides various resources for Android mobile application and device security reviews. Be it pentesting, malware analysis, reverse engineering or device assessment. We strive to solve some of the major pain points in setting up the testing environments by providing various ways and means to perform the task in most effortless manner possible. 5 | 6 | ### Categories 7 | * Mobile Security 8 | * Vulnerability assessment 9 | * Penetration Testing 10 | 11 | ### Black Hat sessions 12 | [![Arsenal-2015](https://www.toolswatch.org/badges/arsenal/2015.svg)](https://www.toolswatch.org/2015/10/black-hat-arsenal-europe-2015-line-up/) 13 | [![Arsenal-2016](https://www.toolswatch.org/badges/arsenal/2016.svg)](https://www.toolswatch.org/2016/06/the-black-hat-arsenal-usa-2016-remarkable-line-up/) 14 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 15 | 16 | ### Code 17 | https://github.com/AndroidTamer/AndroidTamer 18 | 19 | ### Lead Developers 20 | * Anant Shrivastava - https://github.com/Anantshri 21 | * Chandrapal - https://github.com/Chan9390 22 | * Rahul Binjve - https://github.com/c0dist 23 | 24 | ### Social Media 25 | * [Official Website](https://androidtamer.com/) 26 | * [Twitter](https://twitter.com/AndroidTamer) 27 | * [Facebook](https://facebook.com/AndroidTamer) 28 | -------------------------------------------------------------------------------- /mobile_hacking/badintent.md: -------------------------------------------------------------------------------- 1 | # BadIntent 2 | 3 | ### Description 4 | BadIntent integrates Android's Binder framework with Burp Suite. It enables pentesters to use the typical Burp Suite workflow and all of its tools and extensions. BadIntent helps in identifying vulnerabilities, makes AIDL-attacks more easy to perform and assists in attacks against backends. Since Binder transactions are hooked, it is possible to analyze, interrupt, modify and repeat most communication channels and exchanged messages. This can be used for reverse engineering and obfuscation bypass activities. 5 | 6 | ### Categories 7 | * Mobile Security 8 | * Penetration Testing 9 | * Reverse Engineering 10 | 11 | ### Black Hat sessions 12 | [![Arsenal US 2017](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.blackhat.com/us-17/arsenal/schedule/#badintent---integrating-android-with-burp-8044) 13 | 14 | 15 | ### Code 16 | https://github.com/mateuszk87/BadIntent 17 | 18 | ### Lead Developer 19 | Mateusz Khalil - https://github.com/mateuszk87/ 20 | 21 | ### Social Media 22 | * [Twitter](https://twitter.com/mateuszk87) 23 | * [LinkedIn](https://linkedin.com/in/mateusz-khalil-2bb885a0) 24 | 25 | 26 | -------------------------------------------------------------------------------- /mobile_hacking/kwetza.md: -------------------------------------------------------------------------------- 1 | # Kwetza 2 | 3 | ### Description 4 | Kwetza is a tool that allows you to infect an existing Android application with a Meterpreter payload. Kwetza allows you to infect Android applications using the target application's default permissions or inject additional permissions to gain additional functionality. 5 | 6 | 7 | ### Categories 8 | * Mobile Security 9 | * Mobile Malware 10 | 11 | ### Black Hat sessions 12 | 13 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 14 | 15 | ### Code 16 | https://github.com/sensepost/kwetza 17 | 18 | ### Lead Developer 19 | Chris Le Roy - SensePost https://github.com/sensepost 20 | 21 | ### Social Media 22 | * [Twitter](https://twitter.com/brompwnie) 23 | * [Company Website](https://sensepost.com/) 24 | 25 | -------------------------------------------------------------------------------- /mobile_hacking/mobsf.md: -------------------------------------------------------------------------------- 1 | # MobSF 2 | 3 | ### Description 4 | Mobile Security Framework (MobSF) is an intelligent, all-in-one open source mobile application (Android/iOS/Windows) automated pen-testing framework capable of performing static and dynamic analysis. It can be used for effective and fast security analysis of Android, iOS and Windows mobile Applications and supports both binaries (APK, IPA & APPX ) and zipped source code. MobSF can also perform Web API Security testing with it's API Fuzzer that can do Information Gathering, analyze Security Headers, identify Mobile API specific vulnerabilities like XXE, SSRF, Path Traversal, IDOR, and other logical issues related to Session and API Rate Limiting. 5 | 6 | ### Categories 7 | * Mobile Security 8 | * SAST & DAST 9 | * Malware Analysis 10 | * Web API Security 11 | * Vulnerability assessment 12 | 13 | ### Black Hat sessions 14 | 15 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2015.svg)](https://www.toolswatch.org/2015/03/black-hat-asia-2015-arsenal-speaker-list/) 16 | 17 | 18 | ### Code 19 | https://github.com/MobSF/Mobile-Security-Framework-MobSF/ 20 | 21 | ### Lead Developer 22 | Ajin Abraham - OpenSecurity https://github.com/ajinabraham 23 | 24 | ### Social Media 25 | * [Twitter](https://twitter.com/ajinabraham) 26 | * [LinkedIn](https://in.linkedin.com/in/ajinabraham) 27 | * [Website](https://ajinabraham.com/) 28 | 29 | 30 | -------------------------------------------------------------------------------- /mobile_hacking/needle.md: -------------------------------------------------------------------------------- 1 | # Needle 2 | 3 | ### Description 4 | 5 | Needle is the MWR's iOS Security Testing Framework, released at Black Hat USA in August 2016. It is an open source modular framework which aims to streamline the entire process of conducting security assessments of iOS applications, and acts as a central point from which to do so. Given its modular approach, Needle is easily extensible and new modules can be added in the form of python scripts. Needle is intended to be useful not only for security professionals, but also for developers looking to secure their code. A few examples of testing areas covered by Needle include: data storage, inter-process communication, network communications, static code analysis, hooking and binary protections. The only requirement in order to run Needle effectively is a jailbroken device. 6 | 7 | With the release of Needle v1.0.0, we provided a major overhaul of its core and the introduction of a new native agent, written entirely in Objective-C. The new NeedleAgent is an open source iOS app complementary to Needle, that will allow it to programmatically perform tasks natively on the device, eliminating the need for third party tools. 8 | 9 | ### Categories 10 | 11 | * Mobile Security 12 | * Vulnerability assessment 13 | * Penetration Testing 14 | 15 | ### Black Hat sessions 16 | 17 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2016.svg)](https://www.toolswatch.org/2016/06/the-black-hat-arsenal-usa-2016-remarkable-line-up/) 18 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2016.svg)](https://www.toolswatch.org/2016/09/the-black-hat-arsenal-europe-2016-line-up/) 19 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 20 | 21 | ### Code 22 | 23 | * https://github.com/mwrlabs/needle 24 | * https://github.com/mwrlabs/needle-agent 25 | 26 | ### Lead Developer 27 | 28 | Marco Lancini - https://github.com/marco-lancini 29 | 30 | ### Social Media 31 | 32 | * [Twitter](https://twitter.com/mwrneedle) 33 | * [Company Website](https://labs.mwrinfosecurity.com/) 34 | -------------------------------------------------------------------------------- /network_attacks/crowbar.md: -------------------------------------------------------------------------------- 1 | # Crowbar 2 | 3 | ### Description 4 | Crowbar (formally known as Levye) is a brute forcing tool that can be used during penetration tests. It was developed to brute force some protocols in a different manner according to other popular brute forcing tools. As an example, while most brute forcing tools use username and password for SSH brute force, Crowbar uses SSH key(s). This allows for any private keys that have been obtained during penetration tests, to be used to attack other SSH servers. 5 | 6 | Currently Crowbar supports: 7 | 8 | OpenVPN 9 | Remote Desktop Protocol (RDP) with NLA support 10 | SSH private key authentication 11 | VNC key authentication 12 | 13 | 14 | ### Categories 15 | * Network Attacks 16 | 17 | 18 | ### Black Hat sessions 19 | [![ToolsWatch 2014 Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2014.svg)](https://www.blackhat.com/us-14/arsenal.html#Alkan) 20 | [![ToolsWatch 2015 Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2015.svg)](http://www.blackhat.com/us-15/arsenal.html#heybe-pentest-automation-toolkit) 21 | 22 | 23 | ### Code 24 | https://github.com/galkan/crowbar 25 | 26 | 27 | ### Lead Developer 28 | * Gokhan Alkan - https://github.com/galkan 29 | 30 | 31 | ### Social Media 32 | * [Twitter](https://twitter.com/gokhan_alkn) 33 | -------------------------------------------------------------------------------- /network_attacks/delta.md: -------------------------------------------------------------------------------- 1 | # DELTA 2 | 3 | ### Description 4 | DELTA is a first SDN security evaluation framework, which has two primary functions; (1) It can automatically instantiate attack cases against SDN elements across diverse environments, and (2) it can assist in uncovering unknown security problems within an SDN deployment by using a blackbox fuzzing technique. For replaying attack cases, our framework has a number of test cases against popular SDN controllers and all SDN-enabled switch devices (software and hardware). Also, our framework provides a protocol-aware fuzzer for OpenFlow, which is a de-facto standard protocol of SDN, in order to find new vulnerabilities in SDNs. 5 | 6 | ### Categories 7 | * Network Attacks 8 | * Vulnerability assessment 9 | * Frameworks 10 | 11 | ### Black Hat sessions 12 | [![ToolsWatch 2017 Arsenal](https://rawgithub.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.blackhat.com/us-17/arsenal/schedule/#delta-sdn-security-evaluation-framework-7466) 13 | 14 | ### Code 15 | https://github.com/OpenNetworkingFoundation/DELTA 16 | 17 | ### Lead Developers 18 | * Seungsoo Lee [seungsoo-lee] - https://github.com/seungsoo-lee 19 | * Jinwoo Kim [jinwoookim] - https://github.com/jinwoookim 20 | 21 | ### Social Media 22 | * [Laboratory Website](http://nss.kaist.ac.kr/) 23 | -------------------------------------------------------------------------------- /network_attacks/det.md: -------------------------------------------------------------------------------- 1 | # DET 2 | 3 | ### Description 4 | DET aims to provide a framework to assist with exfiltrating data using either one or several channels. Social media has become extremely popular in recent attacks such as HammerToss, campaign uncovered by FireEye in July 2015. Several tools are also publicly available allowing you to remotely access computers through "legitimate" services such as Gmail (GCat) or Twitter (Twittor). Often gaining access to a network is just the first step for a targeted attacker. Once inside, the goal is to go after sensitive information and exfiltrate it to servers under their control. To prevent this from occuring, a whole industry has popped up with the aim of stopping exfiltration attacks. However, often these are expensive and rarely work as expected. With this in mind, I created the Data Exfiltration Toolkit (DET) to help both penetration testers testing deployed security devices and those admins who've installed and configured them, to ensure they are working as expected and detecting when sensitive data is leaving the network. 5 | 6 | 7 | ### Categories 8 | * Network Attacks 9 | * Frameworks 10 | 11 | ### Black Hat sessions 12 | [![ToolsWatch 2016 Arsenal](https://rawgithub.com/toolswatch/badges/master/arsenal/2016.svg)](https://www.blackhat.com/us-16/arsenal.html#det) 13 | 14 | ### Code 15 | https://github.com/PaulSec/DET 16 | 17 | ### Lead Developer 18 | * Paul Amar (@PaulWebSec) - https://github.com/PaulSec 19 | 20 | ### Social Media 21 | * [@PaulWebSec](https://twitter.com/PaulWebSec) 22 | -------------------------------------------------------------------------------- /network_attacks/eaphammer.md: -------------------------------------------------------------------------------- 1 | # EAPHammer 2 | 3 | ### Description 4 | EAPHammer is a toolkit for performing targeted evil twin attacks against WPA2-Enterprise networks. It is designed to be used in full scope wireless assessments and red team engagements. As such, focus is placed on providing an easy-to-use interface that can be leveraged to execute powerful wireless attacks with minimal manual configuration. To illustrate how fast this tool is, here's an example of how to setup and execute a credential stealing evil twin attack against a WPA2-TTLS network in just two commands: 5 | 6 | # generate certificates 7 | ./eaphammer --cert-wizard 8 | 9 | # launch attack 10 | ./eaphammer -i wlan0 --channel 4 --auth ttls --wpa 2 --essid CorpWifi --creds 11 | 12 | EAPHammer is also equipped to perform two new attacks [first presented at DEF CON 25](https://media.defcon.org/DEF%20CON%2025/DEF%20CON%2025%20presentations/DEFCON-25-Gabriel-Ryan-The-Black-Art-of-Wireless-Post-Exploitation-UPDATED.pdf): 13 | - __Hostile Portal Attacks:__ Steal Active Directory credentials without direct network access 14 | - __Indirect Wireless Pivots:__ Bypass port-based access controls using rogue access point attacks 15 | 16 | Leverages a [lightly modified](https://github.com/s0lst1c3/hostapd-eaphammer) version of [hostapd-wpe](https://github.com/opensecurityresearch/hostapd-wpe) (shoutout to [Brad Anton](https://github.com/brad-anton) for creating the original), _dnsmasq_, [Responder](https://github.com/SpiderLabs/Responder), and _Python 2.7_. 17 | 18 | ### Categories 19 | * Wireless 20 | * Red Team 21 | * Rogue Access Point Attacks 22 | * WPA-EAP/WPA2-EAP 23 | 24 | ### Black Hat sessions 25 | [![Black Hat Arsenal](https://cdn.rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.blackhat.com/us-17/arsenal.html#eaphammer) 26 | 27 | ### Code 28 | https://github.com/s0lst1c3/eaphammer 29 | 30 | ### Lead Developer 31 | Gabriel Ryan - s0lst1c3 https://github.com/s0lst1c3 32 | 33 | ### Social Media 34 | * [Twitter](https://twitter.com/s0lst1c3) 35 | * [LinkedIn](linkedin.com/in/ms08067) 36 | * [Blog Posts: GDS Labs](https://blog.gdssecurity.com/labs/author/gryan) 37 | * [Blog Posts: Personal](http://solstice.me/about/) 38 | ---- 39 | -------------------------------------------------------------------------------- /network_attacks/egression.md: -------------------------------------------------------------------------------- 1 | # Egression 2 | 3 | ### Description 4 | Egression is a utility for testing the data loss prevention controls on a corporate network. 5 | 6 | Many tools of this type work by testing outbound port connections alone, but Egression works by actually uploading a sensitive file to the internet in a number of ways. 7 | 8 | ### Categories 9 | * Network Attacks 10 | * Vulnerability assessment 11 | * Utilities 12 | 13 | 14 | ### Black Hat sessions 15 | [![ToolsWatch 2017 Arsenal](https://rawgithub.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.blackhat.com/us-17/arsenal/schedule/index.html) 16 | 17 | 18 | ### Code 19 | https://github.com/danielmiessler/egression 20 | 21 | 22 | ### Lead Developer 23 | * Daniel Miessler [@danielmiessler] - https://github.com/danielmiessler 24 | 25 | 26 | ### Social Media 27 | * [Website](https://danielmiessler.com/) 28 | * [Twitter](https://twitter.com/danielmiessler) 29 | * [Podcast](https://danielmiessler.com/podcast/) 30 | * [Linkedin](www.linkedin.com/in/danielmiessler) 31 | -------------------------------------------------------------------------------- /network_attacks/flashlight.md: -------------------------------------------------------------------------------- 1 | # Flashlight 2 | 3 | ### Description 4 | Pentesters spend too much time during information gathering phase. Flashlight (Fener) provides services to scan network/ports and gather information rapidly on target networks. So Flashlight should be the choice to automate discovery step during a penetration test. In this article, usage of Flashligh application will be explained. 5 | 6 | 7 | ### Categories 8 | * Network Attacks 9 | 10 | 11 | ### Black Hat sessions 12 | [![ToolsWatch 2014 Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2014.svg)](https://www.blackhat.com/us-14/arsenal.html#Alkan) 13 | [![ToolsWatch 2015 Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2015.svg)](http://www.blackhat.com/us-15/arsenal.html#heybe-pentest-automation-toolkit) 14 | 15 | 16 | ### Code 17 | https://github.com/galkan/flashlight 18 | 19 | 20 | ### Lead Developer 21 | * Gokhan Alkan - https://github.com/galkan 22 | 23 | 24 | ### Social Media 25 | * [Twitter](https://twitter.com/gokhan_alkn) 26 | -------------------------------------------------------------------------------- /network_attacks/gr-lora.md: -------------------------------------------------------------------------------- 1 | # gr-lora 2 | 3 | ### Description 4 | gr-lora is an open-source GNU Radio/Software Defined Radio implementation of the LoRa radio physical layer, as derived from the author's black box analysis of the protocol. gr-lora empowers developers and security researchers to think beyond packet sniffing and injection by exposing LoRa's physical layer in software. 5 | 6 | LoRa is a wireless networking technology that can be thought of as high-endurance cellular for IoT and embedded devices. It utilizes a unique Chirp Spread Spectrum modulation and layered encoding scheme to achieve remarkable range while remaining frugal on power. 7 | 8 | PHYs have long been taken for granted, however research such as Travis Goodspeed's packet-in-packet and Dartmouth/River Loop Security's 802.15.4 chipset fingerprinting have demonstrated that physical layer abuse can have severe consequences further up the stack. As a closed protocol, LoRa has only been exposed via layer 2+ interfaces; thus security researchers and developers have lacked the necessary tools to audit and analyze the security and robustness of its PHY. 9 | 10 | With its flexible and open architecture, gr-lora gives security researchers the capability required to explore this nascent protocol from its most fundamental layer. 11 | 12 | For more information on the LoRa PHY and Matt's blind signal analysis process: 13 | * 33c3 Video: https://media.ccc.de/v/33c3-7945-decoding_the_lora_phy 14 | * PoC||GTFO 0x13: https://www.alchemistowl.org/pocorgtfo/pocorgtfo13.pdf 15 | 16 | ### Categories 17 | * Network Attacks 18 | * Wireless 19 | * Reverse Engineering 20 | * Hardware/IoT 21 | 22 | ### Black Hat sessions 23 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.blackhat.com/us-17/arsenal/schedule/index.html#gr-lora-an-open-source-sdr-implementation-of-the-lora-phy-8045) 24 | 25 | ### Code 26 | https://github.com/BastilleResearch/gr-lora 27 | 28 | ### Lead Developer 29 | Matt Knight - https://github.com/matt-knight 30 | 31 | ### Social Media 32 | * [Twitter](https://twitter.com/embeddedsec) 33 | * [Company Website](https://bastille.net) 34 | 35 | ---- 36 | 37 | -------------------------------------------------------------------------------- /network_attacks/yasuo.md: -------------------------------------------------------------------------------- 1 | # Yasuo 2 | 3 | ### Description 4 | Yasuo is a ruby script that scans for vulnerable 3rd-party web applications. 5 | 6 | While working on a network security assessment (internal, external, red team gigs etc.), we often come across vulnerable 3rd-party web applications or web front-ends that allow us to compromise the remote server by exploiting publicly known vulnerabilities. Some of the common & favorite applications are Apache Tomcat administrative interface, JBoss jmx-console, Hudson Jenkins and so on. 7 | 8 | If you search through Exploit-db, there are over 10,000 remotely exploitable vulnerabilities that exist in tons of web applications/front-ends and could allow an attacker to completely compromise the back-end server. These vulnerabilities range from RCE to malicious file uploads to SQL injection to RFI/LFI etc. 9 | 10 | Yasuo is built to quickly scan the network for such vulnerable applications thus serving pwnable targets on a silver platter. 11 | 12 | ### Categories 13 | * Network Attacks 14 | * Vulnerability assessment 15 | * Frameworks 16 | 17 | 18 | ### Black Hat sessions 19 | [![ToolsWatch 2016 Arsenal](https://www.toolswatch.org/badges/arsenal/2016.svg)](https://www.blackhat.com/eu-16/arsenal.html) 20 | [![ToolsWatch 2017 Arsenal](https://rawgithub.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.blackhat.com/us-17/arsenal/schedule/index.html#yasuo-7909) 21 | 22 | 23 | ### Code 24 | https://github.com/0xsauby/yasuo 25 | 26 | 27 | ### Lead Developer 28 | * Saurabh Harit [0xsauby] - https://github.com/0xsauby 29 | 30 | 31 | ### Social Media 32 | * [Twitter](https://twitter.com/0xsauby) 33 | * [Linkedin](https://www.linkedin.com/in/saurabhharit/) 34 | -------------------------------------------------------------------------------- /network_defense/lulu.md: -------------------------------------------------------------------------------- 1 | # LuLu 2 | 3 | ### Description 4 | LuLu is the free open-source macOS firewall that aims to block unauthorized (outgoing) network traffic. 5 |

6 | 7 | Full details and usage instructions can be found [here](https://objective-see.com/products/lulu.html). 8 | 9 | 10 | ### Categories 11 | * Network Defense 12 | * Malware Research 13 | 14 | 15 | ### Black Hat sessions 16 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 17 | 18 | ### Code 19 | https://github.com/objective-see/LuLu 20 | 21 | ### Lead Developer 22 | Patrick Wardle - Objective-See 23 | 24 | ### Social Media 25 | * [Twitter](https://twitter.com/patrickwardle) 26 | * [Company Website](https://objective-see.com) 27 | 28 | -------------------------------------------------------------------------------- /network_defense/sitch.md: -------------------------------------------------------------------------------- 1 | # SITCH 2 | 3 | ### Description 4 | 5 | SITCH is a distributed cellular anomaly detection and countersurveillance platform. 6 | 7 | SITCH is comprised of a number of sensors and a central service. Sensors are made from easily sourced hardware, and the cost of required components is around $150 each. All information produced by the sensors is aggregated in the service, which handles alerting and data retention. 8 | 9 | Slides and supporting assets from the Black Hat Arsenal talk can be found [here](https://github.com/sitch-io/blackhat_arsenal_2017). 10 | 11 | ### Categories 12 | 13 | * Network Defense 14 | 15 | ### Black Hat sessions 16 | 17 | [![Arsenal 2017](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 18 | 19 | ### Code 20 | 21 | https://github.com/sitch-io 22 | 23 | ### Lead Developer 24 | 25 | Ash Wilson - https://github.com/ashmastaflash 26 | 27 | ### Social Media 28 | 29 | * [Twitter](https://twitter.com/sitch_io) 30 | * [Project Website](https://sitch.io/) 31 | -------------------------------------------------------------------------------- /network_defense/sweetsecurity.md: -------------------------------------------------------------------------------- 1 | # Sweet Security 2 | 3 | ### Description 4 | Sweet Security is a suite of tools which allows users to monitor local network traffic from a single device as small as a raspberry pi. 5 | 6 | __Client/Sensor__ 7 | - Bro IDS to monitor network traffic 8 | - (Optional) Critical Stack Intel to add threat intelligence feeds into Bro 9 | - Logstash to collect and normalize all Bro logs 10 | - Sweet Security code to scan the network and ARP spoof all local network traffic through the device 11 | 12 | __Server__ 13 | - Elasticsearch to store logstash and sweet security data 14 | - Kibana to visualize logs/data 15 | - Sweet Security code to search log data for interesting events 16 | - Apache/Flask web app to manage environment 17 | 18 | * More information can be found in the Sweet Security wiki on the Github repository. 19 | * Slides from the public presentations are available on the Github repository. 20 | 21 | ### Categories 22 | * Network Defense 23 | * Forensics 24 | * Incident Response 25 | 26 | 27 | ### Black Hat sessions 28 | [![Arsenal 2017](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 29 | 30 | 31 | ### Code 32 | https://github.com/travisfsmith/sweetsecurity 33 | 34 | ### Lead Developer 35 | Travis Smith 36 | 37 | ### Social Media 38 | * [Twitter](https://twitter.com/mrtrav) 39 | ---- 40 | 41 | 42 | 43 | -------------------------------------------------------------------------------- /network_defense/zenected.md: -------------------------------------------------------------------------------- 1 | # Zenected Threat Defense VPN 2 | 3 | ### Description 4 | __Zenected__ is a cloud based security threat protection service. It’s delivered through a set of pre-configured services. Once a user connects to the __Zenected__, that user’s network traffic is filtered to keep the bad things out (e.g. phishing sites, malware). The only thing this a user has to configure on the endpoint device (be it a mobile device, a desktop or laptop or IoT device) is a VPN connection. 5 | 6 | All services are updated every hour with a new set of threat indicators prepared by Perun Works. 7 | 8 | __Zenected__ is easy to manage. It uses a web front-end for administrators to manage your instance. An administrator user can: 9 | - manage __Zenected__ users including adding more admin users 10 | - blacklist URLs or domain names that you don't want your users to access 11 | - whitelist URLs or domain names, that were identified as malicious but you still want your users to be able to get to them 12 | - review exception requests from users 13 | 14 | If you are a __Zenected__ end-user what you will like about it, is: 15 | - no need to install additional software on your mobile phone, tablet or laptop – __Zenected__ uses standard OS features build-in into all modern systems 16 | - if you encounter a certain resource blocked by the system, you can request an exception. Each exception is then reviewed by an administrator. 17 | 18 | For more info and resources visit: https://zenected.com 19 | 20 | ### Categories 21 | * Network Defense 22 | * Hardening 23 | 24 | 25 | ### Black Hat sessions 26 | [![Arsenal Asia 2017](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.toolswatch.org/2017/02/the-black-hat-arsenal-asia-2017-great-line-up/) 27 | 28 | 29 | ### Code 30 | https://github.com/perunworks/zenected 31 | 32 | ### Lead Developer 33 | Tomasz Jakubowski @ Perun Works https://github.com/perunworks 34 | 35 | ### Social Media 36 | * [Twitter](https://twitter.com/perunhimself) 37 | * [Facebook](https://www.facebook.com/Perun-Works-1605484713040277/) 38 | * [LinkedIn](https://www.linkedin.com/company-beta/10580623/) 39 | * [Company Website](https://www.perunworks.com/) 40 | ---- 41 | 42 | 43 | 44 | -------------------------------------------------------------------------------- /osint/.keep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whid-injector/blackhat-arsenal-tools/ef013459fd21b22ff63bd9c9a351d30389c47e4a/osint/.keep -------------------------------------------------------------------------------- /osint/datasploit.md: -------------------------------------------------------------------------------- 1 | # DataSploit - OSINT Framework 2 | 3 | [![ToolsWatch Best Tools](https://www.toolswatch.org/badges/toptools/2016.svg)](http://www.toolswatch.org/2017/02/2016-top-security-tools-as-voted-by-toolswatch-org-readers/) 4 | 5 | ### Description 6 | An #OSINT Framework to perform various recon techniques, aggregate all the raw data, and give data in multiple formats. 7 | 8 | ### Code 9 | https://github.com/datasploit/datasploit 10 | 11 | # Overview of the tool: 12 | * Performs OSINT on a domain / email / username / phone and find out information from different sources. 13 | * Correlates and collaborate the results, show them in a consolidated manner. 14 | * Tries to find out credentials, api-keys, tokens, subdomains, domain history, legacy portals, etc. related to the target. 15 | * Use specific script / launch automated OSINT for consolidated data. 16 | * Performs Active Scans on collected data. 17 | * Generates HTML, JSON reports along with text files. 18 | 19 | ### Categories 20 | * Open Source Intelligence 21 | * Penetration Testing 22 | * Threat Intelligence 23 | 24 | ### Presented At: 25 | [DEFCON 25 ReconVillage](http://reconvillage.org/) 26 | 27 | [DEFCON 24 Demolabs](https://www.defcon.org/html/defcon-24/dc-24-demolabs.html) 28 | 29 | [![Arsenal-2017-EU](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/09/black-hat-arsenal-europe-2017-lineup/) - EUROPE 30 | 31 | [![Arsenal-2017-US](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) - USA 32 | 33 | [![Arsenal-2017-ASIA](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/02/the-black-hat-arsenal-asia-2017-great-line-up/) - ASIA 34 | 35 | [![Arsenal-2016-EU](https://www.toolswatch.org/badges/arsenal/2016.svg)](http://www.toolswatch.org/2016/09/the-black-hat-arsenal-europe-2016-line-up/) - EUROPE 36 | 37 | [![Arsenal-2016-US](https://www.toolswatch.org/badges/arsenal/2016.svg)](http://www.toolswatch.org/2016/06/the-black-hat-arsenal-usa-2016-remarkable-line-up/) - USA 38 | 39 | ### Documentation 40 | https://datasploit.github.io/datasploit/ 41 | 42 | ### Lead Developers 43 | * Shubham Mittal - https://github.com/upgoingstar 44 | * Sudhanshu Chauhan - https://github.com/sudhanshu_c 45 | * Kunal Aggarwal - https://github.com/aggkunal 46 | 47 | ### Social Media 48 | * [Official Website](https://datasploit.github.io/datasploit/) 49 | * [Twitter](https://twitter.com/datasploit) 50 | * [Facebook](https://facebook.com/datasploit) -------------------------------------------------------------------------------- /phishing/spf.md: -------------------------------------------------------------------------------- 1 | # SPF - SpeedPhishing Framework 2 | 3 | ### Description 4 | SPF (SpeedPhish Framework) is a python tool designed to allow for quick recon and deployment of simple social engineering phishing exercises. 5 | 6 | ### Categories 7 | * Phishing 8 | * Frameworks 9 | 10 | ### Black Hat sessions 11 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2015.svg)](https://www.toolswatch.org/2015/06/black-hat-arsenal-usa-2015-speakers-lineup/) 12 | 13 | ### Code 14 | https://github.com/tatanus/SPF 15 | 16 | ### Lead Developer 17 | Adam Compton - https://github.com/tatanus 18 | 19 | ### Social Media 20 | * [Twitter](https://twitter.com/tatanus) 21 | -------------------------------------------------------------------------------- /red_team/legion.md: -------------------------------------------------------------------------------- 1 | # Legion 2 | 3 | ### Description 4 | At its core, Legion is a distributed computing application. It is written in python and designed from the ground up to fulfill various IT related needs. Whether you need a way to logically distribute large or complex commands across multiple systems, or if you need a way to remotely administer 1 or more other systems, Legion can help. Legion goes beyond a typical Master/Manager/Slave architecture and makes use of a MeshNetworking approach to help to dynamically route around failed nodes and networking issues. Additionally, it has the ability to allow remote shell access to any node as well as send individual commands to 1 or all of the nodes within the mesh. And of course all the communications are encrypted between the nodes. 5 | 6 | ### Categories 7 | * Red Team 8 | 9 | ### Black Hat sessions 10 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 11 | 12 | ### Code 13 | https://github.com/MooseDojo/Legion 14 | 15 | ### Lead Developers 16 | * Adam Compton - https://github.com/tatanus https://github.com/MooseDojo 17 | * Bill Harshbarger - https://github.com/bharshbarger https://github.com/MooseDojo 18 | 19 | ### Social Media 20 | * [Twitter](https://twitter.com/tatanus) 21 | -------------------------------------------------------------------------------- /red_team/shinobot.md: -------------------------------------------------------------------------------- 1 | # ShinoBOT Family 2 | 3 | ### Description 4 | ShinoBOT Family is a malware set to test the security solution / security posture of the organization. 5 | 6 | #### [ShinoBOT](https://shinobot.com) 7 | Backdoor simulator 8 | * customizable on-the-fly 9 | * C&C as a service 10 | * domain randomize (DGA) 11 | * command template 12 | 13 | #### [ShinoBOT Suite](http://shinosec.com/shinobotsuite/) 14 | APT simulator to perform a full scenario 15 | * the ShinoBOT embedded in the JPG file 16 | * decoy file 17 | * downloader / dropper 18 | * shortcut attack 19 | 20 | #### [ShinoLocker](http://shinolocker.com/) 21 | Ransomware Simulator 22 | * AES 128bit 23 | * Free key exchange (no BitCoin to decrypt the file) 24 | * customizable 25 | 26 | #### [ShinoBOT.ps1](http://shinobotps1.com/) 27 | * ShinoBOT powershell edition 28 | * "Fileless" malware 29 | 30 | ### Categories 31 | * Penetration Testing / Red Team 32 | 33 | ### Black Hat sessions 34 | 35 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2013.svg)](https://www.toolswatch.org/2013/06/announcement-blackhat-arsenal-usa-2013-selected-tools/) 36 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2014.svg)](https://www.toolswatch.org/2014/06/black-hat-usa-2014-arsenal-tools-speaker-list/) 37 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2015.svg)](https://www.toolswatch.org/2015/03/black-hat-asia-2015-arsenal-speaker-list/) 38 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2015.svg)](https://www.toolswatch.org/2015/06/black-hat-arsenal-usa-2015-speakers-lineup/) 39 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2016.svg)](https://www.toolswatch.org/2016/06/the-black-hat-arsenal-usa-2016-remarkable-line-up/) 40 | [![Arsenal](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](https://www.toolswatch.org/2016/03/black-hat-arsenal-asia-2016-speakers-line-up/) 41 | 42 | ### Code 43 | https://github.com/Sh1n0g1/ShinoBOT 44 | 45 | ### Lead Developer(s) 46 | Shota Shinogi (@Sh1n0g1) 47 | 48 | ### Social Media 49 | * [Twitter](https://twitter.com/Sh1n0g1) 50 | 51 | 52 | 53 | -------------------------------------------------------------------------------- /red_team/warberrypi.md: -------------------------------------------------------------------------------- 1 | # WarBerryPi 2 | 3 | ### Description 4 | WarBerryPi was built to be used as a hardware implant during red teaming scenarios where we want to obtain as much information as possible in a short period of time with being as stealth as possible. Just find a network port and plug it in. The scripts have been designed in a way that the approach is targeted to avoid noise in the network that could lead to detection and to be as efficient as possible. The WarBerry script is a collection of scanning tools put together to provide that functionality. 5 | 6 | ### Categories 7 | * Red Teaming 8 | * Hardware Implant 9 | 10 | ### Black Hat sessions 11 | 12 | [![Black Hat Arsenal USA ](https://www.toolswatch.org/badges/arsenal/2016.svg)](https://www.toolswatch.org/2016/06/the-black-hat-arsenal-usa-2016-remarkable-line-up/) 13 | [![Black Hat Europe](https://www.toolswatch.org/badges/arsenal/2016.svg)](https://www.toolswatch.org/2016/09/the-black-hat-arsenal-europe-2016-line-up/) 14 | 15 | ### Popularity 16 | 17 | [![ToolsWatch Best Tools](https://www.toolswatch.org/badges/toptools/2016.svg)](https://www.toolswatch.org/2017/02/2016-top-security-tools-as-voted-by-toolswatch-org-readers/) 18 | 19 | ### Code 20 | https://github.com/secgroundzero/warberry 21 | 22 | ### Lead Developer 23 | Yiannis Ioannides - https://github.com/secgroundzero/warberry 24 | 25 | ### Social Media 26 | * [Twitter](https://twitter.com/sec_groundzero) 27 | -------------------------------------------------------------------------------- /reverse_engineering/.keep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whid-injector/blackhat-arsenal-tools/ef013459fd21b22ff63bd9c9a351d30389c47e4a/reverse_engineering/.keep -------------------------------------------------------------------------------- /tool_template.md: -------------------------------------------------------------------------------- 1 | **THIS IS A SAMPLE. MODIFY THE INFORMATION TO REFLECT YOUR TOOL. HEY, REMOVE THIS WARNING BEFORE SUBMISSION** 2 | 3 | # Lynis 4 | 5 | ### Description 6 | Lynis is a security auditing for UNIX derivatives like Linux, macOS, BSD, and others. It performs an in-depth security scan and runs on the system itself. The primary goal is to test security defenses and provide tips for further system hardening. It will also scan for general system information, vulnerable software packages, and possible configuration issues. Lynis was commonly used by people in the "blue team" to assess the security defenses of their systems. Nowadays, penetration testers also have Lynis in their toolkit. 7 | 8 | ### Categories 9 | * Hardening 10 | * Vulnerability assessment 11 | 12 | ### Black Hat sessions 13 | Insert your badge. 14 | 15 | Example: 16 | 17 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2014.svg)](https://www.toolswatch.org/2014/09/lineup-for-the-blackhat-arsenal-europe-2014/) 18 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2015.svg)](https://www.toolswatch.org/2015/06/black-hat-arsenal-usa-2015-speakers-lineup/) 19 | 20 | Check the valid links and badges in **badge** 21 | 22 | ### Popularity 23 | 24 | ToolsWatch Annual Best Free/Open Source Security Tool Survey: 25 | 26 | [![6th](https://www.toolswatch.org/badges/toptools/2013.svg)](https://www.toolswatch.org/2013/12/2013-top-security-tools-as-voted-by-toolswatch-org-readers) 27 | [![3rd](https://www.toolswatch.org/badges/toptools/2014.svg)](https://www.toolswatch.org/2015/01/2014-top-security-tools-as-voted-by-toolswatch-org-readers) 28 | [![2nd](https://www.toolswatch.org/badges/toptools/2015.svg)](https://www.toolswatch.org/2016/02/2015-top-security-tools-as-voted-by-toolswatch-org-readers) 29 | [![10th](https://www.toolswatch.org/badges/toptools/2016.svg)](https://www.toolswatch.org/2017/02/2016-top-security-tools-as-voted-by-toolswatch-org-readers) 30 | 31 | Check the valid links and badges in **badge** 32 | 33 | ### Code 34 | https://github.com/CISOfy/lynis 35 | 36 | ### Lead Developer(s) 37 | Michael Boelen - Cisofy https://github.com/CISOfy 38 | 39 | ### Social Media 40 | * [Twitter](https://twitter.com/mboelen) 41 | * [Company Website](https://cisofy.com/) 42 | ---- 43 | 44 | 45 | ### Badge 46 | #### Arsenal 47 | Once the links and badges selected. You can remove this section Badge before submission. 48 | 49 | * 2011: 50 | * badge: https://rawgit.com/toolswatch/badges/master/arsenal/2011.svg 51 | * USA Session: https://www.toolswatch.org/blackhat-arsenal-us-2011-archive/ 52 | 53 | * 2012: 54 | * badge: https://rawgit.com/toolswatch/badges/master/arsenal/2012.svg 55 | * USA Session: https://www.toolswatch.org/blackhat-arsenal-us-2012-archive/ 56 | * Europe Session: https://www.toolswatch.org/blackhat-arsenal-europe-2012/ 57 | 58 | * 2013: 59 | * badge: https://rawgit.com/toolswatch/badges/master/arsenal/2013.svg 60 | * USA Session: https://www.toolswatch.org/2013/06/announcement-blackhat-arsenal-usa-2013-selected-tools/ 61 | * Europe Session: https://www.toolswatch.org/2013/02/selected-tools-for-blackhat-arsenal-europe-2013/ 62 | 63 | * 2014: 64 | * badge: https://rawgit.com/toolswatch/badges/master/arsenal/2014.svg 65 | * USA Session: https://www.toolswatch.org/2014/06/black-hat-usa-2014-arsenal-tools-speaker-list/ 66 | * Europe Session: https://www.toolswatch.org/2014/09/lineup-for-the-blackhat-arsenal-europe-2014/ 67 | 68 | * 2015: 69 | * badge: https://rawgit.com/toolswatch/badges/master/arsenal/2015.svg 70 | * USA Session: https://www.toolswatch.org/2015/06/black-hat-arsenal-usa-2015-speakers-lineup/ 71 | * Europe Session: https://www.toolswatch.org/2015/10/black-hat-arsenal-europe-2015-line-up/ 72 | * Asia Session: https://www.toolswatch.org/2015/03/black-hat-asia-2015-arsenal-speaker-list/ 73 | 74 | * 2016: 75 | * badge: https://rawgit.com/toolswatch/badges/master/arsenal/2016.svg 76 | * USA Session: https://www.toolswatch.org/2016/06/the-black-hat-arsenal-usa-2016-remarkable-line-up/ 77 | * Europe Session: https://www.toolswatch.org/2016/09/the-black-hat-arsenal-europe-2016-line-up/ 78 | * Asia Session: https://www.toolswatch.org/2016/03/black-hat-arsenal-asia-2016-speakers-line-up/ 79 | 80 | * 2017: 81 | * badge: https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg 82 | * Asia Session: https://www.toolswatch.org/2017/02/the-black-hat-arsenal-asia-2017-great-line-up/ 83 | * USA Session: http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/ 84 | 85 | #### ToolsWatch Survey 86 | 87 | * 2013: 88 | * link: https://www.toolswatch.org/2013/12/2013-top-security-tools-as-voted-by-toolswatch-org-readers/ 89 | * badge: https://github.com/toolswatch/badges/blob/master/toptools/2013.svg 90 | 91 | * 2014: 92 | * link: https://www.toolswatch.org/2015/01/2014-top-security-tools-as-voted-by-toolswatch-org-readers/ 93 | * badge: https://github.com/toolswatch/badges/blob/master/toptools/2014.svg 94 | 95 | * 2015: 96 | * link: https://www.toolswatch.org/2016/02/2015-top-security-tools-as-voted-by-toolswatch-org-readers/ 97 | * badge: https://github.com/toolswatch/badges/blob/master/toptools/2015.svg 98 | 99 | * 2016: 100 | * link: https://www.toolswatch.org/2017/02/2016-top-security-tools-as-voted-by-toolswatch-org-readers/ 101 | * badge: https://github.com/toolswatch/badges/blob/master/toptools/2016.svg 102 | 103 | If your tool was ranked 1st, consider using the following badges: 104 | 105 | * 2013: 106 | * badge: https://github.com/toolswatch/badges/blob/master/toptools/rank1_2013.svg 107 | 108 | * 2014: 109 | * badge: https://github.com/toolswatch/badges/blob/master/toptools/rank1_2014.svg 110 | 111 | * 2015: 112 | * badge: https://github.com/toolswatch/badges/blob/master/toptools/rank1_2015.svg 113 | 114 | * 2016: 115 | * badge: https://github.com/toolswatch/badges/blob/master/toptools/rank1_2016.svg 116 | -------------------------------------------------------------------------------- /vulnerability_assessment/apt2.md: -------------------------------------------------------------------------------- 1 | 2 | # APT2 - An Automated Penetration Testing Toolkit 3 | 4 | ### Description 5 | ``` 6 | dM. `MMMMMMMb. MMMMMMMMMM 7 | ,MMb MM `Mb / MM \ 8 | d'YM. MM MM MM ____ 9 | ,P `Mb MM MM MM 6MMMMb 10 | d' YM. MM .M9 MM MM' `Mb 11 | ,P `Mb MMMMMMM9' MM ,MM 12 | d' YM. MM MM ,MM' 13 | ,MMMMMMMMb MM MM ,M' 14 | d' YM. MM MM ,M' 15 | _dM_ _dMM_MM_ _MM_MMMMMMMM 16 | 17 | 18 | An Automated Penetration Testing Toolkit 19 | ``` 20 | This tool will perform an NMap scan, or import the results of a scan from Nexpose, Nessus, or NMap. The processesd results will be used to launch exploit and enumeration modules according to the configurable Safe Level and enumerated service information. 21 | 22 | All module results are stored on localhost and are part of APT2's Knowledge Base (KB). The KB is accessible from within the application and allows the user to view the harvested results of an exploit module. 23 | 24 | ### Categories 25 | * Vulnerability assessment 26 | * Exploitation 27 | * Frameworks 28 | 29 | ### Black Hat sessions 30 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2016.svg)](https://www.toolswatch.org/2016/06/the-black-hat-arsenal-usa-2016-remarkable-line-up/) 31 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2016.svg)](https://www.toolswatch.org/2016/09/the-black-hat-arsenal-europe-2016-line-up/) 32 | 33 | ### Code 34 | https://github.com/MooseDojo/apt2 35 | 36 | ### Main developer 37 | * Adam Compton - https://github.com/tatanus https://github.com/MooseDojo 38 | * Austin Lane - https://github.com/MooseDojo 39 | 40 | ### Social Media 41 | * [Twitter](https://twitter.com/tatanus) 42 | * [Twitter](https://twitter.com/capndan) 43 | -------------------------------------------------------------------------------- /webapp_security/jack.md: -------------------------------------------------------------------------------- 1 | # Jack 2 | 3 | ### Description 4 | Jack is a web based ClickJacking PoC development assistance tool. 5 | Jack makes use of static HTML and JavaScript to create a drag n drop environment to illustrate the impact of ClickJacking. 6 | 7 | ### Categories 8 | * Webb Application Security 9 | * Vulnerability assessment 10 | * Phishing 11 | 12 | ### Black Hat sessions 13 | [![Arsenal](https://www.toolswatch.org/badges/arsenal/2015.svg)]( https://www.toolswatch.org/2015/10/black-hat-arsenal-europe-2015-line-up/) 14 | 15 | ### Code 16 | https://github.com/sensepost/jack 17 | 18 | ### Lead Developer 19 | Chris Le Roy - SensePost https://github.com/sensepost 20 | 21 | ### Social Media 22 | * [Twitter](https://twitter.com/brompwnie) 23 | * [Company Website](https://sensepost.com/) 24 | ---- 25 | -------------------------------------------------------------------------------- /webapp_security/owtf.md: -------------------------------------------------------------------------------- 1 | # OWASP Offensive Web Testing Framework (OWTF) 2 | 3 | ### Description 4 | OWASP OWTF is a project focused on penetration testing efficiency and alignment of security tests to security standards like the OWASP Testing Guide (v3 and v4), the OWASP Top 10, PTES and NIST so that pentesters will have more time to: 5 | 6 | * See the big picture and think out of the box 7 | * More efficiently find, verify and combine vulnerabilities 8 | * Have time to investigate complex vulnerabilities like business logic/architectural flaws, etc. 9 | * Perform more tactical/targeted fuzzing on seemingly risky areas 10 | * Demonstrate true impact despite the short timeframes we are typically given to test 11 | 12 | OWTF includes: 13 | * A highly configurable plugin system 14 | * A fast (the fastest Python MiTM proxy yet!) MiTM SSL proxy 15 | * A pretty web interface 16 | * An interactive report 17 | * Full coverage for OWASP Testing Guide v3/v4, PTES, NIST, and CWE mappings 18 | * Built-in integrations for Mozilla Zest and Plug-n-Hack standards 19 | * REST API exposed to control and extend the functionality of OWTF 20 | 21 | ### Categories 22 | 23 | * Web Application 24 | * OWASP 25 | * Pentest 26 | * Vulnerability assessment 27 | 28 | ### Black Hat sessions 29 | 30 | [![Black Hat Arsenal USA](https://rawgit.com/toolswatch/badges/master/arsenal/2017.svg)](http://www.toolswatch.org/2017/06/the-black-hat-arsenal-usa-2017-phenomenal-line-up-announced/) 31 | 32 | ### Code 33 | https://github.com/owtf/owtf 34 | 35 | ### Lead Developers 36 | 37 | - Abraham Aranguren (https://twitter.com/7a_) 38 | - Bharadwaj Machiraju (https://twitter.com/tunnelshade_) 39 | - Viyat Bhalodia (https://twitter.com/viyat) 40 | 41 | 42 | ### Social Media 43 | 44 | * [Twitter](https://twitter.com/owtfp) 45 | * [Project homepage](http://owtf.github.io/) 46 | * [IRC](http://webchat.freenode.net/?randomnick=1&channels=%23owtf&prompt=1&uio=MTE9MjM20f) 47 | * [Wiki](https://www.owasp.org/index.php/OWASP_OWTF) 48 | * [Slack](https://owasp.herokuapp.com) and join channel `#project-owtf` 49 | * [User Documentation](http://docs.owtf.org/en/latest/) 50 | * [Youtube channel](https://www.youtube.com/user/owtfproject) 51 | * [Slideshare](http://www.slideshare.net/abrahamaranguren/presentations) 52 | * [Blog](http://blog.7-a.org/search/label/OWTF) 53 | 54 | -------------------------------------------------------------------------------- /webapp_security/wssat.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # WSSAT - Web Service Security Assessment Tool 4 | 5 | ### Description 6 | WSSAT is an open source web service security scanning tool which provides a dynamic environment to add, update or delete vulnerabilities by just editing its configuration files. This tool accepts WSDL address list as input file and for each service, it performs both static and dynamic tests against the security vulnerabilities. It also makes information disclosure controls. 7 | With this tool, all web services could be analysed at once and the overall security assessment could be seen by the organization. 8 | 9 | **Objectives of WSSAT are to allow organizations:** 10 | * Perform their web services security analysis at once 11 | * See overall security assessment with reports 12 | * Harden their web services 13 | 14 | **WSSAT’s main capabilities include:** 15 | 16 | **Dynamic Testing:** 17 | * Insecure Communication - SSL Not Used 18 | * Unauthenticated Service Method 19 | * Error Based SQL Injection 20 | * Cross Site Scripting 21 | * XML Bomb 22 | * External Entity Attack - XXE 23 | * XPATH Injection 24 | * Verbose SOAP Fault Message 25 | 26 | **Static Analysis:** 27 | * Weak XML Schema: Unbounded Occurrences 28 | * Weak XML Schema: Undefined Namespace 29 | * Weak WS-SecurityPolicy: Insecure Transport 30 | * Weak WS-SecurityPolicy: Insufficient Supporting Token Protection 31 | * Weak WS-SecurityPolicy: Tokens Not Protected 32 | 33 | **Information Leakage:** 34 | * Server or technology information disclosure 35 | 36 | **WSSAT’s main modules are:** 37 | * Parser 38 | * Vulnerabilities Loader 39 | * Analyzer/Attacker 40 | * Logger 41 | * Report Generator 42 | 43 | The main difference of WSSAT is to create a dynamic vulnerability management environment instead of embedding the vulnerabilities into the code. 44 | 45 | _This project has been developed as Term Project at Middle East Technical University (METU), Software Management master program._ 46 | 47 | ### Categories 48 | 49 | * Web Application 50 | * Web Service 51 | * Pentest 52 | * Vulnerability assessment 53 | 54 | ### Black Hat sessions 55 | 56 | [![Black Hat Arsenal USA](https://rawgit.com/toolswatch/badges/master/arsenal/2016.svg)](https://www.blackhat.com/us-16/arsenal.html#web-service-security-assessment-tool-wssat) [![Black Hat Arsenal Europe](https://rawgit.com/toolswatch/badges/master/arsenal/2016.svg)](https://www.blackhat.com/eu-16/arsenal.html#wssat-web-service-security-assessment-tool) 57 | 58 | ### Code 59 | https://github.com/YalcinYolalan/WSSAT 60 | 61 | ### Lead Developers 62 | 63 | - Mehmet Yalçın YOLALAN (https://www.linkedin.com/in/yalcinyolalan/) 64 | - Salih TALAY (https://www.linkedin.com/in/salih-talay-49025238/) 65 | 66 | ### Social Media 67 | 68 | * [Project homepage](http://yalcinyolalan.github.io/WSSAT/) 69 | 70 | 71 | -------------------------------------------------------------------------------- /webapp_security/zap.md: -------------------------------------------------------------------------------- 1 | # ZAP 2 | 3 | ### Description 4 | 5 | The OWASP Zed Attack Proxy (ZAP) is one of the world’s most popular free security tools and is actively maintained by hundreds of international volunteers. It can help you automatically find security vulnerabilities in your web applications while you are developing and testing your applications. Its also a great tool for experienced pentesters to use for manual security testing. 6 | 7 | Some of the built in features include: Intercepting proxy server, Traditional and AJAX Web crawlers, Automated scanner, Passive scanner, Forced browsing, Fuzzer, WebSocket support, Scripting languages, and Plug-n-Hack support. It has a plugin-based architecture and an online ‘marketplace’ which allows new or updated features to be added. The GUI control panel is easy to use, and the API functions make it ideal for automation testing and continuous assessments in a SDLC. 8 | 9 | ### Categories 10 | 11 | * Web Application 12 | * OWASP 13 | * Pentest 14 | * Web API Security 15 | * Vulnerability assessment 16 | 17 | ### Black Hat sessions 18 | 19 | [![Black Hat Arsenal USA](https://www.toolswatch.org/badges/arsenal/2016.svg)](https://www.toolswatch.org/2016/09/the-black-hat-arsenal-europe-2016-line-up/) 20 | [![Black Hat Arsenal EU](https://www.toolswatch.org/badges/arsenal/2014.svg)](https://www.toolswatch.org/2014/09/lineup-for-the-blackhat-arsenal-europe-2014/) 21 | [![Black Hat Arsenal USA](https://www.toolswatch.org/badges/arsenal/2014.svg)](https://www.toolswatch.org/2014/06/black-hat-usa-2014-arsenal-tools-speaker-list/) 22 | 23 | ### Popularity 24 | 25 | ToolsWatch Annual Best Free/Open Source Security Tool Survey: 26 | 27 | [![1st](https://www.toolswatch.org/badges/toptools/rank1_2013.svg)](https://www.toolswatch.org/2013/12/2013-top-security-tools-as-voted-by-toolswatch-org-readers) 28 | [![2nd](https://www.toolswatch.org/badges/toptools/2014.svg)](https://www.toolswatch.org/2015/01/2014-top-security-tools-as-voted-by-toolswatch-org-readers) 29 | [![1st](https://www.toolswatch.org/badges/toptools/rank1_2015.svg)](https://www.toolswatch.org/2016/02/2015-top-security-tools-as-voted-by-toolswatch-org-readers) 30 | [![2nd](https://www.toolswatch.org/badges/toptools/2016.svg)](https://www.toolswatch.org/2017/02/2016-top-security-tools-as-voted-by-toolswatch-org-readers) 31 | 32 | ### Code 33 | 34 | * [OWASP ZAP](https://github.com/zaproxy/zaproxy) 35 | * [Extensions](https://github.com/zaproxy/zap-extensions) 36 | 37 | ### Lead Developer 38 | 39 | Mozilla \ Simon Bennetts - https://github.com/psiinon 40 | 41 | ### Social Media 42 | 43 | * [Twitter](https://twitter.com/zaproxy) 44 | * [Blog](https://zaproxy.blogspot.co.uk) 45 | * [GitHub](https://github.com/zaproxy) 46 | 47 | 48 | --------------------------------------------------------------------------------