├── .gitignore ├── CONTRIBUTING.md ├── LICENSE.md ├── README.md ├── binGraph ├── __init__.py ├── __main__.py ├── binGraph.py └── graphs │ ├── __init__.py │ ├── ent │ ├── __init__.py │ └── graph.py │ └── hist │ ├── __init__.py │ └── graph.py ├── example-ent.json ├── example-ent.png ├── example-hist.json ├── example-hist.png ├── files.txt └── setup.py /.gitignore: -------------------------------------------------------------------------------- 1 | 2 | graphs/.DS_Store 3 | .DS_Store 4 | -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | # Pull requests welcome! 2 | 3 | I'd love contributions bug fixes, but mainly to add additional graph types. 4 | 5 | Please make the pull request against the contrib branch and I will review. 6 | 7 | Please watchout for the following before commiting: 8 | * Please keep pull requests for features and bug requests seperate 9 | * Indentation - Please use 4 space indent 10 | * Blank lines - Please check blank lines are... blank :) not invisible characters (spaces and tabs)! 11 | * Please test the new code with Python2 and Python3 - this project should work with both 12 | * Please use ```# #``` To indicate a comment - This helps when un/commenting large code blocks in testing 13 | 14 | And most of all, thanks for contributing!!! -------------------------------------------------------------------------------- /LICENSE.md: -------------------------------------------------------------------------------- 1 | GNU AFFERO GENERAL PUBLIC LICENSE 2 | Version 3, 19 November 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 Affero General Public License is a free, copyleft license for 11 | software and other kinds of works, specifically designed to ensure 12 | cooperation with the community in the case of network server software. 13 | 14 | The licenses for most software and other practical works are designed 15 | to take away your freedom to share and change the works. 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It is safest 628 | to attach them to the start of each source file to most effectively 629 | state the exclusion of warranty; and each file should have at least 630 | the "copyright" line and a pointer to where the full notice is found. 631 | 632 | 633 | Copyright (C) 634 | 635 | This program is free software: you can redistribute it and/or modify 636 | it under the terms of the GNU Affero General Public License as published 637 | by the Free Software Foundation, either version 3 of the License, or 638 | (at your option) any later version. 639 | 640 | This program is distributed in the hope that it will be useful, 641 | but WITHOUT ANY WARRANTY; without even the implied warranty of 642 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 643 | GNU Affero General Public License for more details. 644 | 645 | You should have received a copy of the GNU Affero General Public License 646 | along with this program. If not, see . 647 | 648 | Also add information on how to contact you by electronic and paper mail. 649 | 650 | If your software can interact with users remotely through a computer 651 | network, you should also make sure that it provides a way for users to 652 | get its source. For example, if your program is a web application, its 653 | interface could display a "Source" link that leads users to an archive 654 | of the code. There are many ways you could offer source, and different 655 | solutions will be better for different programs; see section 13 for the 656 | specific requirements. 657 | 658 | You should also get your employer (if you work as a programmer) or school, 659 | if any, to sign a "copyright disclaimer" for the program, if necessary. 660 | For more information on this, and how to apply and follow the GNU AGPL, see 661 | . 662 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # binGraph.py 2 | A tool to graph files for quick visual analysis of binary files 3 | 4 | Feel free to use this project (in its entirety) in other tools, and please provide attribution back to the project. 5 | 6 | Creates matplotlib graphs to represent different aspects of a file (usually malware). Focusing on entropy. 7 | 8 | Given a file(s) (with ```--file```) different graphs can be generated (e.g. ```ent```, ```hist``` etc.) or ```all``` can be used to generate all the graphs available. 9 | 10 | Below are the ```--help ``` options: 11 | 12 | ``` 13 | $ python binGraph.py --help 14 | usage: binGraph.py [-h] -f malware.exe [malware.exe ...] [-r] [-] [--prefix] 15 | [--out /data/graphs/] [--json] [--graphtitle "file.exe"] 16 | [--showplt] [--format png] [--figsize # #] [--dpi 100] 17 | [--blob] [-v] 18 | {all,hist,ent} ... 19 | 20 | positional arguments: 21 | {all,hist,ent} Graph type to generate. Graphs can also be 22 | individually generated by running the in isolation: 23 | python graphs/ent/graph.py -f file.bin 24 | 25 | optional arguments: 26 | -h, --help show this help message and exit 27 | -f malware.exe [malware.exe ...], --file malware.exe [malware.exe ...] 28 | Give me a graph of this file. Provide a list of files 29 | with the "@files.txt" syntax (for example from a 30 | `find` command). See - if this is the only argument 31 | specified. 32 | -r, --recurse If --file is a directory, add files recursively 33 | - *** Required if --file or -f is the only argument 34 | given before a graph type is provided (it's greedy!). 35 | E.g. "binGraph.py --file mal.exe - bin_ent" 36 | --prefix Add this prefix to the saved filenames 37 | --out /data/graphs/ Where to save the graph files 38 | --json Ouput graphs as json with graph images encoded as 39 | Base64 40 | --graphtitle "file.exe" 41 | Given title for graphs 42 | --showplt Show plot interactively (disables saving to file) 43 | --format png Graph output format. All matplotlib outputs are 44 | supported: e.g. png, pdf, ps, eps, svg 45 | --figsize # # Figure width and height in inches 46 | --dpi 100 Figure dpi 47 | --blob Do not intelligently parse certain file types. Treat 48 | all files as a binary blob. E.g. don't add PE entry 49 | point or section splitter to the graph 50 | -v, --verbose Print debug information to stderr 51 | ``` 52 | 53 | ## Binary Entropy - ent 54 | Shows the entropy over certain sized chunked samples of the binary file. The sample size is scaled to the ```--chunks``` option (defaults to 750). More chunks give mode detail, but can get messy! The ```--ibytes``` option provides a method to highlight certain bytes and their occurence within that sample set. This often has direct reflection to why entropy goes up or down - lots of 0's? Entropy line goes down, and 0's line go up! 55 | ```--ibytes``` must be an list of json dictionaries. Dictionaries must contain a ```"name"```, and ```"bytes"``` values. ```"bytes"``` is an array of integers which are interpretted as hex bytes. The optional ```"colour"``` value can be a matplotlib colour (e.g. r, b or hex with/or without alpha), or not defined (in this case a seeded value is used) 56 | 57 | ![Binary entropy graph](example-ent.png "Binary entropy graph - from PE executable") 58 | !MALWARE! Sample from: https://cape.contextis.com/analysis/20194/ 59 | ``` 60 | $ python binGraph.py ent --help 61 | usage: binGraph.py ent [-h] [-c 750] [--ibytes [{ "name":"0s", "bytes":[0] }, 62 | { "name":"Exploit", "bytes":[44, 144], "colour":"r" }]] 63 | [--entcolour #cf3da2ff] 64 | 65 | optional arguments: 66 | -h, --help show this help message and exit 67 | -c 750, --chunks 750 Defines how many chunks the binary is split into (and 68 | therefore the amount of bytes submitted for shannon 69 | sampling per time). Higher number gives more detail 70 | --ibytes [ { "name":"0s", "bytes":[0] }, { "name":"Exploit", "bytes":[44, 144], "colour":"r" } ] 71 | Bytes occurances to add to the graph - used to add 72 | extra visability into the type of bytes included in 73 | the binary. To disable this option, set the flag 74 | without an argument. The "name" value is the name of 75 | the bytes for the legend, the "bytes" value is the 76 | bytes to count the percentage of per section, the 77 | "colour" value maybe a matplotlib colour ( r,g,b 78 | etc.), a hex with or without an alpha value, or not 79 | defined (a seeded colour is chosen). The easiest way 80 | to construct these values is to create a dictionary 81 | and convert it using 'print(json.loads(dict))' 82 | --entcolour #cf3da2ff 83 | Colour of the Entropy line 84 | ``` 85 | 86 | ## Binary Histogram - hist 87 | Provides an insight into the occurence of all bytes in the file. Two graphs are overlayed, the red graph shows bytes 0x00 to 0xFF in order. The blue graph shows the same bytes, ordered by count, this shows the overall distribution. 88 | 89 | ![Binary byte histogram](example-hist.png "Binary byte histogram") 90 | !MALWARE! Sample from: https://cape.contextis.com/analysis/20194/ 91 | ``` 92 | $ python binGraph.py hist --help 93 | usage: binGraph.py hist [-h] [--no_zero] [--width 1] [--no_log] [--no_order] 94 | [--colours #ff01d5 #ff01d5] 95 | 96 | optional arguments: 97 | -h, --help show this help message and exit 98 | --no_zero Remove 0x00 from the graph, sometimes this blows other 99 | results due to there being numerous amounts - also see 100 | --no_log 101 | --width 1 Sample width 102 | --no_log Do _not_ apply a log scale to occurance axis 103 | --no_order Remove the ordered histogram - It shows overall 104 | distribution when on 105 | --colours #ff01d5 #ff01d5 106 | Colours for the graph. First value is the ordered graph 107 | ``` 108 | 109 | # To do: 110 | 111 | - Read from stdin for use with other tools such as Didier Stevens's zipdump.py - Kaitai allows binary array input 112 | - ent graph (and others) to use Kaitai as the parser instead of third party libs - bit more extensible 113 | - Add extra graph types - Hilbert curve -------------------------------------------------------------------------------- /binGraph/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/geekscrapy/binGraph/e149a06305316e215815fb0c5011b424a1865ace/binGraph/__init__.py -------------------------------------------------------------------------------- /binGraph/__main__.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | """ 3 | The main entry point. Invoke as `binGraph' or `python -m binGraph'. 4 | 5 | """ 6 | 7 | import sys 8 | from .binGraph import main 9 | 10 | if __name__ == '__main__': 11 | sys.exit(main()) 12 | -------------------------------------------------------------------------------- /binGraph/binGraph.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # encoding: utf-8 3 | 4 | from __future__ import absolute_import 5 | import sys 6 | import pkgutil 7 | import os 8 | import logging 9 | import argparse 10 | import io 11 | import base64 12 | import json 13 | import datetime 14 | 15 | __version__ = {} 16 | __version__["codename"] = "Iron Airedale" # http://www.codenamegenerator.com/?prefix=metal&dictionary=dogs 17 | __version__["digit"] = 3.3 18 | __version__["run_date"] = datetime.datetime.now().isoformat() 19 | 20 | 21 | # ## Global graphing default values 22 | __figformat__ = "png" # Output format of saved figure 23 | __figsize__ = (12, 4) # Size of figure in inches 24 | __figdpi__ = 100 # DPI of figure 25 | __json__ = False # Show the plot interactively 26 | __showplt__ = False # Show the plot interactively 27 | __blob__ = False # Treat all files as binary blobs. Disable intelligently parsing of file format specific features. 28 | 29 | # ## Logging 30 | # # Lower the matplotlib logger 31 | logging.getLogger("matplotlib").setLevel(logging.CRITICAL) 32 | 33 | # # Setup logging format 34 | # logging.basicConfig(stream=sys.stderr, format='%(name)s | %(levelname)s | %(message)s') 35 | log = logging.getLogger("binGraph") 36 | log.setLevel(logging.INFO) 37 | 38 | # ### Helper functions 39 | 40 | 41 | def File2Strings(filename): 42 | try: 43 | f = open(filename, "r") 44 | except: 45 | return None 46 | try: 47 | return [line.rstrip("\n") for line in f.readlines()] 48 | except: 49 | return None 50 | finally: 51 | f.close() 52 | 53 | 54 | # # Gather files to process - give it a list of paths (files or directories) 55 | # # and it will return all files in a list 56 | def find_files(search_paths, recurse): 57 | 58 | __files__ = [] 59 | for f in search_paths: 60 | 61 | if recurse and os.path.isdir(f): 62 | 63 | for dir_name, dirs, files in os.walk(f): 64 | log.debug("Found directory: {}".format(dir_name)) 65 | 66 | for fname in files: 67 | abs_fpath = os.path.join(dir_name, fname) 68 | 69 | if os.path.isfile(abs_fpath) and not os.path.islink(abs_fpath) and not os.stat(abs_fpath).st_size == 0: 70 | log.info('File found: "{}"'.format(abs_fpath)) 71 | __files__.append(abs_fpath) 72 | 73 | elif os.path.isfile(f) and not os.path.islink(f) and not os.stat(f).st_size == 0: 74 | abs_fpath = os.path.abspath(f) 75 | log.debug('Found file: "{}"'.format(abs_fpath)) 76 | __files__.append(abs_fpath) 77 | 78 | else: 79 | log.critical('Not a file, skipping: "{}"'.format(f)) 80 | pass 81 | 82 | return __files__ 83 | 84 | 85 | # # Cleanup given filename 86 | def clean_fname(fn): 87 | 88 | return "".join([c for c in fn if c.isalnum()]) 89 | 90 | 91 | # # Generate the different file names required 92 | def gen_names(ffrmt, abs_fpath, abs_save_path, save_prefix=None, graphtype=None, findex=None): 93 | 94 | base_save_fname = "{prefix}-{findex}-{graphtype}-{cleaned_fname}.{ffrmt}" 95 | 96 | if save_prefix: 97 | save_fname = base_save_fname.replace("{prefix}", save_prefix) 98 | else: 99 | save_fname = base_save_fname.replace("{prefix}-", "") 100 | 101 | save_fname = save_fname.replace("{graphtype}", graphtype) 102 | 103 | cleaned_fname = clean_fname(os.path.basename(abs_fpath)) 104 | 105 | if type(findex) == int: 106 | save_fname = save_fname.replace("{findex}", str(findex)) 107 | save_fname = save_fname.replace("{cleaned_fname}", cleaned_fname) 108 | else: 109 | save_fname = save_fname.replace("{findex}-", "") 110 | save_fname = save_fname.replace("-{cleaned_fname}", "") 111 | 112 | save_fname = save_fname.replace("{ffrmt}", ffrmt) 113 | 114 | abs_save_fpath = os.path.join(abs_save_path, save_fname) 115 | 116 | return abs_save_fpath, os.path.basename(abs_fpath), cleaned_fname 117 | 118 | 119 | # # Dynamically import graphtypes 120 | def get_graph_modules(): 121 | 122 | graphs_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "graphs") 123 | graph_individuals = [x[0] for x in os.walk(graphs_dir)][1:] 124 | 125 | modules = {} 126 | 127 | for graph in graph_individuals: 128 | 129 | for importer, package_name, _ in pkgutil.iter_modules([graph]): 130 | 131 | if sys.version_info[0] < 3: 132 | full_package_name = "{}".format(os.path.basename(graph)) 133 | else: 134 | full_package_name = "{}.graph".format(os.path.basename(graph), package_name) 135 | 136 | if not (full_package_name in sys.modules): 137 | 138 | if sys.version_info[0] < 3: 139 | module = importer.find_module("graph", graph) 140 | else: 141 | module = importer.find_module(full_package_name) 142 | 143 | if module: 144 | module = module.load_module(full_package_name) 145 | 146 | modules[os.path.basename(graph)] = module 147 | 148 | return modules 149 | 150 | 151 | # # Try and import the graphs 152 | try: 153 | graphs = get_graph_modules() 154 | except Exception as e: 155 | log.critical("Failed to import graph: {}".format(e)) 156 | exit(0) 157 | 158 | # # Main routine - import this and provide a 159 | def generate_graphs(args_dict): 160 | log.debug("args_dict = " + str(args_dict)) 161 | """ 162 | Dictionary of arguments to generate the graphs. 163 | See individual graphs for possible arguments 164 | 165 | args_dict = { 166 | 'files': ['/home/molley/bad_file.exe'], 167 | 'recurse': False, 168 | '__dummy': False, 169 | 'prefix': None, 170 | 'save_dir': '/home/molley/output/', 171 | 'json': False, 172 | 'graphtitle': None, 173 | 'showplt': False, 174 | 'format': 'png', 175 | 'figsize': (12, 4), 176 | 'dpi': 100, 177 | 'blob': False, 178 | 'verbose': False, 179 | 'graphtype': 'ent', 180 | 'chunks': 750, 181 | 'ibytes': [{ 182 | 'name': '0s', 183 | 'bytes': [0], 184 | 'colour': (0.0, 1.0, 0.0, 1.0) 185 | }], 186 | 'entcolour': '#ff00ff' 187 | } 188 | """ 189 | 190 | # # Set logging 191 | if args_dict.get("verbose", False): 192 | logging.getLogger().setLevel(logging.DEBUG) 193 | logging.getLogger("matplotlib").setLevel(logging.WARNING) 194 | 195 | # # Detect if all graphs are being requested 196 | __graphtypes__ = [] 197 | if args_dict["graphtype"] == "all": 198 | __graphtypes__ = graphs 199 | else: 200 | __graphtypes__ = {args_dict["graphtype"]: graphs[args_dict["graphtype"]]} 201 | 202 | log.debug("Generating graphs: {}".format(", ".join(list(__graphtypes__.keys())))) 203 | 204 | # # Iterate over all given files 205 | for index, abs_fpath in enumerate(args_dict["files"]): 206 | log.debug('Processing: "{}"'.format(abs_fpath)) 207 | 208 | for module_name, module in __graphtypes__.items(): 209 | abs_save_fpath, fname, cleaned_fname = gen_names( 210 | args_dict["format"], 211 | abs_fpath, 212 | args_dict["save_dir"], 213 | save_prefix=args_dict["prefix"], 214 | graphtype=module_name, 215 | findex=(index if len(args_dict["files"]) > 1 else None), 216 | ) 217 | args_dict["abs_fpath"] = abs_fpath # Define the current file we are acting on 218 | args_dict["fname"] = fname 219 | args_dict["cleaned_fname"] = cleaned_fname 220 | 221 | # # Generate and output the graph 222 | plt, save_kwargs, json_data = module.generate(**args_dict) 223 | fig = plt.gcf() 224 | fig.set_size_inches(*args_dict["figsize"], forward=True) 225 | 226 | plt.tight_layout() 227 | 228 | if args_dict["showplt"]: 229 | log.info("Opening graph interactively") 230 | plt.show() 231 | 232 | elif args_dict["json"]: 233 | log.info("Saving as json file") 234 | 235 | output = {} 236 | output["info"] = json_data 237 | 238 | buf = io.BytesIO() 239 | plt.savefig(buf, format=args_dict["format"], dpi=args_dict["dpi"], **save_kwargs) 240 | output["graph"] = base64.b64encode(buf.getvalue()).decode() 241 | buf.close() 242 | 243 | output["cmdline"] = " ".join(args_dict) 244 | output["version"] = __version__ 245 | 246 | abs_save_fpath = os.path.splitext(abs_save_fpath)[0] + ".json" 247 | with open(abs_save_fpath, "w") as outfile: 248 | json.dump(output, outfile) 249 | 250 | log.info('Graph saved to: "{}"'.format(abs_save_fpath)) 251 | 252 | else: 253 | plt.savefig(abs_save_fpath, format=args_dict["format"], dpi=args_dict["dpi"], **save_kwargs) 254 | log.info('Graph saved to: "{}"'.format(abs_save_fpath)) 255 | 256 | plt.clf() 257 | plt.cla() 258 | plt.close() 259 | 260 | def main(): 261 | 262 | # # Import the defaults 263 | parser = argparse.ArgumentParser() 264 | parser.add_argument( 265 | "-f", 266 | "--file", 267 | dest="files", 268 | type=str, 269 | required=True, 270 | nargs="+", 271 | metavar="malware.exe", 272 | help='Give me a graph of these files (space separated). Provide a list of files with the "@files.txt" syntax (for example output from the `find` command). See - if this is the only argument specified.', 273 | ) 274 | parser.add_argument("-r", "--recurse", action="store_true", help="If --file is a directory, add files recursively") 275 | parser.add_argument( 276 | "-", 277 | dest="__dummy", 278 | action="store_true", 279 | help='*** Required if --file or -f is the only argument given before a graph type is provided (it\'s greedy!). E.g. "binGraph.py --file mal.exe - bin_ent"', 280 | ) 281 | parser.add_argument("--prefix", type=str, metavar="", help="Add this prefix to the saved filenames") 282 | parser.add_argument( 283 | "--out", type=str, dest="save_dir", default=os.getcwd(), metavar="/data/graphs/", help="Where to save the graph files" 284 | ) 285 | parser.add_argument( 286 | "--json", action="store_true", default=__json__, help="Ouput graphs as json with graph images encoded as Base64" 287 | ) 288 | parser.add_argument("--graphtitle", type=str, metavar='"file.exe"', default=None, help="Given title for graphs") 289 | parser.add_argument( 290 | "--showplt", action="store_true", default=__showplt__, help="Show plot interactively (disables saving to file)" 291 | ) 292 | parser.add_argument( 293 | "--format", 294 | type=str, 295 | default=__figformat__, 296 | choices=["png", "pdf", "ps", "eps", "svg"], 297 | required=False, 298 | metavar="png", 299 | help="Graph output format. All matplotlib outputs are supported: e.g. png, pdf, ps, eps, svg", 300 | ) 301 | parser.add_argument("--figsize", type=int, nargs=2, default=__figsize__, metavar="#", help="Figure width and height in inches") 302 | parser.add_argument("--dpi", type=int, default=__figdpi__, metavar=__figdpi__, help="Figure dpi") 303 | parser.add_argument( 304 | "--blob", 305 | action="store_true", 306 | default=__blob__, 307 | help="Do not intelligently parse certain file types. Treat all files as a binary blob. E.g. don't add PE entry point or section splitter to the graph", 308 | ) 309 | parser.add_argument("-v", "--verbose", action="store_true", help="Print debug information to stderr") 310 | 311 | subparsers = parser.add_subparsers( 312 | dest="graphtype", 313 | help="Graph type to generate. Graphs can also be individually generated by running the in isolation: python graphs/ent/graph.py -f file.bin", 314 | ) 315 | subparsers.required = True 316 | 317 | subparsers.add_parser("all") 318 | 319 | # # Loop over all graph types to add their graph specific options 320 | for name, module in graphs.items(): 321 | module_parser = subparsers.add_parser(name) 322 | module.args_setup(module_parser) 323 | 324 | args = parser.parse_args() 325 | 326 | ## # Verify global arguments 327 | 328 | # # Get a list of files from the arguments 329 | __files__ = [] 330 | for file in args.files: 331 | if file.startswith("@"): 332 | files = File2Strings(file[1:]) 333 | if files is None: 334 | raise Exception("Error reading {}".format(file)) 335 | __files__ += list(files) 336 | else: 337 | __files__ += find_files([file], args.recurse) 338 | 339 | args.files = __files__ 340 | 341 | # # Is the save_dir actually a dirctory? 342 | args.save_dir = os.path.abspath(args.save_dir) 343 | if not os.path.isdir(args.save_dir): 344 | log.critical("--out is not a directory: {}".format(args.save_dir)) 345 | exit(1) 346 | 347 | # # Detect if all graphs are being requested 348 | __graphtypes__ = [] 349 | if args.graphtype == "all": 350 | __graphtypes__ = graphs 351 | else: 352 | __graphtypes__ = {args.graphtype: graphs[args.graphtype]} 353 | # # Allow graph modules to verify if their arguments have been set correctly 354 | for name, module in __graphtypes__.items(): 355 | module.args_validation(args) 356 | 357 | generate_graphs(args.__dict__) 358 | 359 | if __name__ == '__main__': 360 | main() 361 | -------------------------------------------------------------------------------- /binGraph/graphs/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/geekscrapy/binGraph/e149a06305316e215815fb0c5011b424a1865ace/binGraph/graphs/__init__.py -------------------------------------------------------------------------------- /binGraph/graphs/ent/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/geekscrapy/binGraph/e149a06305316e215815fb0c5011b424a1865ace/binGraph/graphs/ent/__init__.py -------------------------------------------------------------------------------- /binGraph/graphs/ent/graph.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | 3 | """ 4 | Entropy and byte occurrence analysis over all file 5 | ------------------------------------------- 6 | abs_fpath str: Absolute file path - File to load and analyse 7 | fname str: Filename 8 | blob bool: Do not intelligently parse certain file types. Treat all files as a binary blob. E.g. don\'t add PE entry point or section splitter to the graph 9 | 10 | chunks int: How many chunks to split the file over. Smaller chunks give a more averaged graph, a larger number of chunks give more detail 11 | ibytes list of dicts: Dicts are interesting bytes wanting to be displayed on the graph. These can often show relationships and reason for dips or 12 | increases in entropy at particular points. Bytes within each type are defined as lists of _decimals_, _not_ hex. Fields are: 13 | name = The printed name 14 | bytes = The bytes to represent 15 | colour = The colour of the line 16 | entcolour str Colour of the entropy graph 17 | """ 18 | from __future__ import division 19 | 20 | # # Import graph specific libs 21 | from __future__ import absolute_import 22 | import matplotlib 23 | 24 | matplotlib.use("Agg") 25 | import matplotlib.pyplot as plt 26 | import matplotlib.ticker as ticker 27 | from matplotlib.ticker import MaxNLocator 28 | 29 | import hashlib 30 | import numpy as np 31 | import statistics 32 | from collections import Counter 33 | import os 34 | import json 35 | import sys 36 | import re 37 | 38 | try: 39 | import pefile 40 | except ImportError as e1: 41 | try: 42 | import lief 43 | except ImportError as e2: 44 | pass 45 | 46 | 47 | # # Python 2/3 fix 48 | import json 49 | 50 | try: 51 | from json.decoder import JSONDecodeError 52 | except ImportError: 53 | JSONDecodeError = ValueError 54 | 55 | import logging 56 | 57 | log = logging.getLogger("graph.ent") 58 | 59 | # # Graph defaults 60 | __chunks__ = 750 61 | __ibytes__ = '[ {"name":"0\'s", "colour": "#15ff04", "bytes": [0]}, {"name":"Exploit", "bytes": [44,144], "colour":"#ff2b01"}, {"name":"Printable ASCII", "colour":"b", "bytes": [32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126]} ]' 62 | __ibytes_dict__ = json.loads(__ibytes__) 63 | __entcolour__ = "#ff00ff" 64 | 65 | # # Set args in args parse - the given parser is a sub parser 66 | def args_setup(arg_parser): 67 | arg_parser.add_argument( 68 | "-c", 69 | "--chunks", 70 | type=int, 71 | default=__chunks__, 72 | metavar="750", 73 | help="Defines how many chunks the binary is split into (and therefore the amount of bytes submitted for shannon sampling per time). Higher number gives more detail", 74 | ) 75 | arg_parser.add_argument( 76 | "--ibytes", 77 | type=str, 78 | nargs="?", 79 | metavar=' { "name":"0s", "bytes":[0] }, { "name":"Exploit", "bytes":[44, 144], "colour":"r" } ', 80 | default=__ibytes__, 81 | help=""" 82 | Bytes occurances to add to the graph - used to add extra visability into the type of bytes included in the binary. To disable this option, set the flag without an argument. 83 | The "name" value is the name of the bytes for the legend, the "bytes" value is the bytes to count the percentage of per section, the "colour" value maybe a matplotlib colour 84 | ( r,g,b etc.), a hex with or without an alpha value, or not defined (a seeded colour is chosen). The easiest way to construct these values is to create a dictionary and convert it using \'print(json.loads(dict))\'""", 85 | ) 86 | arg_parser.add_argument("--entcolour", type=str, metavar="#cf3da2ff", default=__entcolour__, help="Colour of the Entropy line") 87 | 88 | 89 | # # Validate graph specific arguments - Set the defaults here 90 | class ArgValidationEx(Exception): 91 | pass 92 | 93 | 94 | def args_validation(args): 95 | 96 | # # Test to see what matplotlib backend is setup 97 | backend = matplotlib.get_backend() 98 | if not backend == "TkAgg": 99 | log.warning( 100 | '{} matplotlib backend in use. This graph generation was tested with "TkAgg", bugs may lie ahead...'.format(backend) 101 | ) 102 | 103 | # # Test to see if we should use defaults 104 | if args.graphtype == "all": 105 | args.chunks = __chunks__ 106 | args.ibytes = __ibytes__ 107 | args.entcolour = __entcolour__ 108 | 109 | # # Test ibytes is jalid json 110 | try: 111 | args.ibytes = json.loads(args.ibytes) 112 | except JSONDecodeError as e: 113 | raise ArgValidationEx('Error decoding json --ibytes value. {}: "{}"'.format(e, args.ibytes)) 114 | except TypeError as e: 115 | args.ibytes = False 116 | 117 | # # Test to see if ibytes are sane 118 | if args.ibytes: 119 | 120 | ibytes_list = [] 121 | 122 | for ib in args.ibytes: 123 | 124 | ibyte = {} 125 | 126 | if not type(ib) == dict: 127 | raise ArgValidationEx('Error validating --ibytes - value is not a dict: "{}"'.format(ibytes_list)) 128 | elif type(ib) == dict: 129 | if not ("name" in list(ib.keys()) and "bytes" in list(ib.keys())): 130 | raise ArgValidationEx("Error validating --ibytes - name or bytes field not present: {}".format(ib)) 131 | 132 | ibyte["name"] = ib["name"] 133 | ibyte["bytes"] = [] 134 | 135 | if not len(ib["bytes"]) > 0: 136 | raise ArgValidationEx('Error validating --ibytes - Missing "bytes" values: {}'.format(ib)) 137 | 138 | for b in ib["bytes"]: 139 | if not type(b) == int: 140 | raise ArgValidationEx('Error validating --ibytes is not an int: "{}"'.format(b)) 141 | else: 142 | ibyte["bytes"].append(b) 143 | 144 | # # Get/set the colour if it exists 145 | if not "colour" in list(ib.keys()): 146 | log.warning("No colour defined for --ibytes byte range: {} {}".format(ib["name"], ib["bytes"])) 147 | ibyte["colour"] = matplotlib.colors.to_rgba(hash_colour(ib["name"])) 148 | else: 149 | ibyte["colour"] = matplotlib.colors.to_rgba(ib["colour"]) 150 | 151 | else: 152 | raise ArgValidationEx("Error validating --ibytes: {}".format(ib)) 153 | 154 | ibytes_list.append(ibyte) 155 | 156 | args.ibytes = ibytes_list 157 | 158 | 159 | # # Generate the graph 160 | def generate(abs_fpath, fname, blob, chunks=__chunks__, ibytes=__ibytes_dict__, **kwargs): 161 | 162 | with open(abs_fpath, "rb") as fh: 163 | log.debug('Opening: "{}"'.format(fname)) 164 | 165 | # # Calculate the overall chunksize 166 | fs = os.fstat(fh.fileno()).st_size 167 | if chunks > fs: 168 | chunksize = 1 169 | nr_chunksize = 1 170 | else: 171 | chunksize = -(-fs // chunks) 172 | nr_chunksize = fs / chunks 173 | 174 | log.debug("Filesize: {}, Chunksize (rounded): {}, Chunksize: {}, Chunks: {}".format(fs, chunksize, nr_chunksize, chunks)) 175 | log.debug("Using ibytes: {}".format(ibytes)) 176 | log.debug("Producing shannon ent with chunksize {}".format(chunksize)) 177 | 178 | for index, _ in enumerate(ibytes): 179 | ibytes[index]["percentages"] = [] 180 | 181 | shannon_samples = [] 182 | for chunk in get_chunk(fh, chunksize=chunksize): 183 | 184 | # # Calculate ent 185 | ent = shannon_ent(chunk) 186 | shannon_samples.append(ent) 187 | 188 | # # Calculate percentages of given bytes, if provided 189 | if ibytes: 190 | cbytes = Counter(chunk) 191 | 192 | for index, _ in enumerate(ibytes): 193 | occurrence = 0 194 | for b in ibytes[index]["bytes"]: 195 | occurrence += cbytes[b] 196 | 197 | ibytes[index]["percentages"].append((float(occurrence) / float(len(chunk))) * 100) 198 | 199 | log.debug('Closed: "{}"'.format(fname)) 200 | 201 | # # Create the figure 202 | fig, host = plt.subplots() 203 | parsedbin = "" 204 | log.debug("Plotting shannon samples") 205 | host.plot(np.array(shannon_samples), label="Entropy", c=kwargs["entcolour"], zorder=1001, linewidth=1.2) 206 | 207 | host.set_ylabel("Entropy\n".format(chunksize)) 208 | host.set_xlabel("File offset") 209 | host.xaxis.set_major_formatter(ticker.FuncFormatter(lambda x, pos: ("0x{:02X}".format(int(x * chunksize))))) 210 | host.xaxis.set_major_locator(MaxNLocator(10)) 211 | plt.xticks(rotation=-10, ha="left") 212 | 213 | # # Draw the graphs in order 214 | zorder = 1000 215 | 216 | # # Plot individual byte percentages 217 | if ibytes: 218 | 219 | axBytePc = host.twinx() 220 | # axBytePc.set_ylabel('Occurrence of "interesting" bytes') 221 | axBytePc.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, pos: ("{:d}%".format(int(x))))) 222 | 223 | for index, _ in enumerate(ibytes): 224 | c = ibytes[index]["colour"] 225 | axBytePc.plot( 226 | np.array(ibytes[index]["percentages"]), label=ibytes[index]["name"], c=c, zorder=zorder, linewidth=1.2, alpha=0.75 227 | ) 228 | zorder -= 1 229 | 230 | axBytePc.set_ybound(lower=-0.3, upper=101) 231 | 232 | # # Amount of space required between the title and graph elements (such as the section name) 233 | # # Append a \n if you need more space! 234 | title_gap = "\n" 235 | 236 | # # Filetype specific additions 237 | if blob: 238 | log.warning("Parsing file as blob (as requested)") 239 | else: 240 | 241 | bp = bin_proxy(abs_fpath) 242 | 243 | if None in (bp.bin, bp.type): 244 | log.warning("Failed to parse binary format, parsing like --blob") 245 | 246 | else: 247 | 248 | if bp.type == "PE": 249 | 250 | log.debug("Adding PE customisations") 251 | 252 | # # Entrypoint (EP) pointer and vline 253 | phy_ep_pointer = bp.get_physical_from_rva(bp.get_virtual_ep()) 254 | if phy_ep_pointer: 255 | phy_ep_pointer = phy_ep_pointer / nr_chunksize 256 | log.debug("{}: {}".format("Entrypoint", hex(bp.get_virtual_ep()))) 257 | 258 | host.axvline(x=phy_ep_pointer, linestyle=":", c="#0000ff", zorder=zorder - 1) 259 | host.text(x=phy_ep_pointer, y=1.07, s="EntryPoint", color="b", rotation=45, va="bottom", ha="left") 260 | 261 | end_of_last_section = 0 262 | longest_section_name = 0 263 | 264 | # # Section vlines 265 | for index, section in bp.sections(): 266 | zorder -= 1 267 | 268 | section_name = safe_section_name(section.name, index) 269 | section_offset = section.offset / nr_chunksize 270 | section_size = section.size / nr_chunksize 271 | 272 | log.debug("{}: {}".format(section_name, hex(section.offset))) 273 | 274 | host.axvline(x=section_offset, linestyle="--", zorder=zorder) 275 | host.text(x=section_offset, y=1.07, s=section_name, rotation=45, va="bottom", ha="left") 276 | 277 | # # Get end of last section 278 | if (section_offset + section_size) > end_of_last_section: 279 | end_of_last_section = section_offset + section_size 280 | 281 | # # Get longest section name 282 | longest_section_name = len(section_name) if len(section_name) > longest_section_name else longest_section_name 283 | 284 | # # End of final section vline 285 | host.axvline(x=end_of_last_section, linestyle="--", zorder=zorder) 286 | host.text(x=end_of_last_section, y=1.07, s="Overlay", color="b", rotation=45, va="bottom", ha="left") 287 | 288 | # # Eval the space required to show the section names 289 | if longest_section_name <= 9: 290 | title_gap = "\n\n" 291 | elif longest_section_name <= 15: 292 | title_gap = "\n\n\n" 293 | 294 | elif bp.type == "ELF": 295 | 296 | log.debug("Adding ELF customisations") 297 | 298 | # # Entrypoint (EP) pointer and vline 299 | phy_ep_pointer = parsedbin.virtual_address_to_offset(parsedbin.header.entrypoint) / nr_chunksize 300 | log.debug("{}: {}".format("Entrypoint", hex(parsedbin.header.entrypoint))) 301 | 302 | host.axvline(x=phy_ep_pointer, linestyle=":", c="r", zorder=zorder - 1) 303 | host.text(x=phy_ep_pointer, y=1.07, s="Entry", rotation=45, va="bottom", ha="left") 304 | 305 | longest_section_name = 0 306 | # # Section vlines 307 | for index, section in enumerate(parsedbin.sections): 308 | zorder -= 1 309 | 310 | section_name = safe_section_name(section.name, index) 311 | section_offset = section.offset / nr_chunksize 312 | 313 | log.debug("{}: {}".format(section_name, hex(section.offset))) 314 | 315 | host.axvline(x=section_offset, linestyle="--", zorder=zorder) 316 | host.text(x=section_offset, y=1.07, s=section_name, rotation=45, va="bottom", ha="left") 317 | 318 | # # Get longest section name 319 | longest_section_name = len(section_name) if len(section_name) > longest_section_name else longest_section_name 320 | 321 | # # Eval the space required to show the section names 322 | if longest_section_name <= 5: 323 | title_gap = "\n" * 2 324 | elif longest_section_name <= 9: 325 | title_gap = "\n" * 3 326 | elif longest_section_name <= 15: 327 | title_gap = "\n" * 4 328 | 329 | else: 330 | log.debug("File is a currently unsupported format - (supported by lief, not yet supported by binGraph)") 331 | 332 | # # Plot the entropy graph 333 | host.set_xbound(lower=-0.5, upper=len(shannon_samples) + 0.5) 334 | host.set_ybound(lower=0, upper=1.05) 335 | 336 | # # Add legends + title (adjust for different options given) 337 | legends = [] 338 | if ibytes: 339 | legends.append(host.legend(loc="upper left", bbox_to_anchor=(1.1, 1), frameon=False)) 340 | legends.append(axBytePc.legend(loc="upper left", bbox_to_anchor=(1.1, 0.85), frameon=False)) 341 | else: 342 | legends.append(host.legend(loc="upper left", bbox_to_anchor=(1.01, 1), frameon=False)) 343 | 344 | host.set_title("{title_gap}".format(title_gap=title_gap)) 345 | 346 | # # Return the plt, kwargs for the plt.savefig function, and additional information for json data 347 | json_data = { 348 | "title": fname, 349 | "info": {"Mean": statistics.mean(shannon_samples), "Standard deviation": statistics.stdev(shannon_samples)}, 350 | } 351 | 352 | return plt, {"bbox_inches": "tight", "bbox_extra_artists": tuple(legends)}, json_data 353 | 354 | 355 | # ### Helper functions 356 | 357 | # # Abstracts the bin properties away from specific library calls enabling lief and pefile usage 358 | class bin_proxy(object): 359 | """Abstract for different binary parsers types in use""" 360 | 361 | def __init__(self, abs_fpath, lib=None): 362 | super(bin_proxy, self).__init__() 363 | self.abs_fpath = abs_fpath 364 | 365 | if lib: 366 | self.lib = lib 367 | else: 368 | 369 | if "pefile" in sys.modules: 370 | self.lib = "pefile" 371 | elif "lief" in sys.modules: 372 | self.lib = "lief" 373 | else: 374 | # # We dont have a parser 375 | return None, None 376 | 377 | self.bin, self.type = None, None 378 | self.__parse_bin() 379 | 380 | class __ParseError(Exception): 381 | 382 | pass 383 | 384 | def __parse_bin(self): 385 | 386 | if self.lib == "lief": 387 | try: 388 | self.bin = lief.parse(filepath=self.abs_fpath) 389 | if type(self.bin) == lief.PE.Binary: 390 | self.type = "PE" 391 | log.debug("Parsed with lief as: {}".format(self.type)) 392 | else: 393 | log.debug("File is a currently unsupported format: {}".format(self.type)) 394 | 395 | except lief.bad_file as e: 396 | log.warning("Failed to parse with lief: {}".format(e)) 397 | 398 | elif self.lib == "pefile": 399 | try: 400 | self.bin = pefile.PE(self.abs_fpath) 401 | self.type = "PE" 402 | 403 | log.debug("Parsed with pefile as: {}".format(self.type)) 404 | 405 | except pefile.PEFormatError as e: 406 | log.warning("Failed to parse with pefile: {}".format(e)) 407 | 408 | def get_virtual_ep(self): 409 | 410 | if self.lib == "lief": 411 | return self.bin.optional_header.addressof_entrypoint 412 | elif self.lib == "pefile": 413 | return self.bin.OPTIONAL_HEADER.AddressOfEntryPoint 414 | 415 | def get_physical_from_rva(self, rva): 416 | 417 | if self.lib == "lief": 418 | return self.bin.rva_to_offset(rva) 419 | elif self.lib == "pefile": 420 | return self.bin.get_physical_by_rva(rva) 421 | 422 | def sections(self): 423 | 424 | index = 0 425 | sections = [] 426 | 427 | for lib_section in self.bin.sections: 428 | 429 | section = section_proxy(self.lib, lib_section) 430 | 431 | yield index, section 432 | index += 1 433 | 434 | 435 | # # Part of bin_proxy - abstracts section calls 436 | class section_proxy(object): 437 | """Abstract for different binary parsers types in use""" 438 | 439 | def __init__(self, lib, lib_section): 440 | super(section_proxy, self).__init__() 441 | self.lib = lib 442 | self.lib_section = lib_section 443 | 444 | if self.lib == "lief": 445 | self.name = lib_section.name 446 | self.offset = lib_section.offset 447 | elif self.lib == "pefile": 448 | self.name = str(lib_section.Name.rstrip(b"\x00").decode("utf-8")) 449 | self.offset = self.lib_section.PointerToRawData 450 | self.size = self.lib_section.SizeOfRawData 451 | 452 | 453 | # # Read files as chunks 454 | def get_chunk(fh, chunksize=8192): 455 | while True: 456 | chunk = fh.read(chunksize) 457 | 458 | # # Convert to bytearray if not python 3 459 | if sys.version_info[0] <= 3: 460 | chunk = bytearray(chunk) 461 | 462 | if chunk: 463 | yield list(chunk) 464 | else: 465 | break 466 | 467 | 468 | # # Some samples may have a corrupt section name (e.g. 206c0533ce9bf83ecdf904bec2f3532d) 469 | def safe_section_name(s_name, index): 470 | if s_name == "" or s_name == None: 471 | s_name = "sect_{:d}".format(index) 472 | 473 | # # Long sections names upset matplotlib 474 | if len(s_name) > 15: 475 | s_name = "{}...".format(s_name[0:12]) 476 | 477 | return s_name 478 | 479 | 480 | # # Assign a colour to the section name. Static between samples 481 | def hash_colour(text): 482 | 483 | name_colour = int("F" + hashlib.md5(text.encode("utf-8")).hexdigest()[:4], base=16) 484 | np.random.seed(int(name_colour)) 485 | return matplotlib.colors.to_rgba( 486 | np.random.rand( 487 | 3, 488 | ) 489 | ) 490 | 491 | 492 | # # Calculate entropy given a list 493 | def shannon_ent(labels, base=256): 494 | value, counts = np.unique(labels, return_counts=True) 495 | norm_counts = counts / counts.sum() 496 | e = 0 497 | base = e if base is None else base 498 | return -(norm_counts * np.log(norm_counts) / np.log(base)).sum() 499 | 500 | 501 | if __name__ == "__main__": 502 | 503 | import argparse 504 | 505 | logging.basicConfig(stream=sys.stderr, format="%(levelname)s | %(message)s", level=logging.DEBUG) 506 | logging.getLogger("matplotlib").setLevel(logging.CRITICAL) 507 | log = logging.getLogger("ent") 508 | 509 | # ## Global graphing default values 510 | __figformat__ = "png" # Output format of saved figure 511 | __figsize__ = (12, 4) # Size of figure in inches 512 | __figdpi__ = 100 # DPI of figure 513 | __showplt__ = False # Show the plot interactively 514 | __blob__ = False # Treat all files as binary blobs. Disable intelligently parsing of file format specific features. 515 | 516 | parser = argparse.ArgumentParser() 517 | parser.add_argument( 518 | "-f", 519 | "--file", 520 | type=str, 521 | required=True, 522 | metavar="malware.exe", 523 | help="Give me a graph of this file. See - if this is the only argument specified.", 524 | ) 525 | parser.add_argument( 526 | "--showplt", action="store_true", default=__showplt__, help="Show plot interactively (disables saving to file)" 527 | ) 528 | parser.add_argument( 529 | "--format", 530 | type=str, 531 | default=__figformat__, 532 | choices=["png", "pdf", "ps", "eps", "svg"], 533 | required=False, 534 | metavar="png", 535 | help="Graph output format", 536 | ) 537 | parser.add_argument("--figsize", type=int, nargs=2, default=__figsize__, metavar="#", help="Figure width and height in inches") 538 | parser.add_argument("--dpi", type=int, default=__figdpi__, metavar=__figdpi__, help="Figure dpi") 539 | parser.add_argument( 540 | "--blob", 541 | action="store_true", 542 | default=__blob__, 543 | help="Do not intelligently parse certain file types. Treat all files as a binary blob. E.g. don't add PE entry point or section splitter to the graph", 544 | ) 545 | 546 | args_setup(parser) 547 | 548 | args = parser.parse_args() 549 | 550 | args.graphtype = __name__ 551 | 552 | args_validation(args) 553 | 554 | args_dict = args.__dict__ 555 | args_dict["abs_fpath"] = args.file 556 | args_dict["fname"] = os.path.basename(args.file) 557 | args_dict["abs_save_fpath"] = "{}.{}".format(os.path.basename(args_dict["abs_fpath"]), args.format) 558 | 559 | plt, save_kwargs, json_data = generate(**args_dict) 560 | 561 | fig = plt.gcf() 562 | fig.set_size_inches(*args.figsize, forward=True) 563 | 564 | plt.tight_layout() 565 | 566 | if args.showplt: 567 | log.debug("Opening graph interactively") 568 | plt.show() 569 | else: 570 | plt.savefig(args_dict["abs_save_fpath"], format=args.format, dpi=args.dpi, **save_kwargs) 571 | log.info('Graph saved to: "{}"'.format(args_dict["abs_save_fpath"])) 572 | -------------------------------------------------------------------------------- /binGraph/graphs/hist/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/geekscrapy/binGraph/e149a06305316e215815fb0c5011b424a1865ace/binGraph/graphs/hist/__init__.py -------------------------------------------------------------------------------- /binGraph/graphs/hist/graph.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | 3 | """ 4 | Byte histogram over all file 5 | ------------------------------------------- 6 | abs_fpath: Absolute file path - File to load and analyse 7 | fname: Filename 8 | 9 | no_zero bool: Remove 0x00 from the graph, sometimes this blows other results due to there being numerous amounts - also see log 10 | width int: Sample width 11 | g_log bool: Whether to apply a log scale to occurance axis 12 | no_order bool: Remove the ordered histogram - it shows overall distribution 13 | """ 14 | 15 | from __future__ import division 16 | 17 | from __future__ import absolute_import 18 | import os 19 | import sys 20 | import numpy as np 21 | import matplotlib 22 | 23 | matplotlib.use("Agg") 24 | import matplotlib.ticker as ticker 25 | import matplotlib.pyplot as plt 26 | from matplotlib.ticker import MaxNLocator 27 | from collections import Counter 28 | 29 | import logging 30 | 31 | log = logging.getLogger("graph.hist") 32 | 33 | # # Graph defaults 34 | __no_zero__ = False 35 | __width__ = 1 36 | __g_log__ = True 37 | __no_order__ = False 38 | __colours__ = ["#ff01d5", "#01ff2b"] 39 | 40 | # Set args in args parse 41 | def args_setup(arg_parser): 42 | 43 | arg_parser.add_argument( 44 | "--no_zero", 45 | action="store_true", 46 | default=__no_zero__, 47 | help="Remove 0x00 from the graph, sometimes this blows other results due to there being numerous amounts - also see --no_log", 48 | ) 49 | arg_parser.add_argument("--width", type=int, default=__width__, metavar=__width__, help="Sample width") 50 | arg_parser.add_argument( 51 | "--no_log", action="store_false", default=__g_log__, help="Do _not_ apply a log scale to occurance axis" 52 | ) 53 | arg_parser.add_argument( 54 | "--no_order", 55 | action="store_true", 56 | default=__no_order__, 57 | help="Remove the ordered histogram - It shows overall distribution when on", 58 | ) 59 | arg_parser.add_argument( 60 | "--colours", 61 | type=str, 62 | nargs=2, 63 | default=__colours__, 64 | metavar="#ff01d5", 65 | help="Colours for the graph. First value is the ordered graph", 66 | ) 67 | 68 | 69 | # Validate graph specific arguments 70 | class ArgValidationEx(Exception): 71 | pass 72 | 73 | 74 | def args_validation(args): 75 | 76 | # # Test to see what matplotlib backend is setup 77 | backend = matplotlib.get_backend() 78 | if not backend == "TkAgg": 79 | log.warning( 80 | '{} matplotlib backend in use. This graph generation was tested with "TkAgg", bugs may lie ahead...'.format(backend) 81 | ) 82 | 83 | # # Test to see if we should use defaults 84 | if args.graphtype == "all": 85 | args.no_zero = __no_zero__ 86 | args.width = __width__ 87 | args.no_log = __g_log__ 88 | args.no_order = __no_order__ 89 | args.colours = __colours__ 90 | 91 | try: 92 | args.colours[0] = matplotlib.colors.to_rgba(args.colours[0]) 93 | args.colours[1] = matplotlib.colors.to_rgba(args.colours[1]) 94 | except ValueError as e: 95 | raise ArgValidationEx("Error parsing --colours: {}".format(e)) 96 | 97 | 98 | def generate( 99 | abs_fpath, fname, no_zero=__no_zero__, width=__width__, g_log=__g_log__, no_order=__no_order__, colours=__colours__, **kwargs 100 | ): 101 | 102 | file_array = [] 103 | with open(abs_fpath, "rb") as fh: 104 | for x in bytearray(fh.read()): 105 | file_array.append(x) 106 | 107 | log.debug('Read: "{}", length: {}'.format(fname, len(file_array))) 108 | 109 | log.debug("Ignore 0's: {}".format(no_zero)) 110 | no_zero = -int(no_zero) 111 | 112 | fig, ax = plt.subplots() 113 | 114 | # # Add a byte hist ordered 1 > 255 115 | ordered_row = [] 116 | c = Counter(file_array) 117 | for x in range(no_zero, 256): 118 | ordered_row.append(c[x]) 119 | 120 | ax.bar( 121 | np.array(list(range(no_zero, 256))), 122 | np.array(ordered_row), 123 | align="edge", 124 | width=width, 125 | label="Bytes", 126 | color=colours[0], 127 | log=g_log, 128 | zorder=0, 129 | linewidth=0, 130 | ) 131 | log.debug("Graphed binary array") 132 | 133 | # # Add a byte hist ordered by occurrence - shows general distribution 134 | if not no_order: 135 | sorted_row = [] 136 | c = Counter(file_array) 137 | for x in range(no_zero, 256): 138 | sorted_row.append(c[x]) 139 | 140 | sorted_row.sort() 141 | sorted_row.reverse() 142 | 143 | ax.bar( 144 | np.array(list(range(no_zero, 256))), 145 | np.array(sorted_row), 146 | width=width, 147 | label="Ordered", 148 | color=colours[1], 149 | log=g_log, 150 | zorder=1, 151 | alpha=0.5, 152 | linewidth=0, 153 | ) 154 | log.debug("Graphed ordered binary array") 155 | 156 | # # Formatting and watermarking 157 | ax.xaxis.set_major_formatter(ticker.FuncFormatter(lambda x, pos: ("0x{:02X}".format(int(x))))) 158 | ax.xaxis.set_major_locator(MaxNLocator(20)) 159 | ax.set_xlabel( 160 | "Bytes (0x00 included: {}, {})".format( 161 | (True if no_zero == 0 else False), ("width 1" if width == 1 else "width: " + str(width)) 162 | ) 163 | ) 164 | ax.set_ylabel("Occurrence (log {})".format(g_log)) 165 | 166 | # Include 0x00 byte? 167 | if no_zero: 168 | ax.set_xlim(1, 255) 169 | ax.set_xbound(lower=1, upper=255) 170 | log.debug("Ignoring 0x00, setting xlim/xbounds to (1,255)") 171 | else: 172 | ax.set_xlim(0, 255) 173 | ax.set_xbound(lower=0, upper=255) 174 | log.debug("Setting xlim/xbounds to (0,255)") 175 | 176 | plt.legend(loc="upper center", ncol=3, bbox_to_anchor=(0.5, 1.07), framealpha=1) 177 | 178 | plt.title("Byte histogram: {}\n".format(fname)) 179 | 180 | return plt, {}, {} 181 | 182 | 183 | if __name__ == "__main__": 184 | 185 | import argparse, sys 186 | 187 | logging.basicConfig(stream=sys.stderr, format="%(levelname)s | %(message)s", level=logging.DEBUG) 188 | logging.getLogger("matplotlib").setLevel(logging.CRITICAL) 189 | log = logging.getLogger("hist") 190 | 191 | # ## Global graphing default values 192 | __figformat__ = "png" # Output format of saved figure 193 | __figsize__ = (12, 4) # Size of figure in inches 194 | __figdpi__ = 100 # DPI of figure 195 | __showplt__ = False # Show the plot interactively 196 | __blob__ = False # Treat all files as binary blobs. Disable intelligently parsing of file format specific features. 197 | 198 | parser = argparse.ArgumentParser() 199 | parser.add_argument( 200 | "-f", 201 | "--file", 202 | type=str, 203 | required=True, 204 | metavar="malware.exe", 205 | help="Give me a graph of this file. See - if this is the only argument specified.", 206 | ) 207 | parser.add_argument( 208 | "--showplt", action="store_true", default=__showplt__, help="Show plot interactively (disables saving to file)" 209 | ) 210 | parser.add_argument( 211 | "--format", 212 | type=str, 213 | default=__figformat__, 214 | choices=["png", "pdf", "ps", "eps", "svg"], 215 | required=False, 216 | metavar="png", 217 | help="Graph output format", 218 | ) 219 | parser.add_argument("--figsize", type=int, nargs=2, default=__figsize__, metavar="#", help="Figure width and height in inches") 220 | parser.add_argument("--dpi", type=int, default=__figdpi__, metavar=__figdpi__, help="Figure dpi") 221 | parser.add_argument( 222 | "--blob", 223 | action="store_true", 224 | default=__blob__, 225 | help="Do not intelligently parse certain file types. Treat all files as a binary blob. E.g. don't add PE entry point or section splitter to the graph", 226 | ) 227 | 228 | args_setup(parser) 229 | 230 | args = parser.parse_args() 231 | 232 | args.graphtype = __name__ 233 | 234 | args_validation(args) 235 | 236 | args_dict = args.__dict__ 237 | args_dict["abs_fpath"] = args.file 238 | args_dict["fname"] = os.path.basename(args.file) 239 | args_dict["abs_save_fpath"] = "{}.{}".format(os.path.basename(args_dict["abs_fpath"]), args.format) 240 | 241 | plt, save_kwargs, json_data = generate(**args_dict) 242 | 243 | fig = plt.gcf() 244 | fig.set_size_inches(*args.figsize, forward=True) 245 | 246 | plt.tight_layout() 247 | 248 | if args.showplt: 249 | log.debug("Opening graph interactively") 250 | plt.show() 251 | else: 252 | plt.savefig(args_dict["abs_save_fpath"], format=args.format, dpi=args.dpi, **save_kwargs) 253 | log.info('Graph saved to: "{}"'.format(args_dict["abs_save_fpath"])) 254 | -------------------------------------------------------------------------------- /example-ent.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/geekscrapy/binGraph/e149a06305316e215815fb0c5011b424a1865ace/example-ent.png -------------------------------------------------------------------------------- /example-hist.json: -------------------------------------------------------------------------------- 1 | {"info": {"title": "6fee4...30480", "info": {"Standard deviation": 7137.470709805633, "Variance": 50943488.13333333}}, "graph": 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", "cmdline": "files recurse __dummy prefix save_dir json graphtitle showplt format figsize dpi blob verbose graphtype chunks ibytes entcolour no_zero width no_log no_order colours abs_fpath fname cleaned_fname", "version": {"codename": "Iron Airedale", "digit": 3.2, "run_date": "2018-10-31T23:45:26.418728"}} -------------------------------------------------------------------------------- /example-hist.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/geekscrapy/binGraph/e149a06305316e215815fb0c5011b424a1865ace/example-hist.png -------------------------------------------------------------------------------- /files.txt: -------------------------------------------------------------------------------- 1 | /bin/false 2 | /bin/bash 3 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | from setuptools import setup, find_packages 2 | 3 | setup( 4 | name='binGraph', 5 | version='3.3.1', 6 | description='CAPE\'s version of binGraph', 7 | license='GNU Affero General Public License v3.0', 8 | packages=find_packages(), 9 | url='https://github.com/CAPESandbox/binGraph', 10 | author='https://github.com/geekscrapy', 11 | classifiers=[ 12 | "Development Status :: 5 - Production/Stable", 13 | "Environment :: Console", 14 | "Intended Audience :: Information Technology", 15 | "Intended Audience :: Science/Research", 16 | "Natural Language :: English", 17 | "Operating System :: POSIX :: Linux", 18 | "Programming Language :: Python :: 3.8", 19 | "Programming Language :: Python :: 3.9", 20 | "Programming Language :: Python :: 3.10", 21 | "Programming Language :: Python :: 3.11", 22 | "Programming Language :: Python :: 3.12", 23 | "Topic :: Security", 24 | ], 25 | entry_points={ 26 | 'console_scripts': [ 27 | 'binGraph = binGraph:__main__.main', 28 | ], 29 | }, 30 | install_requires=[ 31 | "matplotlib>=3.3.0", # 3.5.2 32 | "numpy>=1.19.1", # 1.21.0 33 | "pefile>=2021.9.3", 34 | ], 35 | ) 36 | --------------------------------------------------------------------------------