urwithajit9/bamfdetect

Identifies and extracts information from bots and other malware

bamfdetect

Identifies and extracts information from bots and other malware. Information is returned in a readable json format. bamfdetect works by reading files into RAM, applying any applicable preprocessors, then applying Yara signatures from modules to determine which module it matches. After a match is located, the module can then extract the configuration from the file.

Currently, only a preprocess for UPX files is supported. This preprocessor writes the file data to a temporary file, then calls upx -d on the temporary file, and rereads the data from that temporary file.

Currently Supported Malware

• Alina
• Andromeda
• Backoff
• BlackShades
• Dendroid
• Dexter
• Herpesnet
• Maazben
• MadnessPro
• pBot
• Pony
• ProjectHook

Module Development

Until I have time to write a guide for writing modules, please use existing modules as a means of writing your own.

Usage

cloud@strife:~/git/BAMF$ ./bamfdetect.py -h
usage: ./bamfdetect.py [-h] [-v] [-d] [-r] [-l] [-m MODULE] [path [path ...]]

Identifies and extracts information from bots and other malware

positional arguments:
  path                  Paths to files or directories to scan

optional arguments:
  -h, --help            show this help message and exit
  -v, --version         show program's version number and exit
  -d, --detect          Only detect files
  -r, --recursive       Scan paths recursively
  -l, --list            List available modules
  -m MODULE, --module MODULE
                        Modules to use, if not definedall modules are used

./bamfdetect.py v1.4.1 by Brian Wallace (@botnet_hunter)

Requirements

• pefile (python module)
• yara (python module)
• rarfile
• upx (binary)

Notes

PE files will be checked if they are UPX compressed before being scanned. If they are, they will be written to a temporary file, then decompressed with the UPX utility. Yara rules and extraction will then be applied to the resulting data.

This project has been moved from https://github.com/bwall/bamf