The Hamburglar

Setup

There are 2 versions of hamburglar, full and lite. The main branch is the full version, and hamburglar lite is on a separate branch.

Hamburglar

Full fledged scraping tool for artifact retrieval from multiple sources. There are some dependencies, so install them first:

pip3 install -r requirements.txt

Hamburglar also has the option of checking against file signatures during a hexdump. It will get skipped if not set up. To get it working, you will need to first create the database and a user:

CREATE DATABASE 
CREATE USER 'hamman'@'localhost' IDENTIFIED BY 'deadbeef';
GRANT ALL PRIVILEGES ON fileSign.signatures TO 'hamman'@'localhost';

Then, run magic_sig_scraper. This can be run on a cronjob to regularly update it, or just run it once:

python3 magic_sig_scraper.py

Hamburglar Lite

Multithreaded and recursive directory scraping script. Stores useful information with the filepath and finding. Hamburglar lite will never require external packages, and will always remain as a single script. Setup is as simple as requesting the file and using it:

wget https://raw.githubusercontent.com/needmorecowbell/Hamburglar/hamburglar-lite/hamburglar-lite.py

This is designed to be quickly downloaded and executed on a machine.

Operation

usage: hamburglar.py [-h] [-g] [-x] [-v] [-w] [-i] [-o FILE] [-y YARA] path

positional arguments:
  path                  path to directory, url, or file, depending on flag
                        used

optional arguments:
  -h, --help            show this help message and exit
  -g, --git             sets hamburglar into git mode
  -x, --hexdump         give hexdump of file
  -v, --verbose         increase output verbosity
  -w, --web             sets Hamburgler to web request mode, enter url as path
  -i, --ioc             uses iocextract to parse contents
  -o FILE, --out FILE   write results to FILE
  -y YARA, --yara YARA  use yara ruleset for checking

Directory Traversal

• python3 hamburglar.py ~/Directory/
  • This will recursively scan for files in the given directory, then analyzes each file for a variety of findings using regex filters

Single File Analysis

• python3 hamburglar.py ~/Directory/file.txt
  • This will recursively scan for files in the given directory, then analyzes each file for a variety of findings using regex filters

YARA Rule Based Analysis

• python3 hamburglar.py -y rules/ ~/Directory
  • This will compile the yara rule files in the rules directory and then check them against every item in Directory.

Git Scraping Mode

• python3 hamburglar.py -g https://www.github.com/needmorecowbell/Hamburglar
  • Adding -y <rulepath> will allow the repo to be scraped using yara rules

Web Request Mode

• python3 hamburglar.py -w https://google.com
  • Adding a -w to hamburgler.py tells the script to handle the path as a url.
  • Currently this does not spider the page, it just analyzes the requested html content

IOC Extraction

• python3 hamburglar.py -w -i https://pastebin.com/SYisR95m
  • Adding a -i will use iocextract to extract any ioc's from the requested url

Hex Dump Mode

• python3 hamburglar.py -x ~/file-to-dump
  • This just does a hex dump and nothing more right now -- could be piped into a file
  • This will eventually be used for binary analysis

Tips

• Adding -v will set the script into verbose mode, and -h will show details of available arguments
• Adding -o FILENAME will set the results filename, this is especially useful in scripting situations where you might want multiple results tables (ie github repo spidering)

Settings

• whitelistOn: turns on or off whitelist checking
• maxWorkers: number of worker threads to run concurrently when reading file stack
• whitelist: list of files or directories to exclusively scan for (if whitelistOn=True)
• blacklist: list of files, extensions, or directories to block in scan
• regexList: dictionary of regex filters with filter type as the key

The Hamburglar can find

• ipv4 addresses (public and local)
• emails
• private keys
• urls
• ioc's (using iocextract)
• cryptocurrency addresses
• anything you can imagine using regex filters and yara rules

Example output:

{
    "/home/adam/Dev/test/email.txt": {
        "emails": "{'[email protected]'}"
    },
    "/home/adam/Dev/test/email2.txt": {
        "emails": "{'[email protected]'}"
    },
    "/home/adam/Dev/test/ips.txt": {
        "ipv4": "{'10.0.11.2', '192.168.1.1'}"
    },
    "/home/adam/Dev/test/test2/email.txt": {
        "emails": "{'[email protected]', '[email protected]'}"
    },
    "/home/adam/Dev/test/test2/ips.txt": {
        "ipv4": "{'10.0.11.2', '192.168.1.1'}"
    },
    "/home/adam/Dev/test/test2/links.txt": {
        "site": "{'http://login.web.com'}"
    }
}

Contributions

• Please contribute! If there's an error let me know -- even better if you can fix it :)

• A big thank you to anyone who has helped:

  • adi928
  • jaeger-2601
  • tijko
  • joanbono and Xumeiquer for the rules from yara-forensics