AutoFunkt

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    			malleable c2 => serverless cloud functions

Written by Adam Rose GitHub | twitter

Acknowledgements

• Thank you to Brett Fitzpatrick for the excellent pyMalleableProfileParser library.
• Many thanks to my colleagues @FortyNorthSecurity, especially Chris Truncer, Joe Leon, and Grimm1e

Prerequisites

• Python 3.9 or higher
• Google Cloud Functions CLI
• Azure Functions Core Tools

Usage

1. Clone the repo: git clone https://github.com/FortyNorthSecurity/AutoFunkt.git
2. Install requirements: pip3 install -r requirements.txt
3. Generate Google Cloud Functions: python3 autofunkt.py -p /path/to/profile -t https://teamserver.url -o /path/to/output/directory -g
4. Generate Azure Functions: python3 autofunkt.py -p /path/to/profile -t https://teamserver.url -o /path/to/output/directory -a -s <azure-subdomain> -r <route-prefix>

Command Line Arguments

• -p, --profile_path: Path to Malleable C2 profile (required)
• -t, --teamserver_url: Teamserver URL (required)
• -o, --output-dir: Output directory (required)
• -g, --google: Generate Google Cloud Functions (optional, default: False)
• -a, --azure: Generate Azure Functions (optional, default: False)
• -s, --azure-subdomain: Azure subdomain (required for Azure)
• -r, --route-prefix: Azure custom route prefix (optional, default: None)

Notes

• The teamserver_url must end with a / (slash).
• The uri value in the http-get and http-post blocks of the Malleable C2 profile must contain only one URI string.
• For Google Cloud Functions, the program creates a directory for each URI value and generates a main.py and requirements.txt file in each directory.
• For Azure Functions, the program creates an azure directory and generates a main.py, host.json, proxies.json, and requirements.txt file in it.