ctf-forensics
Comprehensive digital forensics and signal analysis toolkit for CTF challenges across disk, memory, network, and steganography domains.
- Covers 15+ forensics categories: disk/memory imaging (Volatility, VM forensics, coredumps), Windows registry/event logs/SAM, Linux logs/Docker, network analysis (PCAP, TLS decryption, SMB, NTLMv2), and browser artifact extraction
- Includes advanced steganography techniques: image LSB/bitplane extraction, PDF multi-layer stego, audio DTMF/FFT/SSTV, SVG keyframes, packet timing encoding, and file overlays
- Provides hardware signal decoding: VGA/HDMI/DisplayPort frame parsing, side-channel power analysis, acoustic keystroke analysis, and Flipper Zero .sub file handling
- Organized as quick-reference guides with one-liners, code snippets, and full parsing workflows for each technique; supports blockchain transaction tracing and uncommon file format identification
CTF Forensics & Blockchain
Quick reference for forensics CTF challenges. Each technique has a one-liner here; see supporting files for full details.
Prerequisites
Python packages (all platforms):
pip install volatility3 Pillow numpy matplotlib
Linux (apt):
apt install binwalk foremost libimage-exiftool-perl tshark sleuthkit \
ffmpeg steghide testdisk john pcapfix
macOS (Homebrew):
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