
CyberChef
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis

The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis

A privacy-first app that strips AI watermarks from content you own.

Remove visible and invisible AI watermarks and provenance metadata from images and video. Python library and CLI for SynthID, C2PA, EXIF, IPTC, XMP,…

Free hands-on digital forensics labs for students and faculty

A list of Capture The Flag (CTF) frameworks, libraries, resources and software for started/experienced CTF players 🚩

Local steganography app for hiding text, images, or files inside carrier images with AES-256 encryption, EXIF editing, watermarking, and batch…

将文件隐写进MP4/MKV文件中 (Embed files into MP4/MKV files.)

Advanced EDR Evasion via AI Telemetry Spoofing & WASM Sandboxing. Project Onyx is a PoC Red Team pipeline designed to demonstrate advanced evasion…

Automated steganalysis platform that detects hidden data in images using 16 parallel analyzers, bit-layer visualization, and an in-app wiki for CTF…

Some setup scripts for security research tools.

Multi-module offensive security toolkit for SOCKS5 proxy chaining, port scanning, DNS enumeration, hash cracking, reverse shell generation,…

High-performance, streaming-first container format with per-block codec polymorphism and robust data recoverability. Reference implementation in Rust.

Steganography Tool for JPG Images

Robust audio watermarking framework embedding binary messages into magnitude spectrograms, with differentiable attack simulation, Q-Former pooling,…

Provably secure linguistic steganography embedding secret messages into LLM-generated text via rotation range-coding. Includes embed, extract, and…

Hide files inside images: encrypted, signed, deniable, and JPEG-robust. Python CLI and library with built-in steganalysis and an in-browser demo.

This is the development tree. Production downloads are at:

Curated reading list and taxonomy of attack and defense research for mobile on-device AI systems, covering adversarial, backdoor, model stealing, and…