
awesome-ctf-resources
Curated list of Capture The Flag (CTF) frameworks, libraries, tools, and educational resources for solving challenges across cryptography,…

Curated list of Capture The Flag (CTF) frameworks, libraries, tools, and educational resources for solving challenges across cryptography,…

Free hands-on digital forensics labs for students and faculty

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

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

Formal modeling and analysis framework for hidden communication systems, enabling specification of covert channels, adversary models, and statistical…

Hides arbitrary payloads in PNG images using nibble-to-ASCII encoding and Fibonacci LSB steganography, with a C++ loader that extracts and executes…

Least Significant Bit Steganography for bitmap images (.bmp and .png), WAV sound files, and byte sequences. Simple LSB Steganalysis (LSB extraction)…

Steganographic prompt-injection defense for agentic AI using decode-time provenance binding, HMAC authentication, and MCP trust enforcement.

Repository to index useful tools for CTF's

The ultimate steganography and digital forensics toolkit. Hide and extract data across images, audio, video, documents, and network packets, or run…

Some setup scripts for security research tools.

This is the development tree. Production downloads are at:

The Python Code Tutorials

Zero-retraining sanitization that reorders permutation-equivalent neural network units to destroy malware embedded via weight-steganography attacks…

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

Simple steganography program based on the LSB method.

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

Evades LLM text watermarks by injecting Unicode variation selectors; includes the SynthID generator, mean-g detector, normalization defenses, and…