resmack-fuzz-test

Resmack Prueba de Fuzzing Este proyecto es una exploración de un fuzzer guiado por retroalimentación que utiliza: ptrace para instrumentación con puntos de interrupción de memoria dinámica especificados por el proceso objetivo instantánea/restauración de procesos usando /proc/pid/map,...

honggfuzz

Honggfuzz Un fuzzer evolutivo, impulsado por retroalimentación y orientado a la seguridad. Honggfuzz es un fuzzer de propósito general que utiliza cobertura de código basada en software y hardware para encontrar errores. Es multiproceso, multihilo y admite fuzzing persistente para una velocidad...

Binary Decompilation LLM with Feedback-Driven Multi-Turn Refinement

Binary decompilation is fundamental to security tasks such as vulnerability discovery, malware inspection, and executable-only program understanding. Recent LLM-based decompilation methods have shown promising results, but most still follow a single-turn generation paradigm: given assembly code o...

PI-Hunter: Automated Red-Teaming for Exposing and Localizing Prompt Injections

Large Language Models LLMs are rapidly evolving into agentic systems that interact with external tools and environments, introducing new security risks such as indirect prompt injection attacks through untrusted external sources. Existing defenses mainly focus on blocking malicious content at...

Babel: Jailbreaking Safety Attention Via Obfuscation Distribution Optimized Sampling

Despite rigorous safety alignment, Large Language Models LLMs remain vulnerable to jailbreak attacks. Existing black-box methods often rely on heuristic templates or exhaustive trials, lacking mechanistic interpretability and query efficiency. In this study, we investigate an intrinsic...

Red-Teaming Text-To-Image Systems by Rule-Based Preference Modeling

Text-to-image T2I models raise ethical and safety concerns due to their potential to generate inappropriate or harmful images. Evaluating these models' security through red-teaming is vital, yet white-box approaches are limited by their need for internal access, complicating their use with...

GitGot - Semi-automated, Feedback-Driven Tool To Rapidly Search Through Troves Of Public Data On GitHub For Sensitive Secrets

GitGot is a semi-automated, feedback-driven tool to empower users to rapidly search through troves of public data on GitHub for sensitive secrets. How it Works During search sessions, users will provide feedback to GitGot about search results to ignore, and GitGot prunes the set of results. Users...

General Purpose Fuzzing: Honggfuzz

Honggfuzz is a general-purpose fuzzing tool. Given a starting corpus of test files, Hongfuzz supplies and modifies input to a test program and utilize the ptrace API / POSIX signal interface to detect and log crashes. Features Easy setup : No complicated configuration files or setup necessary —...