Projects sharing features with Syzkaller

AFL++ is a coverage-guided fuzzing framework that discovers crashes and hangs in software by mutating inputs while tracking which code paths are exercised. It functions as both a fuzzing engine and a campaign manager, supporting targets with or without source code through compile-time instrumentation, dynamic binary instrumentation, and emulation. The framework includes tools for crash triage and analysis, test case minimization, and campaign deployment across local or distributed environments. The framework distinguishes itself through its breadth of instrumentation backends, allowing users

This project is a comprehensive software fuzzing knowledge base and technical guide designed for discovering software bugs and vulnerabilities. It serves as a resource for implementing coverage-guided, structure-aware, and hybrid fuzzing across various targets, including compiled binaries and hardware kernels. The resource provides specialized guidance on using grammars and defined data formats to generate syntactically valid inputs for complex APIs. It also details methods for combining grey-box fuzzing with symbolic execution to reach deep execution paths and utilizes binary instrumentation

Janus: a state-of-the-art file system fuzzer on Linux

Linux kernel source tree

A Kernel fuzzer focusing on race bugs

Fuzzer for Linux Kernel Drivers

Contextual Content Discovery Tool

Linux system call fuzzer

Source code for ACTOR, an action-guided kernel fuzzer (USENIX 2023 paper)

Fuzzing101 is an educational resource providing a structured curriculum and containerized security labs for learning software fuzzing and vulnerability research. It functions as a training course that guides users through the process of identifying security flaws using systematic input manipulation and memory corruption analysis. The project distinguishes itself by providing isolated environments that ensure consistent build dependencies for practicing software instrumentation and crash triaging. It includes a practical tutorial on using evolutionary fuzzing engines and instrumentation tools

This project is a framework for the autonomous discovery and remediation of security vulnerabilities using large language model agents. It functions as a security research pipeline that automates the process of reconnaissance, crash discovery, and exploitability analysis to identify reproducible software bugs. The system distinguishes itself by utilizing a containerized agent sandbox that restricts network egress and filesystem access to prevent host compromise. It employs a specialized patch generation and validation loop, which includes adversarial re-attack testing where a fresh agent atte

Panicparse is a toolset for Go crash analysis and runtime debugging. It functions as a panic stack trace parser, a race detector log parser, and a goroutine deduplicator designed to transform raw crash dumps and thread sanitizer output into structured, readable formats. The project distinguishes itself by converting complex stack traces into visual HTML reports with embedded source code. It reduces noise in highly parallelized processes by grouping identical goroutine stacks and prioritizes application code over standard library calls during parsing. The utility also covers live process moni

GraphQL security auditing script with a focus on performing batch GraphQL queries and mutations

ASOC, ASPM, DevSecOps, Vulnerability Management Using ArcherySec.

This tool generates age X25519 identity with a recipient that has a specified prefix. The output is identical to age-keygen.

a general-purpose fuzzer

pa a simple password manager https://passwordass.org

This project is a community-driven directory that serves as a comprehensive index of command-line tools, frameworks, and resources. It functions as a curated knowledge base designed to help users discover software for enhancing terminal environments and streamlining daily development tasks. The collection is maintained through an open-source contribution model, where community members manually verify and organize resources into structured categories. This collaborative approach ensures the directory remains a reliable reference for finding specialized utilities, alternative shell implementati

Sn1per is a vulnerability management platform and penetration testing orchestrator designed to automate reconnaissance, vulnerability scanning, and exploit verification. It functions as a dockerized security toolkit that coordinates multiple tools into a unified automated pipeline to identify security flaws across network and web assets. The platform features an attack surface manager for discovering internet-facing assets through OSINT, DNS enumeration, and certificate transparency. It distinguishes itself with an AI-powered security analyzer that uses large language models to summarize scan

Probable-Wordlists is a collection of curated data resources providing password frequency lists, character masks, and common identity identifiers for security research. These resources serve as credential analysis tools to identify popular password trends and support the creation of secure credentials. The project provides password frequency wordlists and security research wordlists, including common usernames and top-level domains. It includes password recovery datasets featuring character masks and rule sets designed to analyze vulnerability patterns. The repository covers a broad range of

bap - http Basic Authentication honeyPot

Krawl is a customizable, lightweight, cloud-native web deception server and anti-crawler that creates fake web applications with low-hanging vulnerabilities using realistic, randomly generated decoy data and AI-generated HTML templates.

This tool for brute discover GET and POST parameters.

Lonkero - Wraps around your attack surface. Professional-grade scanner for real penetration testing. Fast. Modular. Rust.

JWT brute force cracker written in C

DetectionLab is a reproducible Windows Active Directory security lab designed for testing detection capabilities. It uses an automation framework based on Vagrant and Packer to provision virtualized networks across multiple hypervisors and cloud platforms. The project utilizes Ansible for the declarative installation and configuration of domain services and endpoint security tools. It incorporates a browser-based remote access interface via Apache Guacamole to manage laboratory hosts without requiring standalone remote desktop clients. The environment includes a telemetry pipeline that aggre

BeEF is a modular security testing environment designed for browser exploitation and web application auditing. It functions as a platform for security professionals to evaluate client-side defenses by injecting persistent scripts into web browsers, establishing a bidirectional communication channel for remote command execution and data exfiltration. The framework distinguishes itself through its ability to use compromised browser sessions as proxies to conduct internal network reconnaissance, effectively bypassing perimeter security controls. It utilizes an event-driven control interface and