Vulnerability Discovery
Showing 17 of 17 projects
The most comprehensive open dictionary of attack patterns, predictable resource locations, and regex for black-box application security testing.
A platform-agnostic binary analysis framework for disassembly, symbolic execution, and program analysis.
A curated collection of interesting, funny, and concerning search queries for Shodan.io to find exposed devices and services.
AFL++ is a community-enhanced, high-performance fork of the AFL fuzzer with advanced instrumentation, mutators, and speed improvements.
A security-oriented, feedback-driven, evolutionary software fuzzer that uses hardware and software code coverage to find bugs.
A collection of potentially dangerous file names and paths for security testing and fuzzing.
A fast semantic search tool for C/C++ codebases that uses AST pattern matching to help security researchers find interesting functionality.
A grammar-based DOM fuzzer that generates HTML, CSS, and JavaScript test cases to find security vulnerabilities in web browsers.
A curated list of awesome fuzzing resources, tools, and academic papers for software security testing.
A mutation-based coverage-guided fuzzer that increases branch coverage by solving path constraints without symbolic execution.
A hardware-assisted feedback fuzzing framework for discovering vulnerabilities in x86-64 OS kernels.
Discovers vulnerabilities in firmware using concolic analysis and function clustering.
A fuzzer for Linux kernel drivers that combines interface recovery via LLVM analysis with a fuzzing engine to find security vulnerabilities.
A Python-based framework for fuzzing Android's Stagefright media engine to discover security vulnerabilities.
A fuzzing tool for discovering vulnerabilities in Android native system services through automated interface analysis and testing.
A highly accessible and automated virtualization platform for security education and capture-the-flag exercises.
A kernel API fuzzer for macOS that automatically infers API models from execution logs to generate targeted fuzzers.
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