30 open-source projects similar to antonio-morales/fuzzing101, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Fuzzing101 alternative.
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
MBE is a security research educational resource providing binary exploitation courseware and a deployable CTF wargame environment. It functions as a structured curriculum of labs and materials designed for learning reverse engineering and memory corruption. The project provides containerized lab infrastructure and a binary analysis toolchain to ensure a controlled setting for vulnerability research. It utilizes isolated environments to deploy binary exploitation tasks, preventing interference and system instability. The system covers the provisioning of vulnerable environments through virtua
go-fuzz is a coverage-guided randomized testing tool for identifying crashes and logic bugs in Go code. It consists of a fuzzer that evolves random inputs based on code execution paths, an instrumentation tool that produces binaries for tracking coverage, and a seed corpus manager. The tool utilizes compile-time binary instrumentation to monitor branch coverage and employs a feedback-driven mutation loop to prioritize inputs that reach new sections of the codebase. It includes capabilities for comparative differential testing to identify logic errors by executing different implementations of
AFL is a coverage-guided fuzzer and security vulnerability scanner used to identify software bugs and memory corruption by feeding programs mutated data. It functions as a binary instrumentation tool and a test case minimizer to locate crashes and isolate the smallest set of bytes causing a fault. The project distinguishes itself through its ability to operate as a parallel fuzzing orchestrator, distributing workloads across multiple CPU cores or networked machines. It utilizes dictionary-based mutation for complex file formats and performs input sensitivity analysis to identify critical sect
ClusterFuzz is an automated platform that runs coverage-guided fuzzers at scale to find security and stability bugs in software. It orchestrates libFuzzer and AFL++ across distributed clusters of worker bots, collecting coverage feedback to guide input mutation and discover crashes. The platform provides a web-based dashboard for configuring fuzzing jobs, monitoring progress, and inspecting crash reports, with role-based access control to restrict sensitive features. The system automates the full fuzzing lifecycle, from build pipeline integration and corpus management to crash triage and bug
Syzkaller is an unsupervised, coverage-guided kernel fuzzer that automatically generates and mutates system call sequences to find bugs in operating system kernels. It operates without human intervention, using a closed feedback loop of input generation, execution, crash detection, and corpus refinement to continuously explore kernel code paths. The fuzzer distinguishes itself by supporting multiple operating system kernels, including Linux, FreeBSD, and Windows, through per-platform syscall harnesses that abstract system call interfaces behind a common driver. It uses declarative description
hacker-scripts is a multi-purpose toolkit comprising a security vulnerability testing suite, a keyword-driven email automator, and a TCP remote hardware controller. It provides a collection of scripts for identifying security weaknesses and conducting controlled hacking experiments across multiple programming language environments. The system automates email workflows by scanning headers and bodies for specific strings to trigger server responses and sends randomized text and email alerts based on system activity. It also enables remote hardware control by sending binary commands over network
This is a public archive of vulnerability findings, proof-of-concept code, and technical reports detailing security flaws discovered in third-party software. It functions as a coordinated vulnerability disclosure platform, enabling private reporting to vendors and structured publication of advisories after a fix is released or a 90-day deadline passes. The repository provides modular security analysis tooling—standalone scripts and binaries each targeting a specific bug class for automated detection—alongside a cross-platform fuzzing framework that runs tests across multiple operating systems
Strix is an automated security research and vulnerability scanning platform that leverages language models to orchestrate complex security analysis tasks. It functions as a comprehensive framework for penetration testing and continuous security integration, allowing users to embed automated vulnerability research directly into development pipelines or execute it within isolated, containerized environments. The platform distinguishes itself through a multi-agent orchestration engine that coordinates specialized autonomous agents to perform parallel security assessments. By integrating LLM-agno
Semgrep is a static analysis security testing tool designed to identify vulnerabilities and logic errors by matching source code against declarative patterns. It functions as an automated scanner that integrates into development workflows to detect insecure code patterns and enforce coding standards before deployment. The engine utilizes a language-agnostic intermediate representation and a modular parser architecture to normalize diverse programming languages into a unified format. This allows for consistent rule execution across different codebases, enabling users to perform custom structur
This project is a comprehensive, community-sourced knowledge base designed for security professionals and researchers. It functions as a centralized repository of offensive security techniques, providing a structured collection of exploit payloads, attack vectors, and methodologies for conducting vulnerability assessments and penetration testing. The repository distinguishes itself through a cross-platform payload taxonomy that categorizes exploitation methods by vulnerability type and target environment, enabling rapid lookup during security assessments. It maintains high standards of data i
Atomic Red Team is an adversary simulation tool and detection validation suite designed to emulate attacker behaviors. It functions as a security control testing framework that uses a library of portable tests to verify if security monitoring and alerting systems correctly identify specific malicious techniques. The project serves as a MITRE ATT&CK emulation framework, mapping individual test executions to a standardized industry taxonomy of adversary behaviors. This mapping allows for the validation of security controls against the MITRE ATT&CK matrix to identify gaps in detection and respon
PeiQi-WIKI-Book is a cybersecurity knowledge base and security research wiki. It functions as a markdown static site generator that converts structured text files into a set of interconnected HTML pages. This system serves as a curated collection of technical documentation and guides focused on vulnerability research, code auditing, and penetration testing. The project utilizes a git-driven documentation workflow, using version control hooks to automatically update a live website when content changes. It features a client-side searchable index that allows users to find security topics without
This project is a machine learning curriculum and data science educational resource. It provides a structured set of instructional materials and hands-on projects designed for learning machine learning concepts and the implementation of predictive models. The resource functions as a training guide for supervised learning, focusing on the development of models for image classification and digit recognition. It uses a project-based training approach that pairs theoretical lessons with dataset-driven model training and evaluation. The curriculum covers the mathematical foundations of machine le
EHole is a specialized toolkit for network asset parsing, binary transformation, payload generation, and vulnerability research. It functions as an asset discovery and fingerprinting tool designed to identify software versions and high-value assets across IP ranges and URLs using custom fingerprints. The project provides a vulnerability research toolkit for decrypting software credentials and retrieving factory default passwords for security devices and web applications. It also includes a security payload generator for encoding and escaping command strings to bypass shell tokenization and ex
dirsearch is a command-line security tool and web path scanner used for discovering hidden directories and files on web servers. It functions as a recursive directory fuzzer and brute-force utility that identifies undocumented paths and sensitive files using wordlists and HTTP status codes. The tool distinguishes itself through template-driven path generation and an automated HTTP response filter that uses status codes, content length, and regex patterns to isolate valid targets. It supports recursive directory crawling to map complex web structures and provides state-persistence serializatio
ExploitDB is a curated archive of exploit code and vulnerability data designed for penetration testing and security research. It serves as an offensive security knowledge base and a repository of publicly available proof-of-concept code used to validate software flaws. The project provides a searchable collection of historical and current exploit vectors. It supports security threat intelligence by tracking public releases and aids in vulnerability research by providing a reference library for analyzing how specific systems can be compromised. The archive is managed through a curated input p
This project is a set of specialized utilities for generating malformed documents, obfuscating payloads, and crafting specific attack vectors to evaluate the resilience of security scanners. It functions as a PDF fuzzing framework and security testing tool designed to create PDF files with embedded payloads for verifying how document viewers and web applications handle vulnerabilities. The toolkit provides capabilities for encoding and hiding malicious content to test the detection effectiveness of security scanners. It includes a security payload generator for crafting specific attack vector
phpggc is a security assessment utility and command-line tool designed for the automated generation, obfuscation, and wrapping of serialized object chains. It functions as a gadget chain framework used to identify and verify remote code execution vectors by testing for PHP object injection vulnerabilities. The project provides a modular system for constructing complex serialized object sequences and includes a dedicated payload obfuscator to transform byte streams for bypassing web application firewalls and security filters. It also features a generator for wrapping serialized data into archi
This project is an educational platform and curriculum designed to teach cloud-native engineering, infrastructure automation, and software delivery practices. It provides a structured roadmap for mastering core competencies, including container orchestration, GitOps workflows, and continuous integration and delivery. The platform distinguishes itself by combining technical training with professional career development. It offers hands-on projects, mentored simulations, and technical proficiency assessments that mirror real-world engineering environments. Users can progress through sequential
This project is a structured educational program and machine learning engineering course. It provides a comprehensive curriculum and learning path focused on data science, the development of predictive models, and the operational aspects of MLOps. The instructional material covers the full machine learning lifecycle, moving from basic data engineering to production deployment. This includes guides on wrapping models in APIs, utilizing container-based packaging, and implementing serverless architectures to host models in cloud environments. The program encompasses technical training in predic
This project is a collection of interactive Jupyter notebooks and a structured machine learning tutorial series. It serves as an educational resource for studying predictive modeling and statistical analysis through a curriculum of executable code examples. The notebooks are specifically designed to accompany video tutorials, integrating external video assets with live code to synchronize visual instruction with hands-on experimentation. This approach allows users to follow sequential lessons while executing and modifying machine learning workflows directly in a browser. The content covers t
This project is a web application security standard and vulnerability framework. It provides a comprehensive list of the most critical security risks facing web applications, paired with technical guidance and a structured methodology for identifying and mitigating these flaws. The framework functions as a secure coding guide and a risk assessment methodology, offering a standardized approach to prioritizing vulnerabilities based on their potential impact and likelihood of exploitation. It defines architectural patterns and technical recommendations to help developers implement defense in dep
HowToHunt is a bug bounty hunting knowledge base and a structured guide for web application penetration testing. It provides a research methodology for organizing security testing procedures and validating application behaviors against known vulnerability patterns. The project features a curated library of security flaws and reconnaissance techniques. It organizes security testing into modular playbooks, checklists, and categorical vulnerability mappings to align specific exploitation techniques with target weaknesses. The repository covers a systematic sequence of information gathering task
This project is a public exploit code archive and vulnerability database. It serves as a collection of documented software exploits and vulnerability data, providing a reference library of exploit scripts and payloads used to validate security flaws in target environments. The archive supports security threat intelligence, vulnerability research, and penetration testing workflows. It functions as a historical record of software vulnerabilities and the proof-of-concept code used to trigger them. The codebase is organized through directory-based categorization and flat-file data storage, utili
Drozer is a security testing framework and runtime analyzer for Android applications and devices. It functions as an exploit management framework and a security toolset used to identify vulnerabilities, misconfigurations, and leaks within the Android operating system and its installed applications. The framework enables the simulation of application behavior and the interaction with communication endpoints to detect security flaws. It manages the execution, analysis, and sharing of public exploits for mobile security research. The system provides capabilities for application auditing, vulner
This project is a vulnerability intelligence database and aggregator that organizes common vulnerabilities and exposures alongside their corresponding proof-of-concept exploit code. It functions as a security vulnerability tracker and an indexed directory of public exploit payloads. The system monitors new security flaws and updates to known exploits through repository watches and atom feeds. It utilizes automated aggregation to collect vulnerability details from centralized repositories and discovers associated exploit code via reference analysis and global searches. The tool provides capab
The Web Application Security Testing Guide is an open-source security testing standard and comprehensive framework of procedures for identifying vulnerabilities in web applications and services. It serves as a vulnerability assessment methodology and a web API security audit framework, providing a structured approach for conducting consistent and thorough security audits of web-based software. The project utilizes a methodology-based audit framework and checklist-driven workflows to ensure repeatable discovery and exploitation steps. It organizes security tests through taxonomy-based vulnerab
This project is a comprehensive web application penetration testing guide and vulnerability research framework. It provides a structured methodology for identifying and exploiting security flaws through a phased approach involving reconnaissance, analysis, and exploitation. The resource is distinguished by its use of a curated methodology framework that links theoretical vulnerability patterns to real-world bug bounty reports and historical exploit examples. It includes a payload-based testing library and a reference system that maps specific vulnerability categories to recommended third-part