Mayhem Code Security
Mayhem Code Security offers a cutting-edge AI-driven platform designed for industries like aerospace and medical. By simulating hacker behavior, it continuously tests applications, identifying both known and unknown vulnerabilities. Its self-learning machine learning technology autonomously generates thousands of tests per minute, providing prioritized defect reports and enabling developers to enhance software quality without recompiling code.
Top Mayhem Code Security Alternatives
ClusterFuzz
ClusterFuzz serves as a robust fuzzing infrastructure designed to uncover security and stability vulnerabilities in software.
afl-unicorn
AFL-Unicorn enables users to fuzz binaries that can be emulated by the Unicorn Engine.
ImmuneBytes
Offering robust audit services, ImmuneBytes enhances blockchain security by identifying vulnerabilities in smart contracts through expert analysis.
API Fuzzer
API Fuzzer empowers users to identify vulnerabilities in their APIs by fuzzing request attributes using established pentesting techniques.
BlackArch Fuzzer
BlackArch Fuzzer is a specialized tool within the BlackArch Linux pentesting distribution, designed to enhance security testing through fuzzing.
Atheris
Atheris is a sophisticated coverage-guided fuzzing engine for Python, adept at testing both Python code and native CPython extensions.
Defensics Fuzz Testing
Users can leverage over 300 maintained fuzz testing suites, facilitating targeted testing across various protocols...
Awesome Fuzzing
It features a curated collection of books, courses, tutorials, and tools, including vulnerable applications for...
LibFuzzer
It tracks code coverage via LLVM's SanitizerCoverage, evolving input data to maximize testing efficiency...
BFuzz
By utilizing HTML input, it opens a new browser instance and runs multiple test cases...
Peach Fuzzer
Utilizing Peach Pit files, users can define data structures and relationships for targeted fuzzing...
Google ClusterFuzz
Leveraging advanced techniques, it automates bug filing and triage while supporting multiple fuzzing engines...
OWASP WSFuzzer
By simulating unexpected inputs, it identifies vulnerabilities, such as buffer overflows and DoS attacks...
Solidity Fuzzing Boilerplate
Users can leverage Echidna and Foundry's fuzzing capabilities, deploy various Solidity versions in Ganache, and...
Radamsa
By transforming valid data samples into varied outputs, Radamsa has successfully identified numerous critical bugs...
Top Mayhem Code Security Features
- AI-driven behavioral analysis
- Continuous vulnerability detection
- Docker compatibility
- Self-learning machine learning
- Autonomous test generation
- Background continuous testing
- Risk-based defect prioritization
- Actionable defect reproduction
- Comprehensive security coverage
- Integration with existing tools
- Real-time bug identification
- Focus on critical vulnerabilities
- No recompilation required
- Extensive code coverage
- Fast and efficient fuzz testing
- Adaptive testing techniques
- User-friendly onboarding process
- Support for multiple languages
- Instant feedback for developers.
