ClusterFuzz

ClusterFuzz

Google
CodeMender

CodeMender

Google DeepMind
+
+

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About

ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features to seamlessly integrate fuzzing into a software project’s development process. Fully automatic bug filing, triage, and closing for various issue trackers. Supports multiple coverages guided fuzzing engines for optimal results (with ensemble fuzzing and fuzzing strategies). Statistics for analyzing fuzzer performance, and crash rates. Easy to use web interface for management and viewing crashes. Support for various authentication providers using Firebase. Support for black-box fuzzing, test case minimization, and regression finding through bisection.

About

CodeMender is an AI-powered agent developed by DeepMind for automatically finding, diagnosing, and patching security vulnerabilities in software code. It combines advanced reasoning abilities (via Gemini Deep Think models) with program analysis tools, static analysis, dynamic analysis, differential testing, fuzzing, and SMT solvers, to identify root causes of flaws, generate high-quality fixes, and validate them to avoid regressions or functional breakage. CodeMender operates by proposing patches that adhere to style rules and structural correctness, and then uses critique and verification agents to check changes and self-correct if issues arise. It can also proactively rewrite existing code using safer APIs or data structures (for example, applying -fbounds-safety annotations to prevent buffer overflows). To date, CodeMender has upstreamed dozens of patches in large open source projects (including ones with millions of lines of code).

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers in search a solution to manage their fuzzing testing processes

Audience

Software engineers, security teams, and maintainers looking for a solution to automate detection and secure patching of vulnerabilities in their codebases with AI assistance

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
United States
google.github.io/clusterfuzz/

Company Information

Google DeepMind
Founded: 2010
United States
deepmind.google/discover/blog/introducing-codemender-an-ai-agent-for-code-security/

Alternatives

Alternatives

Claude Security

Claude Security

Anthropic
Peach Fuzzer

Peach Fuzzer

Peach Tech
Codename MDASH

Codename MDASH

Microsoft
go-fuzz

go-fuzz

dvyukov

Categories

Categories

Integrations

Firebase
Gemini
Gemini 2.5 Deep Think
Gemini 3.5 Flash Cyber
Gemini Enterprise
Gemma
Google AI Threat Defense
Google OSS-Fuzz
Honggfuzz
Imagen
Jira
LibFuzzer
Lyria
Veo
american fuzzy lop

Integrations

Firebase
Gemini
Gemini 2.5 Deep Think
Gemini 3.5 Flash Cyber
Gemini Enterprise
Gemma
Google AI Threat Defense
Google OSS-Fuzz
Honggfuzz
Imagen
Jira
LibFuzzer
Lyria
Veo
american fuzzy lop
Claim ClusterFuzz and update features and information
Claim ClusterFuzz and update features and information
Claim CodeMender and update features and information
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