Code Intelligence vs. LibFuzzer Comparison


Code Intelligence	LibFuzzer LLVM Project	+	+
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About Our platform uses various security techniques, including coverage-guided and feedback-based fuzz testing, to automatically generate millions of test cases that trigger hard-to-find bugs deep within your application. This white-box approach protects against edge cases and speeds up development. Advanced fuzzing engines generate inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Uncover true vulnerabilities only. Get the input and stack trace as proof, so you can reliably reproduce errors every time. AI white-box testing uses data from all previous test runs to continuously learn the inner-workings of your application, triggering security-critical bugs with increasingly high precision.	About LibFuzzer is an in-process, coverage-guided, evolutionary fuzzing engine. LibFuzzer is linked with the library under test, and feeds fuzzed inputs to the library via a specific fuzzing entry point (or target function); the fuzzer then tracks which areas of the code are reached, and generates mutations on the corpus of input data in order to maximize the code coverage. The code coverage information for libFuzzer is provided by LLVM’s SanitizerCoverage instrumentation. LibFuzzer is still fully supported in that important bugs will get fixed. The first step in using libFuzzer on a library is to implement a fuzz target, a function that accepts an array of bytes and does something interesting with these bytes using the API under test. Note that this fuzz target does not depend on libFuzzer in any way so it is possible and even desirable to use it with other fuzzing engines like AFL and/or Radamsa.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Not Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers interested in an automated application security solution	Audience Users requiring a fuzzing engine to analyze their code and applications
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
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	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 Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Code Intelligence Germany www.code-intelligence.com	Company Information LLVM Project Founded: 2003 llvm.org/docs/LibFuzzer.html
Alternatives go-fuzz dvyukov	Alternatives afl-unicorn Battelle
Mayhem ForAllSecure	Atheris Google
LibFuzzer LLVM Project	Jazzer Code Intelligence
CI Fuzz Code Intelligence	Honggfuzz Google
Atheris Google View All	american fuzzy lop Google View All
Categories Application Security Supported Code Coverage Supported Fuzz Testing Supported	Categories Fuzz Testing Supported
Show More Features Application Security Features Analytics / Reporting Supported Open Source Component Monitoring Not Supported Source Code Analysis Not Supported Third-Party Tools Integration Not Supported Training Resources Supported Vulnerability Detection Supported Vulnerability Remediation Supported
Integrations C Supported C++ Supported Apache Maven Supported Atheris Not Supported CLion Supported CircleCI Supported ClusterFuzz Not Supported Docker Supported Fuzzbuzz Not Supported GitLab Supported Go Supported JUnit Supported JavaScript Supported Jazzer Not Supported Jenkins Supported Jira Supported Kubernetes Supported Travis CI Supported Vim Supported Visual Studio Supported Show More Integrations View All 20 Integrations	Integrations C Supported C++ Supported Apache Maven Not Supported Atheris Supported CLion Not Supported CircleCI Not Supported ClusterFuzz Supported Docker Not Supported Fuzzbuzz Supported GitLab Not Supported Go Not Supported JUnit Not Supported JavaScript Not Supported Jazzer Supported Jenkins Not Supported Jira Not Supported Kubernetes Not Supported Travis CI Not Supported Vim Not Supported Visual Studio Not Supported Show More Integrations View All 7 Integrations
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