LibFuzzerLLVM Project
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MayhemForAllSecure
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Related Products
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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.
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About
Advanced fuzzing solution that combines guided fuzzing with symbolic execution, a patented technology from CMU. Mayhem is an advanced fuzz testing solution that dramatically reduces manual testing efforts with autonomous defect detection and validation. Deliver safe, secure, reliable software with less time, cost, and effort. Mayhem’s unique advantage is in its ability to acquire intelligence of its targets over time. As Mayhem’s knowledge grows, it deepens its analysis and maximizes its code coverage. All reported vulnerabilities are exploitable, confirmed risks. Mayhem guides remediation efforts with in-depth system level information, such as backtraces, memory logs, and register state, expediting issue diagnosis and fixes. Mayhem utilizes target feedback to custom generate test cases on the fly -- meaning no manual test case generation required. Mayhem offers access to all of its test cases to make regression testing effortless and continuous.
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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
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Users requiring a fuzzing engine to analyze their code and applications
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Audience
Enterprisesses, comercial or government organizations interested in DevSecOps security applications
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationLLVM Project
Founded: 2003
llvm.org/docs/LibFuzzer.html
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Company InformationForAllSecure
Founded: 2012
United States
www.forallsecure.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Automated Testing Features
Hierarchical View
Not Supported
Move & Copy
Not Supported
Parameterized Testing
Not Supported
Requirements-Based Testing
Not Supported
Security Testing
Supported
Supports Parallel Execution
Not Supported
Test Script Reviews
Not Supported
Unicode Compliance
Not Supported
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Integrations
Atheris
Supported
Bamboo
Not Supported
C
Supported
C++
Supported
ClusterFuzz
Supported
Docker
Not Supported
Drone
Not Supported
Fuzzbuzz
Supported
Google Cloud Platform
Not Supported
Google ClusterFuzz
Supported
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Integrations
Atheris
Not Supported
Bamboo
Supported
C
Not Supported
C++
Not Supported
ClusterFuzz
Not Supported
Docker
Supported
Drone
Supported
Fuzzbuzz
Not Supported
Google Cloud Platform
Supported
Google ClusterFuzz
Not Supported
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