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What is Mayhem Code Security?

Every minute, countless tests are generated autonomously to uncover vulnerabilities and enable rapid remediation. Mayhem removes the ambiguity associated with untested code by autonomously developing test suites that produce tangible results. There is no need to recompile the code, as Mayhem functions smoothly with dockerized images. Its machine learning technology, which learns on its own, runs thousands of tests every second, looking for crashes and defects, thus allowing developers to focus on feature enhancements. Continuous background testing identifies new defects and effectively broadens code coverage. For each defect found, Mayhem offers a comprehensive reproduction and backtrace while prioritizing issues based on your risk assessment. Users can access all results in an organized manner, ranked according to the urgency of required fixes. Mayhem integrates seamlessly with existing development tools and build pipelines, providing developers with actionable insights no matter which programming languages or tools the team employs. This versatility ensures that teams can continue their workflow without interruption while simultaneously improving their code quality. Additionally, Mayhem’s intuitive interface and robust reporting features further empower developers to address issues efficiently.

What is LibFuzzer?

LibFuzzer is an in-process engine that employs coverage-guided techniques for evolutionary fuzzing. By integrating directly with the library being tested, it injects generated fuzzed inputs into a specific entry point or target function, allowing it to track executed code paths while modifying the input data to improve code coverage. The coverage information is gathered through LLVM’s SanitizerCoverage instrumentation, which provides users with comprehensive insights into the testing process. Importantly, LibFuzzer is continuously maintained, with critical bugs being resolved as they are identified. To use LibFuzzer with a particular library, the first step is to develop a fuzz target; this function takes a byte array and interacts meaningfully with the API under scrutiny. Notably, this fuzz target functions independently of LibFuzzer, making it compatible with other fuzzing tools like AFL or Radamsa, which adds flexibility to testing approaches. Moreover, combining various fuzzing engines can yield more thorough testing results and deeper understanding of the library's security flaws, ultimately enhancing the overall quality of the code. The ongoing evolution of fuzzing techniques ensures that developers are better equipped to identify and address potential vulnerabilities effectively.

Media

Media

Integrations Supported

C
C++
Android
Atheris
Atlassian Clover
Azure DevOps
Cargo
Docker
Fuzzbuzz
GitHub
GitLab
Java
Jazzer
Jenkins
MATLAB
Objective-C
Python
Rust
Swift

Integrations Supported

C
C++
Android
Atheris
Atlassian Clover
Azure DevOps
Cargo
Docker
Fuzzbuzz
GitHub
GitLab
Java
Jazzer
Jenkins
MATLAB
Objective-C
Python
Rust
Swift

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mayhem

Company Website

www.mayhem.security/mayhem-code-security

Company Facts

Organization Name

LLVM Project

Date Founded

2003

Company Website

llvm.org/docs/LibFuzzer.html

Categories and Features

Categories and Features

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