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What is CI Fuzz?

CI Fuzz ensures that your software is both reliable and secure, reaching test coverage levels that can go up to 100%. You have the option to access CI Fuzz through the command line or within your favorite integrated development environment (IDE), allowing for the automatic generation of a large array of test cases. Much like traditional unit testing, CI Fuzz examines code during its execution, utilizing artificial intelligence to confirm that every possible code path is thoroughly tested. This tool not only aids in the real-time detection of actual bugs but also eliminates the complications associated with hypothetical issues and false positives. It supplies all necessary information to facilitate the quick reproduction and resolution of real problems. By optimizing your code coverage, CI Fuzz also proactively uncovers prevalent security vulnerabilities, including injection flaws and risks associated with remote code execution, all integrated into a single streamlined process. Ensure that your software maintains the highest quality standards by achieving extensive test coverage. With CI Fuzz, you can significantly enhance your unit testing approaches, as it leverages AI for detailed code path evaluation and the effortless creation of numerous test cases. Furthermore, it boosts the overall efficiency of your development pipeline without compromising the quality of the software produced. As such, CI Fuzz stands out as a vital tool for developers focused on elevating both code quality and security. Embracing CI Fuzz not only improves your testing strategy but also fosters a more secure coding environment.

What is Atheris?

Atheris operates as a fuzzing engine tailored for Python, specifically employing a coverage-guided approach, and it extends its functionality to accommodate native extensions built for CPython. Leveraging libFuzzer as its underlying framework, Atheris proves particularly adept at uncovering additional bugs within native code during fuzzing processes. It is compatible with both 32-bit and 64-bit Linux platforms, as well as Mac OS X, and supports Python versions from 3.6 to 3.10. While Atheris integrates libFuzzer, which makes it well-suited for fuzzing Python applications, users focusing on native extensions might need to compile the tool from its source code to align the libFuzzer version included with Atheris with their installed Clang version. Given that Atheris relies on libFuzzer, which is bundled with Clang, users operating on Apple Clang must install an alternative version of LLVM, as the standard version does not come with libFuzzer. Atheris utilizes a coverage-guided, mutation-based fuzzing strategy, which streamlines the configuration process, eliminating the need for a grammar definition for input generation. However, this approach can lead to complications when generating inputs for code that manages complex data structures. Therefore, users must carefully consider the trade-offs between the simplicity of setup and the challenges associated with handling intricate input types, as these factors can significantly influence the effectiveness of their fuzzing efforts. Ultimately, the decision to use Atheris will hinge on the specific requirements and complexities of the project at hand.

Media

Media

Integrations Supported

C
C++
CLion
Google OSS-Fuzz
JUnit
Java
JavaScript
Jest
Kotlin
LibFuzzer
OWASP WSFuzzer
Python
TypeScript
Visual Studio

Integrations Supported

C
C++
CLion
Google OSS-Fuzz
JUnit
Java
JavaScript
Jest
Kotlin
LibFuzzer
OWASP WSFuzzer
Python
TypeScript
Visual Studio

API Availability

Has API

API Availability

Has API

Pricing Information

€30 per month
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

Code Intelligence

Company Location

Germany

Company Website

www.code-intelligence.com/product-ci-fuzz

Company Facts

Organization Name

Google

Company Website

github.com/google/atheris

Categories and Features

Categories and Features

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