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Description
CI Fuzz guarantees that your code is both robust and secure, achieving test coverage levels as high as 100%. You can utilize CI Fuzz through the command line or within your preferred integrated development environment (IDE) to automatically generate a vast number of test cases. Similar to a unit test, CI Fuzz analyzes code during execution, leveraging AI to ensure every code path is effectively covered. This tool helps you identify genuine bugs in real-time, eliminating the need to deal with hypothetical problems and erroneous positives. It provides all the necessary details to help you swiftly reproduce and resolve actual issues. By maximizing your code coverage, CI Fuzz also automatically identifies common security vulnerabilities, such as injection flaws and remote code execution risks, all in a single process. Ensure your software is of the highest quality by achieving comprehensive test coverage. With CI Fuzz, you can elevate your unit testing practices, as it harnesses AI for thorough code path analysis and the seamless creation of numerous test cases. Ultimately, it enhances your pipeline's efficiency without sacrificing the integrity of the software being produced. This makes CI Fuzz an essential tool for any developer aiming to improve code quality and security.
Description
LibFuzzer serves as an in-process, coverage-guided engine for evolutionary fuzzing. By being linked directly with the library under examination, it injects fuzzed inputs through a designated entry point, or target function, allowing it to monitor the code paths that are executed while creating variations of the input data to enhance code coverage. The coverage data is obtained through LLVM’s SanitizerCoverage instrumentation, ensuring that users have detailed insights into the testing process. Notably, LibFuzzer continues to receive support, with critical bugs addressed as they arise. To begin utilizing LibFuzzer with a library, one must first create a fuzz target—this function receives a byte array and interacts with the API being tested in a meaningful way. Importantly, this fuzz target operates independently of LibFuzzer, which facilitates its use alongside other fuzzing tools such as AFL or Radamsa, thereby providing versatility in testing strategies. Furthermore, the ability to leverage multiple fuzzing engines can lead to more robust testing outcomes and clearer insights into the library's vulnerabilities.
API Access
Has API
API Access
Has API
Integrations
C
C++
Atheris
CLion
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
JUnit
Java
JavaScript
Integrations
C
C++
Atheris
CLion
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
JUnit
Java
JavaScript
Pricing Details
€30 per month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Code Intelligence
Country
Germany
Website
www.code-intelligence.com/product-ci-fuzz
Vendor Details
Company Name
LLVM Project
Founded
2003
Website
llvm.org/docs/LibFuzzer.html