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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
ClusterFuzz serves as an expansive fuzzing framework designed to uncover security vulnerabilities and stability flaws in software applications. Employed by Google, it is utilized for testing all of its products and acts as the fuzzing engine for OSS-Fuzz. This infrastructure boasts a wide array of features that facilitate the seamless incorporation of fuzzing into the software development lifecycle. It offers fully automated processes for bug filing, triaging, and resolution across multiple issue tracking systems. The system supports a variety of coverage-guided fuzzing engines, optimizing results through ensemble fuzzing and diverse fuzzing methodologies. Additionally, it provides statistical insights for assessing fuzzer effectiveness and monitoring crash incidence rates. Users can navigate an intuitive web interface that simplifies the management of fuzzing activities and crash reviews. Furthermore, ClusterFuzz is compatible with various authentication systems via Firebase and includes capabilities for black-box fuzzing, minimizing test cases, and identifying regressions through bisection. In summary, this robust tool enhances software quality and security, making it invaluable for developers seeking to improve their applications.
API Access
Has API
API Access
Has API
Integrations
C
C++
CLion
Firebase
Honggfuzz
JUnit
Java
JavaScript
Jest
Jira
Integrations
C
C++
CLion
Firebase
Honggfuzz
JUnit
Java
JavaScript
Jest
Jira
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
Website
github.com/google/clusterfuzz