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What is Radamsa?

Radamsa functions as a powerful test case generator tailored for robustness testing and fuzzing, with the goal of assessing a program's ability to withstand malformed and potentially harmful inputs. By examining sample files that feature valid data, it generates a wide array of uniquely modified outputs that put the software's stability to the test. A notable aspect of Radamsa is its impressive history of uncovering numerous bugs in prominent software applications, along with its ease of scriptability and straightforward deployment. Fuzzing, which is essential for revealing unforeseen behaviors in programs, entails subjecting the software to a diverse set of input types to monitor the resulting actions. This process can be divided into two key elements: gathering the varied inputs and evaluating the outcomes, with Radamsa proficiently managing the first aspect, while typically a simple shell script takes care of the latter. Testers generally have a foundational understanding of possible failures and use this technique to determine whether their concerns are justified. In addition to streamlining the testing process, Radamsa plays a crucial role in improving software application reliability by exposing hidden vulnerabilities, ultimately contributing to more secure and stable software. Furthermore, its ability to adapt and generate different test cases makes it an invaluable tool for developers seeking to fortify their applications against unexpected glitches.

What is Code Intelligence?

Our platform employs a range of robust security strategies, such as feedback-driven fuzz testing and coverage-guided fuzz testing, to produce an extensive array of test cases that identify elusive bugs within your application. This white-box methodology not only helps mitigate edge cases but also accelerates the development process. Cutting-edge fuzzing engines are designed to generate inputs that optimize code coverage effectively. Additionally, sophisticated bug detection tools monitor for errors during the execution of code, ensuring that only genuine vulnerabilities are exposed. To consistently reproduce errors, you will require both the stack trace and the input data. Furthermore, AI-driven white-box testing leverages insights from previous tests, enabling a continuous learning process regarding the application's intricacies. As a result, you can uncover security-critical bugs with ever-increasing accuracy, ultimately enhancing the reliability of your software. This innovative approach not only improves security but also fosters confidence in the development lifecycle.

Media

Media

Integrations Supported

Apache Maven
C
CLion
CircleCI
Git
GitHub
GitLab
Go
Gradle
JUnit
Java
JavaScript
Jenkins
Jira
Kubernetes
Make
OpenBSD
Travis CI
Vim
Visual Studio

Integrations Supported

Apache Maven
C
CLion
CircleCI
Git
GitHub
GitLab
Go
Gradle
JUnit
Java
JavaScript
Jenkins
Jira
Kubernetes
Make
OpenBSD
Travis CI
Vim
Visual Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Aki Helin

Company Website

gitlab.com/akihe/radamsa

Company Facts

Organization Name

Code Intelligence

Company Location

Germany

Company Website

www.code-intelligence.com

Categories and Features

Categories and Features

Application Security

Analytics / Reporting
Open Source Component Monitoring
Source Code Analysis
Third-Party Tools Integration
Training Resources
Vulnerability Detection
Vulnerability Remediation

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