Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Radamsa serves as a robust test case generator specifically designed for robustness testing and fuzzing, aimed at evaluating how resilient a program is against malformed and potentially harmful inputs. By analyzing sample files containing valid data, it produces a variety of uniquely altered outputs that challenge the software's stability. One of the standout features of Radamsa is its proven track record in identifying numerous bugs in significant programs, alongside its straightforward scriptability and ease of deployment. Fuzzing, a key technique in uncovering unexpected program behaviors, involves exposing the software to a wide range of input types to observe the resultant actions. This process is divided into two main components: sourcing the diverse inputs and analyzing the outcomes, with Radamsa effectively addressing the first component, while a brief shell script generally handles the latter. Testers often possess a general understanding of potential failures and aim to validate whether those concerns are warranted through this method. Ultimately, Radamsa not only simplifies the testing process but also enhances the reliability of software applications by revealing hidden vulnerabilities.
Description
Sulley is a comprehensive fuzz testing framework and engine that incorporates various extensible components. In my view, it surpasses the functionality of most previously established fuzzing technologies, regardless of whether they are commercial or available in the public domain. The framework is designed to streamline not only the representation of data but also its transmission and instrumentation processes. As a fully automated fuzzing solution developed entirely in Python, Sulley operates without requiring human intervention. Beyond impressive capabilities in data generation, Sulley offers a range of essential features expected from a contemporary fuzzer. It meticulously monitors network activity and keeps detailed records for thorough analysis. Additionally, Sulley is equipped to instrument and evaluate the health of the target system, with the ability to revert to a stable state using various methods when necessary. It efficiently detects, tracks, and categorizes faults that arise during testing. Furthermore, Sulley has the capability to perform fuzzing in parallel, which dramatically enhances testing speed. It can also autonomously identify unique sequences of test cases that lead to faults, thereby improving the overall effectiveness of the testing process. This combination of features positions Sulley as a powerful tool for security testing and vulnerability detection.
API Access
Has API
API Access
Has API
Pricing Details
Free
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
Aki Helin
Website
gitlab.com/akihe/radamsa
Vendor Details
Company Name
OpenRCE
Website
github.com/OpenRCE/sulley