Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Testsigma Reviews & Ratings
    65 Ratings
    Company Website
  • Blackbird API Development Reviews & Ratings
    1 Rating
    Company Website
  • Parasoft Reviews & Ratings
    120 Ratings
    Company Website
  • Amilia SmartRecâ„¢ Reviews & Ratings
    161 Ratings
    Company Website
  • BrandMap® 10 Reviews & Ratings
    Company Website
  • ZINFI Reviews & Ratings
    774 Ratings
  • Boozang Reviews & Ratings
    14 Ratings
    Company Website
  • YouTestMe Reviews & Ratings
    33 Ratings
    Company Website
  • Intelex Reviews & Ratings
    112 Ratings
    Company Website
  • Doc Sheets Reviews & Ratings
    3 Ratings
    Company Website

What is OWASP WSFuzzer?

Fuzz testing, often simply called fuzzing, is a method in software evaluation focused on identifying implementation flaws by automatically introducing malformed or partially malformed data. Imagine a scenario where a program uses an integer variable to record a user's choice among three questions, represented by the integers 0, 1, or 2, which results in three different outcomes. Given that integers are generally maintained as fixed-size variables, the lack of secure implementation in the default switch case can result in program failures and a range of conventional security risks. Fuzzing acts as an automated approach to reveal such software implementation flaws, facilitating the detection of bugs during their occurrence. A fuzzer is a dedicated tool that automatically injects semi-randomized data into the program's execution path, helping to uncover irregularities. The data generation process relies on generators, while the discovery of vulnerabilities frequently utilizes debugging tools capable of examining the program’s response to the inserted data. These generators usually incorporate a combination of tried-and-true static fuzzing vectors to improve the testing process, ultimately fostering more resilient software development methodologies. Additionally, by systematically applying fuzzing techniques, developers can significantly enhance the overall security posture of their applications.

What is LLMFuzzer?

LLMFuzzer is the perfect tool for individuals who are enthusiastic about security, whether they are penetration testers or cybersecurity researchers focused on identifying and exploiting weaknesses in AI systems. This innovative solution aims to improve the efficiency and effectiveness of testing methodologies. Currently, extensive documentation is being created, which will provide detailed insights into the tool's architecture, various fuzzing methods, practical applications, and tips for enhancing its functionalities. This resource is intended to enable users to maximize LLMFuzzer's potential in their security evaluations, ensuring a comprehensive understanding of its capabilities. As a result, users can expect to refine their testing processes and contribute to the overall advancement of security in AI technologies.

Media

Media

Integrations Supported

CI Fuzz
JSON
Python

Integrations Supported

CI Fuzz
JSON
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

OWASP

Company Location

United States

Company Website

owasp.org/www-community/Fuzzing

Company Facts

Organization Name

LLMFuzzer

Company Website

github.com/mnns/LLMFuzzer

Categories and Features

Categories and Features

Popular Alternatives

go-fuzz Reviews & Ratings

go-fuzz

dvyukov

Popular Alternatives

StartKit.AI Reviews & Ratings

StartKit.AI

Squarecat.OÜ
Radamsa Reviews & Ratings

Radamsa

Aki Helin
ClusterFuzz Reviews & Ratings

ClusterFuzz

Google
OpenVINO Reviews & Ratings

OpenVINO

Intel