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What is FuzzDB?

FuzzDB was created to improve the likelihood of discovering security vulnerabilities in applications by utilizing dynamic testing techniques. Recognized as the first and largest open repository for fault injection patterns, along with reliable resource locations and regex for matching server responses, it is an essential tool in the field. This extensive database contains comprehensive lists of attack payload primitives specifically designed for fault injection testing. The patterns are categorized by the type of attack and, when applicable, by the specific platform, often revealing vulnerabilities such as OS command injection, directory traversals, source code exposure, file upload bypass, cross-site scripting (XSS), and SQL injections, among others. Notably, FuzzDB highlights 56 patterns that could be interpreted as a null byte and also provides extensive lists of commonly used methods and name-value pairs that may trigger debugging modes. In addition, FuzzDB is continually updated as it integrates new discoveries and contributions from the community to effectively address emerging security threats. This ongoing evolution ensures that users benefit from the latest advancements in vulnerability detection and testing methodologies.

What is Atheris?

Atheris operates as a fuzzing engine tailored for Python, specifically employing a coverage-guided approach, and it extends its functionality to accommodate native extensions built for CPython. Leveraging libFuzzer as its underlying framework, Atheris proves particularly adept at uncovering additional bugs within native code during fuzzing processes. It is compatible with both 32-bit and 64-bit Linux platforms, as well as Mac OS X, and supports Python versions from 3.6 to 3.10. While Atheris integrates libFuzzer, which makes it well-suited for fuzzing Python applications, users focusing on native extensions might need to compile the tool from its source code to align the libFuzzer version included with Atheris with their installed Clang version. Given that Atheris relies on libFuzzer, which is bundled with Clang, users operating on Apple Clang must install an alternative version of LLVM, as the standard version does not come with libFuzzer. Atheris utilizes a coverage-guided, mutation-based fuzzing strategy, which streamlines the configuration process, eliminating the need for a grammar definition for input generation. However, this approach can lead to complications when generating inputs for code that manages complex data structures. Therefore, users must carefully consider the trade-offs between the simplicity of setup and the challenges associated with handling intricate input types, as these factors can significantly influence the effectiveness of their fuzzing efforts. Ultimately, the decision to use Atheris will hinge on the specific requirements and complexities of the project at hand.

Media

Media

Integrations Supported

BlackArch Linux
Google OSS-Fuzz
LibFuzzer
NoSQL
OWASP ZAP
Python

Integrations Supported

BlackArch Linux
Google OSS-Fuzz
LibFuzzer
NoSQL
OWASP ZAP
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

FuzzDB

Company Website

github.com/fuzzdb-project/fuzzdb

Company Facts

Organization Name

Google

Company Website

github.com/google/atheris

Categories and Features

Categories and Features

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