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What is Jazzer?

Jazzer, developed by Code Intelligence, is a coverage-guided fuzzer specifically designed for the JVM platform that functions within the process. Taking cues from libFuzzer, it integrates several sophisticated mutation capabilities enhanced by instrumentation tailored for the JVM ecosystem. Users have the option to engage with Jazzer's autofuzz mode through Docker, which automatically generates arguments for designated Java functions and detects as well as reports any anomalies or security issues that occur. Furthermore, users can access the standalone Jazzer binary from GitHub's release archives, which launches its own JVM optimized for fuzzing operations. This adaptability enables developers to rigorously assess their applications for durability against a variety of edge cases, ensuring a more secure software environment. By utilizing Jazzer, teams can enhance their testing strategies and improve overall code quality.

What is Awesome Fuzzing?

Awesome Fuzzing is a rich resource hub catering to individuals fascinated by fuzzing, offering a wide variety of materials including books, both free and paid courses, videos, tools, tutorials, and intentionally vulnerable applications crafted for practical experience in fuzzing and the essential aspects of exploit development, such as root cause analysis. This compilation features educational videos and courses that emphasize fuzzing methods, tools, and industry best practices, alongside recorded conference presentations, detailed tutorials, and insightful blogs that examine effective methodologies and tools beneficial for fuzzing various applications. Among its extensive offerings are specialized tools designed for targeting applications that leverage network-based protocols like HTTP, SSH, and SMTP. Users are invited to investigate and select particular exploits available for download, enabling them to replicate these exploits using their chosen fuzzer. Furthermore, it supplies a diverse array of testing frameworks compatible with numerous fuzzing engines, covering a spectrum of well-documented vulnerabilities. In addition to this, the collection includes various file formats tailored for fuzzing multiple targets identified in the fuzzing landscape, significantly enriching the educational journey for users. With such a comprehensive selection, learners can deepen their understanding and practical skills in the field of fuzzing.

Media

Media

Integrations Supported

Docker
Java
Kotlin
LibFuzzer

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Code Intelligence

Company Location

Germany

Company Website

github.com/CodeIntelligenceTesting/jazzer

Company Facts

Organization Name

secfigo

Company Website

github.com/secfigo/Awesome-Fuzzing

Categories and Features

Fuzz Testing

Not specified

Categories and Features

Fuzz Testing

Not specified

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