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Average Ratings 0 Ratings
Description
Jazzer, created by Code Intelligence, is a coverage-guided fuzzer designed for the JVM platform that operates within the process. It draws inspiration from libFuzzer, incorporating several of its advanced mutation features powered by instrumentation into the JVM environment. Users can explore Jazzer's autofuzz mode via Docker, which autonomously produces arguments for specified Java functions while also identifying and reporting any unexpected exceptions and security vulnerabilities that arise. Additionally, individuals can utilize the standalone Jazzer binary available in GitHub release archives, which initiates its own JVM specifically tailored for fuzzing tasks. This flexibility allows developers to effectively test their applications for robustness against various edge cases.
Description
LibFuzzer serves as an in-process, coverage-guided engine for evolutionary fuzzing. By being linked directly with the library under examination, it injects fuzzed inputs through a designated entry point, or target function, allowing it to monitor the code paths that are executed while creating variations of the input data to enhance code coverage. The coverage data is obtained through LLVM’s SanitizerCoverage instrumentation, ensuring that users have detailed insights into the testing process. Notably, LibFuzzer continues to receive support, with critical bugs addressed as they arise. To begin utilizing LibFuzzer with a library, one must first create a fuzz target—this function receives a byte array and interacts with the API being tested in a meaningful way. Importantly, this fuzz target operates independently of LibFuzzer, which facilitates its use alongside other fuzzing tools such as AFL or Radamsa, thereby providing versatility in testing strategies. Furthermore, the ability to leverage multiple fuzzing engines can lead to more robust testing outcomes and clearer insights into the library's vulnerabilities.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Atheris
No
C
No
C++
No
ClusterFuzz
No
Docker
Yes
Fuzzbuzz
No
Google ClusterFuzz
No
Java
Yes
Jazzer
No
Kotlin
Yes
Integrations
Atheris
Yes
C
Yes
C++
Yes
ClusterFuzz
Yes
Docker
No
Fuzzbuzz
Yes
Google ClusterFuzz
Yes
Java
No
Jazzer
Yes
Kotlin
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Code Intelligence
Country
Germany
Website
github.com/CodeIntelligenceTesting/jazzer
Vendor Details
Company Name
LLVM Project
Founded
2003
Website
llvm.org/docs/LibFuzzer.html