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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.
Description
Wfuzz offers a powerful platform for automating the assessment of web application security, assisting users in identifying and exploiting potential vulnerabilities to enhance the safety of their web applications. Additionally, it can be executed using the official Docker image for convenience. The core functionality of Wfuzz is based on the straightforward principle of substituting any occurrence of the fuzz keyword with a specified payload, which serves as a source of data. This fundamental mechanism enables users to inject various inputs into any field within an HTTP request, facilitating intricate attacks on diverse components of web applications, including parameters, authentication mechanisms, forms, directories and files, headers, and more. Wfuzz's scanning capabilities for web application vulnerabilities are further enhanced by its plugin support, which allows for a wide range of functionalities. As a completely modular framework, Wfuzz invites even novice Python developers to contribute easily, as creating plugins is a straightforward process that requires only a few minutes to get started. By harnessing the power of Wfuzz, security professionals can significantly improve their web application defenses.
API Access
Has API
API Access
Has API
Integrations
Atheris
C
C++
ClusterFuzz
Docker
Fuzzbuzz
Google ClusterFuzz
Jazzer
Python
Integrations
Atheris
C
C++
ClusterFuzz
Docker
Fuzzbuzz
Google ClusterFuzz
Jazzer
Python
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
LLVM Project
Founded
2003
Website
llvm.org/docs/LibFuzzer.html
Vendor Details
Company Name
Wfuzz
Website
wfuzz.readthedocs.io