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

  • Parasoft Reviews & Ratings
    137 Ratings
    Company Website
  • MuukTest Reviews & Ratings
    34 Ratings
    Company Website
  • TrustInSoft Analyzer Reviews & Ratings
    6 Ratings
    Company Website
  • Wiz Reviews & Ratings
    1,101 Ratings
    Company Website
  • Boozang Reviews & Ratings
    15 Ratings
    Company Website
  • ZeroPath Reviews & Ratings
    2 Ratings
    Company Website
  • Orca Security Reviews & Ratings
    493 Ratings
    Company Website
  • SDS Manager Reviews & Ratings
    4 Ratings
    Company Website
  • QuantaStor Reviews & Ratings
    6 Ratings
    Company Website
  • JOpt.TourOptimizer Reviews & Ratings
    9 Ratings
    Company Website

What is LibFuzzer?

LibFuzzer is an in-process engine that employs coverage-guided techniques for evolutionary fuzzing. By integrating directly with the library being tested, it injects generated fuzzed inputs into a specific entry point or target function, allowing it to track executed code paths while modifying the input data to improve code coverage. The coverage information is gathered through LLVM’s SanitizerCoverage instrumentation, which provides users with comprehensive insights into the testing process. Importantly, LibFuzzer is continuously maintained, with critical bugs being resolved as they are identified. To use LibFuzzer with a particular library, the first step is to develop a fuzz target; this function takes a byte array and interacts meaningfully with the API under scrutiny. Notably, this fuzz target functions independently of LibFuzzer, making it compatible with other fuzzing tools like AFL or Radamsa, which adds flexibility to testing approaches. Moreover, combining various fuzzing engines can yield more thorough testing results and deeper understanding of the library's security flaws, ultimately enhancing the overall quality of the code. The ongoing evolution of fuzzing techniques ensures that developers are better equipped to identify and address potential vulnerabilities effectively.

What is API Fuzzer?

API Fuzzer is a tool specifically crafted to generate fuzzed requests aimed at uncovering possible vulnerabilities through recognized penetration testing techniques, ultimately delivering a thorough inventory of security concerns. It takes an API request as input and reveals a variety of vulnerabilities that could be present, such as cross-site scripting, SQL injection, blind SQL injection, XML external entity vulnerabilities, insecure direct object references (IDOR), insufficient API rate limiting, open redirect problems, data exposure issues, information leakage through headers, and cross-site request forgery vulnerabilities, among others. By leveraging this advanced tool, cybersecurity experts can significantly improve their capacity to detect and address weaknesses within their APIs, facilitating a more secure digital environment. Additionally, this proactive approach helps organizations stay ahead of potential threats and better protect sensitive data.

Media

Media

Integrations Supported

Atheris
C
C++
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
Jazzer
Ruby

Integrations Supported

Atheris
C
C++
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
Jazzer
Ruby

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

LLVM Project

Date Founded

2003

Company Website

llvm.org/docs/LibFuzzer.html

Company Facts

Organization Name

Fuzzapi

Company Website

github.com/Fuzzapi/API-fuzzer

Categories and Features

Categories and Features

Popular Alternatives

afl-unicorn Reviews & Ratings

afl-unicorn

Battelle

Popular Alternatives

Vega Reviews & Ratings

Vega

Subgraph
Atheris Reviews & Ratings

Atheris

Google
Jazzer Reviews & Ratings

Jazzer

Code Intelligence
Honggfuzz Reviews & Ratings

Honggfuzz

Google