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Description

APIFuzzer analyzes your API specifications and systematically tests the fields to ensure your application can handle modified parameters, all without the need for programming. It allows you to import API definitions from either local files or remote URLs, supporting both JSON and YAML formats. Every HTTP method is accommodated, and it can fuzz the request body, query strings, path parameters, and request headers. Utilizing random mutations, it also integrates seamlessly with continuous integration systems. The tool can produce test reports in JUnit XML format and has the capability to send requests to alternative URLs. It supports HTTP basic authentication through configuration settings and stores reports of any failed tests in JSON format within a designated folder, thus ensuring that all results are easily accessible for review. Additionally, this enhances your ability to identify vulnerabilities and improve the reliability of your API.

Description

American fuzzy lop is a security-focused fuzzer that utilizes a unique form of compile-time instrumentation along with genetic algorithms to automatically generate effective test cases that can uncover new internal states within the targeted binary. This approach significantly enhances the functional coverage of the code being fuzzed. Additionally, the compact and synthesized test cases produced by the tool can serve as a valuable resource for initiating other, more demanding testing processes in the future. Unlike many other instrumented fuzzers, afl-fuzz is engineered for practicality, boasting a minimal performance overhead while employing a diverse array of effective fuzzing techniques and strategies for minimizing effort. It requires almost no setup and can effortlessly manage complicated, real-world scenarios, such as those found in common image parsing or file compression libraries. As an instrumentation-guided genetic fuzzer, it excels at generating complex file semantics applicable to a wide variety of challenging targets, making it a versatile choice for security testing. Its ability to adapt to different environments further enhances its appeal for developers seeking robust solutions.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
API Blueprint Yes 
Arize Phoenix Yes 
BudgetML Yes 
C++ No 
CircleCI Yes 
ClusterFuzz No 
FreeBSD No 
Git Yes 
GitHub Yes 
GraphQL Yes 
JSON Yes 
Java No 
NetBSD No 
Objective-C No 
OneDev Yes 
OpenAPIHub Yes 
OpenBSD No 
QEMU No 
Spark NLP Yes 

Integrations

Python Yes 
API Blueprint No 
Arize Phoenix No 
BudgetML No 
C++ Yes 
CircleCI No 
ClusterFuzz Yes 
FreeBSD Yes 
Git No 
GitHub No 
GraphQL No 
JSON No 
Java Yes 
NetBSD Yes 
Objective-C Yes 
OneDev No 
OpenAPIHub No 
OpenBSD Yes 
QEMU Yes 
Spark NLP 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 No 
Mac Yes 
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 No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

PyPI

Website

pypi.org/project/APIFuzzer/

Vendor Details

Company Name

Google

Country

United States

Website

github.com/google/AFL

Product Features

Product Features

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