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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
Fuzz testing, commonly referred to as fuzzing, is a technique used in software testing that aims to discover implementation errors by injecting malformed or semi-malformed data in an automated way. For example, consider a scenario involving an integer variable within a program that captures a user's selection among three questions; the user's choice can be represented by the integers 0, 1, or 2, resulting in three distinct cases. Since integers are typically stored as fixed-size variables, a failure to implement the default switch case securely could lead to program crashes and various traditional security vulnerabilities. Fuzzing serves as an automated method for uncovering software implementation issues, enabling the identification of bugs when they occur. A fuzzer is a specialized tool designed to automatically inject semi-random data into the program stack, aiding in the detection of anomalies. The process of generating this data involves the use of generators, while the identification of vulnerabilities often depends on debugging tools that can analyze the program's behavior under the influence of the injected data. These generators typically utilize a mixture of established static fuzzing vectors to enhance the testing process, ultimately contributing to more robust software development practices.
API Access
Has API
API Access
Has API
Integrations
API Blueprint
Arize Phoenix
BudgetML
CI Fuzz
CircleCI
Git
GitHub
GraphQL
JSON
JUnit
Integrations
API Blueprint
Arize Phoenix
BudgetML
CI Fuzz
CircleCI
Git
GitHub
GraphQL
JSON
JUnit
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
PyPI
Website
pypi.org/project/APIFuzzer/
Vendor Details
Company Name
OWASP
Country
United States
Website
owasp.org/www-community/Fuzzing