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Description

Develop and evaluate HTTP and RESTful web service requests. Execute data-driven test scenarios and analyze the outcomes using any spreadsheet software. Additionally, employ a graphical user interface-based randomization editor, allowing for the inclusion of attachments, whether MTOM is utilized or not. Carry out your testing processes and examine aggregate test results, with the ability to revisit these findings at a later date. Import WSDL specifications to construct your SOAP tests, incorporating assertions and facilitating data transfer across various test steps, cases, folders, and repositories. Modify variables encompassing different formats such as strings, integers, and current date and time values, including the use of relative dates with various formatting options. Furthermore, ensure that your testing framework is adaptable for future expansions or changes in testing requirements.

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

Screenshots View All

Screenshots View All

Integrations

CI Fuzz
macOS Monterey
macOS Ventura

Integrations

CI Fuzz
macOS Monterey
macOS Ventura

Pricing Details

$0
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

CgSe Computergrafik und Softwareentwicklung GmbH

Founded

2018

Country

Germany

Website

www.apijockey.com

Vendor Details

Company Name

OWASP

Country

United States

Website

owasp.org/www-community/Fuzzing

Product Features

API Testing

Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing

Product Features

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