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features
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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

CI Fuzz No 
macOS Monterey Yes 
macOS Ventura Yes 

Integrations

CI Fuzz Yes 
macOS Monterey No 
macOS Ventura No 

Pricing Details

$0
Free Download for MacOS
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
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 No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

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

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 Yes 
Fuzz Testing No 
Load Testing No 
Penetration Testing No 
Runtime and Error Detection No 
Security Testing No 
UI Testing No 
Validation Testing No 

Product Features

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