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Description
Identify performance limitations or other hidden issues that conventional software testing may overlook. Establish clear criteria for halting an experiment or reverting to the original state prior to experimentation. Execute experiments within minutes by utilizing pre-defined scenarios available in the FIS scenario library. Gain enhanced understanding by simulating real-world failure scenarios, such as the degradation of various resources' performance. Integrated within AWS Resilience Hub, the AWS Fault Injection Service (FIS) is a fully managed solution designed for conducting fault injection experiments aimed at enhancing an application’s performance, visibility, and resilience. FIS streamlines the setup and execution of controlled fault injection tests across multiple AWS services, enabling teams to gain confidence in how their applications respond. Additionally, FIS equips teams with essential controls and safeguards for conducting experiments in production, including automatic rollback or cessation of the experiment upon meeting predetermined conditions, thus ensuring a safer testing environment. With these capabilities, teams can effectively identify vulnerabilities and improve their overall application resilience.
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
Pricing Details
$0.10 per action-minute
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
Amazon
Country
United States
Website
aws.amazon.com/fis/
Vendor Details
Company Name
OWASP
Country
United States
Website
owasp.org/www-community/Fuzzing