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features
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Description

Every minute, a multitude of autonomously generated tests is executed to identify vulnerabilities and facilitate swift remediation. Mayhem eliminates uncertainty surrounding untested code by autonomously creating test suites that yield practical outcomes. There is no requirement to recompile the code, as Mayhem operates seamlessly with dockerized images. Its self-learning machine learning technology continuously executes thousands of tests each second, searching for crashes and defects, allowing developers to concentrate on enhancing features. Background continuous testing detects new defects and expands code coverage effectively. For each defect identified, Mayhem provides a detailed reproduction and backtrace, prioritizing them according to your risk assessment. Users can view all results, organized and prioritized based on immediate needs for fixes. Mayhem integrates effortlessly into your existing development tools and build pipeline, granting developers access to actionable insights regardless of the programming language or tools utilized by the team. This adaptability ensures that teams can maintain their workflow without disruption while enhancing their code quality.

Description

Peach is an advanced SmartFuzzer that excels in both generation and mutation-based fuzzing techniques. It necessitates the creation of Peach Pit files, which outline the data's structure, type information, and interrelations for effective fuzzing. In addition, Peach provides customizable configurations for a fuzzing session, such as selecting a data transport (publisher) and logging interface. Since its inception in 2004, Peach has undergone continuous development and is currently in its third major iteration. Fuzzing remains one of the quickest methods to uncover security vulnerabilities and identify bugs in software. By utilizing Peach for hardware fuzzing, students will gain insights into the essential principles of device fuzzing. Designed to address any data consumer, Peach can be applied to servers as well as embedded devices. A wide array of users, including researchers, companies, and government agencies, leverage Peach to detect hardware vulnerabilities. This course will specifically concentrate on employing Peach to target embedded devices while also gathering valuable information in case of a device crash, thus enhancing the understanding of fuzzing techniques in practical scenarios.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

GitLab
Python
.NET
Ada
Android
Atlassian Clover
C++
Cargo
CircleCI
Docker
GitHub
Go
Google Chat
Java
Jenkins
MATLAB
Rust
Slack
Swift
Visual Studio

Integrations

GitLab
Python
.NET
Ada
Android
Atlassian Clover
C++
Cargo
CircleCI
Docker
GitHub
Go
Google Chat
Java
Jenkins
MATLAB
Rust
Slack
Swift
Visual Studio

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Mayhem

Website

www.mayhem.security/mayhem-code-security

Vendor Details

Company Name

Peach Tech

Founded

2004

Country

United States

Website

peachtech.gitlab.io/peach-fuzzer-community/

Product Features

Product Features

Alternatives

Alternatives

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