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What is ToothPicker?

ToothPicker is an advanced in-process, coverage-guided fuzzer that is specifically tailored for iOS, with a primary focus on the Bluetooth daemon and a variety of Bluetooth protocols. Built on the FRIDA framework, this tool can be customized to operate on any platform that supports FRIDA. Additionally, the repository includes an over-the-air fuzzer that provides a practical example of fuzzing Apple's MagicPairing protocol via InternalBlue. It also comes with the ReplayCrashFile script, which helps verify any crashes detected by the in-process fuzzer. This straightforward fuzzer works by altering bits and bytes in inactive connections and, while it does not incorporate coverage or injection methods, it effectively demonstrates its functionality in a stateful manner. Only requiring Python and Frida to run, it dispenses with the need for further modules or installations. Since it is based on the frizzer codebase, it is recommended to create a virtual Python environment to ensure optimal performance with frizzer. The introduction of the iPhone XR/Xs has brought about the implementation of the PAC (Pointer Authentication Code) feature, highlighting the importance of continuously evolving fuzzing tools like ToothPicker to align with the changing landscape of iOS security protocols. As technology advances, maintaining and updating such tools becomes crucial for security researchers and developers alike.

What is Boofuzz?

Boofuzz acts as both an evolution and an improvement over the long-standing Sulley fuzzing framework. Not only does it tackle various bugs, but it also emphasizes extensibility in its design. It maintains all critical elements of a fuzzer, including effective data generation, comprehensive instrumentation for monitoring, failure detection mechanisms, the capability to reset targets after a failure, and detailed documentation of test outcomes. The installation process is notably streamlined, offering compatibility with numerous communication methods. It includes native support for serial fuzzing, Ethernet protocols, IP-layer communications, and UDP broadcasting. Furthermore, Boofuzz enhances data recording practices, ensuring that the information is consistent, thorough, and user-friendly. Users can conveniently export their test results in CSV format and take advantage of customizable options for instrumentation and failure detection. As a Python library, Boofuzz allows for the straightforward creation of fuzzer scripts, and it is highly recommended to set it up within a virtual environment to optimize its functionality and organization. This versatility makes it an ideal choice for both experienced testers and those just beginning their journey in fuzz testing. With its robust features and user-friendly approach, Boofuzz stands out as a valuable asset in the realm of software testing.

Media

Media

Integrations Supported

Python
Google Sheets
Microsoft Excel

Integrations Supported

Python
Google Sheets
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Secure Mobile Networking Lab

Company Website

github.com/seemoo-lab/toothpicker

Company Facts

Organization Name

Boofuzz

Company Website

boofuzz.readthedocs.io/en/stable/

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Categories and Features

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