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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 Fuzzing Project?
Fuzzing is a powerful technique for uncovering software defects. It fundamentally involves creating a multitude of random inputs for the software to handle, allowing developers to analyze the results. A crash in a program typically signals an underlying issue that needs addressing. While this method is well-known, it can often reveal bugs—including those with serious security implications—in widely utilized software surprisingly easily. The most common problems found during fuzzing are memory access errors, which are particularly frequent in applications written in C or C++. Generally, the core issue is that the software attempts to access invalid memory addresses. Although modern Linux or BSD operating systems offer a range of essential tools for file viewing and analysis, most are not designed to process untrusted inputs effectively. On the other hand, the latest advancements in tools enable developers to identify and explore these vulnerabilities with greater precision. These developments not only bolster security measures but also enhance the overall robustness of software applications, ultimately leading to more reliable systems. As technology continues to evolve, the importance of employing such methods in software development only grows.
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
Fuzzing Project
Company Website
fuzzing-project.org