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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Our platform uses a variety of security techniques, including feedback-based fuzz testing and coverage-guided fuzz testing, in order to generate millions upon millions of test cases that trigger difficult-to-find bugs deep in your application. This white-box approach helps to prevent edge cases and speed up development. Advanced fuzzing engines produce inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Only uncover true vulnerabilities. You will need the stack trace and input to prove that you can reproduce errors reliably every time. AI white-box testing is based on data from all previous tests and can continuously learn the inner workings of your application. This allows you to trigger security-critical bugs with increasing precision.

Description

ToothPicker serves as an innovative in-process, coverage-guided fuzzer specifically designed for iOS, focusing on the Bluetooth daemon and various Bluetooth protocols. Utilizing FRIDA as its foundation, this tool can be tailored to function on any platform compatible with FRIDA. The repository also features an over-the-air fuzzer that showcases an example implementation for fuzzing Apple's MagicPairing protocol through InternalBlue. Furthermore, it includes the ReplayCrashFile script, which aids in confirming any crashes identified by the in-process fuzzer. This simple fuzzer operates by flipping bits and bytes in inactive connections, lacking coverage or injection, yet it serves effectively as a demonstration and is stateful. It requires only Python and Frida to operate, eliminating the need for additional modules or installations. Built upon the frizzer codebase, it's advisable to establish a virtual Python environment for optimal performance with frizzer. Notably, with the introduction of the iPhone XR/Xs, the PAC (Pointer Authentication Code) feature has been implemented. This advancement underscores the necessity for continuous adaptation of fuzzing tools like ToothPicker to keep pace with evolving iOS security measures.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Maven Yes 
C Yes 
C++ Yes 
CLion Yes 
CircleCI Yes 
Docker Yes 
GitHub Yes 
GitLab Yes 
Go Yes 
Gradle Yes 
JUnit Yes 
Java Yes 
JavaScript Yes 
Jenkins Yes 
Jira Yes 
Python No 
Travis CI Yes 
Vim Yes 
Visual Basic Yes 
Visual Studio Yes 

Integrations

Apache Maven No 
C No 
C++ No 
CLion No 
CircleCI No 
Docker No 
GitHub No 
GitLab No 
Go No 
Gradle No 
JUnit No 
Java No 
JavaScript No 
Jenkins No 
Jira No 
Python Yes 
Travis CI No 
Vim No 
Visual Basic No 
Visual Studio No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

Customer Support

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

Types of Training

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

Vendor Details

Company Name

Code Intelligence

Country

Germany

Website

www.code-intelligence.com

Vendor Details

Company Name

Secure Mobile Networking Lab

Website

github.com/seemoo-lab/toothpicker

Product Features

Application Security

Analytics / Reporting Yes 
Open Source Component Monitoring No 
Source Code Analysis No 
Third-Party Tools Integration No 
Training Resources Yes 
Vulnerability Detection Yes 
Vulnerability Remediation Yes 

Product Features

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