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Description
The Fuzzbuzz workflow closely resembles other continuous integration and continuous delivery (CI/CD) testing processes, but it stands out because it necessitates the concurrent execution of multiple jobs, adding several additional steps. As a dedicated fuzz testing platform, Fuzzbuzz simplifies the integration of fuzz tests into developers' code, enabling them to execute these tests within their CI/CD pipelines, which is essential for identifying critical bugs and security vulnerabilities before they reach production. Fuzzbuzz seamlessly blends into your existing environment, providing support from the terminal through to CI/CD. You can easily write a fuzz test using your preferred IDE, terminal, or build tools, and once you push your code changes to CI/CD, Fuzzbuzz will automatically initiate the fuzz testing process on the latest updates. You'll receive notifications about any bugs detected through various channels like Slack, GitHub, or email, ensuring you're always informed. Additionally, as new changes are introduced, regressions are automatically tested and compared against previous results, allowing for continuous monitoring of code stability. The moment a change is detected, Fuzzbuzz builds and instruments your code, ensuring that your development process remains efficient and responsive. This proactive approach helps maintain high-quality code and reduces the risk of deploying flawed software.
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
No
API Access
Has API
No
Integrations
Python
Yes
Bitbucket
Yes
C
Yes
C++
Yes
Debian
Yes
Git
Yes
GitHub
Yes
GitLab
Yes
Go
Yes
LibFuzzer
Yes
Integrations
Python
Yes
Bitbucket
No
C
No
C++
No
Debian
No
Git
No
GitHub
No
GitLab
No
Go
No
LibFuzzer
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
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
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Fuzzbuzz
Country
United States
Website
github.com/fuzzbuzz
Vendor Details
Company Name
Secure Mobile Networking Lab
Website
github.com/seemoo-lab/toothpicker
