Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Wapiti is a tool designed for scanning vulnerabilities in web applications. It provides the capability to assess the security of both websites and web applications effectively. By conducting "black-box" scans, it avoids delving into the source code and instead focuses on crawling through the web pages of the deployed application, identifying scripts and forms that could be susceptible to data injection. After compiling a list of URLs, forms, and their associated inputs, Wapiti simulates a fuzzer by inserting various payloads to check for potential vulnerabilities in scripts. It also searches for files on the server that may pose risks. Wapiti is versatile, supporting attacks via both GET and POST HTTP methods, and handling multipart forms while being able to inject payloads into uploaded filenames. The tool raises alerts when it detects anomalies, such as server errors or timeouts. Moreover, Wapiti differentiates between permanent and reflected XSS vulnerabilities, providing users with detailed vulnerability reports that can be exported in multiple formats including HTML, XML, JSON, TXT, and CSV. This functionality makes Wapiti a comprehensive solution for web application security assessments.
API Access
Has API
No
API Access
Has API
No
Integrations
Drupal
No
Google Chrome
No
Google Sheets
No
HTML
No
JSON
No
Microsoft Excel
No
Mozilla Firefox
No
Python
Yes
SQL
No
WordPress
No
Integrations
Drupal
Yes
Google Chrome
Yes
Google Sheets
Yes
HTML
Yes
JSON
Yes
Microsoft Excel
Yes
Mozilla Firefox
Yes
Python
No
SQL
Yes
WordPress
Yes
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
Yes
iPad App
Yes
Android App
No
Windows
No
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
Secure Mobile Networking Lab
Website
github.com/seemoo-lab/toothpicker
Vendor Details
Company Name
Wapiti
Website
wapiti-scanner.github.io