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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The General NCMR search form is utilized to find NCMRs based on user-defined criteria. This search tool is consistent across all NCMR-related icons, so we will examine the search interface in detail. To access this interface, simply click on the General NCMR Search icon located in the main QCS9000 navigator. Supplier NCMRs are typically generated during the incoming inspection phase and relate to defects in materials sourced from external vendors. In-Process NCMRs arise from defects detected during the manufacturing process or when products are moved between work centers, often identified through quality control inspections. Customer Return NCMRs occur when clients return shipped items due to identified defects or nonconformities. Additionally, terms like RMA (Returned Material Authorizations) and CRM (Customer Return Material) are often associated with these processes. Understanding these categories is crucial for managing quality assurance effectively and ensuring that products meet the required standards before reaching customers.

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 

Screenshots View All

Screenshots View All

Integrations

Python No 

Integrations

Python Yes 

Pricing Details

$995 per month
Free Trial No 
Free Version No 

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 No 
Linux No 
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 Yes 
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 Yes 

Types of Training

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

Vendor Details

Company Name

JK Technologies

Website

www.jkt9000.com

Vendor Details

Company Name

Secure Mobile Networking Lab

Website

github.com/seemoo-lab/toothpicker

Product Features

Quality Management

Audit Management No 
Complaint Management Yes 
Compliance Management Yes 
Corrective and Preventive Actions (CAPA) Yes 
Defect Tracking Yes 
Document Control Yes 
Equipment Management Yes 
ISO Standards Management No 
Maintenance Management No 
Risk Management No 
Supplier Quality Control No 
Training Management No 

Product Features

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