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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

ToothFairyAI is a Software-as-a-Service (SaaS) platform that delivers robust APIs for Natural Language Processing (NLP) and Natural Language Generation (NLG). With ToothFairyAI, users can swiftly and effortlessly incorporate a diverse array of transformer models into their applications, benefiting from easy configuration and personalization options via the ToothFairyAI app. The primary goal of ToothFairyAI is to simplify the development of natural language applications, requiring minimal user input and effort. It boasts a comprehensive library of pre-trained models that serve as a foundation for tailored solutions. Furthermore, ToothFairyAI features an easy-to-navigate user interface, allowing users to customize and configure these models seamlessly. This functionality empowers users to rapidly develop advanced NLP and NLG applications that meet their specific needs. In this way, ToothFairyAI stands out as an invaluable tool for developers seeking to enhance their language processing capabilities.

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

No images available

Screenshots View All

Integrations

Python No 

Integrations

Python Yes 

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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
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 No 

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

ToothFairyAI

Founded

2023

Country

Australia

Website

toothfairyai.com/home

Vendor Details

Company Name

Secure Mobile Networking Lab

Website

github.com/seemoo-lab/toothpicker

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Natural Language Generation

Business Intelligence No 
CRM Data Analysis and Reports No 
Chatbot No 
Email Marketing No 
Financial Reporting No 
Multiple Language Support No 
SEO No 
Web Content No 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Product Features

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