Popular GitHub Repositories for Exploits

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

?? Forta bot that detects deployment of smart contracts containing exploits

This repository exploits a finely tuned Stable Diffusion model and the robust DreamBooth framework to generate distinctive and personalizable avatars.

CVE-Search (name still in alpha), is a Machine Learning tool focused on the detection of exploits or proofs of concept in social networks such as Twitter, Github. It is also capable of doing related searches on Google, Yandex, DuckDuckGo on CVEs and detecting if the content may be a functional exploit, a proof of concept or simply information about the vulnerability.

A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent

[CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.

???? your way into Claude 3.5’s new Computer Use API! Deploy Metasploit, automate exploits, and make Claude your AI-powered hakcer sidekick. Drink all the AI's HACK ALL THE THINGS. Shenanigans included. ?????

[IMPORTANT: This library is now part of LangChain, follow its official documentation] A caching layer for LLMs that exploits Elasticsearch, fully compatible with LangChain caching, both for chat and embeddings models.

An innovative deep learning framework leveraging the CAT (Convolutions, Attention & Transformers) architecture to seamlessly integrate visual and textual modalities. This model exploits the prowess of CNNs for image feature extraction and Transformers for intricate textual pattern recognition, setting a new paradigm in multimodal learning.

When discriminator gets stuck in a local minimum, the generator exploits this by finding a very plausible set of outputs and keeps repeating them over and over. This form of GAN failure is called mode collapse.

Código y demos para generar exploits de kernel vulnerables y defensas en tiempo real con IA.