offensive-ai-compilation

Offensive AI Compilation A curated list of useful resources that cover Offensive AI. 📁 Contents 📁 🚫 Abuse 🚫 🧠 Adversarial Machine Learning 🧠 ⚡ Attacks ⚡ 🔒 Extraction 🔒 ⚠️ Limitations ⚠️ 🛡️ Defensive actions 🛡️ 🔗 Useful links 🔗 ⬅️ Inversion or inference ⬅️ 🛡️ Defensive actions 🛡️ 🔗 Useful links 🔗 💉...

machine_learning_security

Machine Learning and Security Source codes about machine learning and security. Line up. Cyber security and Machine Learning course The elementary training course of Machine learning for security engineer. Vulnerabilities of Machine Learning Summary of Machine Learning vulnerability. Analytics...

SyntheticSun

SyntheticSun SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats. You sleep in fragmented glass With...

WAF-A-MoLE

WAF-A-MoLE A guided mutation-based fuzzer for ML-based Web Application Firewalls, inspired by AFL and based on the FuzzingBook by Andreas Zeller et al. Given an input SQL injection query, it tries to produce a semantic invariant query that is able to bypass the target WAF. You can use this tool f...

network-threats-taxonomy

Network Threats And Tools Taxonomy Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies "A...

columbo

Columbo Columbo is a computer forensic analysis tool used to simplify and identify specific patterns in compromised datasets. It breaks down data to small sections and uses pattern recognition and machine learning models to identify adversaries behaviour and their possible locations in compromise...

pcfg_cracker

PCFG = Probabilistic Context Free Grammar PCFG = Pretty Cool Fuzzy Guesser In short: A collection of tools to perform research into how humans generate passwords. These can be used to crack password hashes, but also create synthetic passwords honeywords, or help develop better password strength...

AIF360

AI Fairness 360 AIF360 The AI Fairness 360 toolkit is an extensible open-source library containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI application lifecycle. AI Fairness 360 package is available in both Pytho...

robustbench

RobustBench: a standardized adversarial robustness benchmark Francesco Croce University of Tübingen, Maksym Andriushchenko EPFL, Vikash Sehwag Princeton University, Edoardo Debenedetti EPFL, Nicolas Flammarion EPFL, Mung Chiang Purdue University, Prateek Mittal Princeton University, Matthias Hein...

deep-pwning

Deep-pwning is a lightweight framework for experimenting with machine learning models with the goal of evaluating their robustness against a motivated adversary. Note that deep-pwning in its current state is no where close to maturity or completion. It is meant to be experimented with, expanded...

uriDeep

uriDeep Unicode encoding attacks with machine learning. Tool based on machine learning to create amazing fake domains using confusables. Some domains can deceive IDN policies Chrome & Firefox. I created the best big dictionary of confusables using neural networks. It is used in the tool and it ca...

Manati

ManaTI Project Machine Learning for Threat Intuitive Analysis The goal of the ManaTI project is to develop machine learning techniques to assist an intuitive threat analyst to speed the discovery of new security problems. The machine learning will contribute to the analysis by finding new...

DGA

DGA The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the possibility of applying machine learning and neural networks to detect and classify malicious domains. List of wordlist's alexa.csv alexa top million...

foolbox

home: true heroImage: /logo.png heroText: Foolbox tagline: "Foolbox: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX" actionText: Get Started → actionLink: /guide/ features: title: Native Performance details: Foolbox 3 is built on to...

secretflow

简体中文｜English SecretFlow is a unified framework for privacy-preserving data intelligence and machine learning. To achieve this goal, it provides: An abstract device layer consists of plain devices and secret devices which encapsulate various cryptographic protocols. A device flow layer modeling...

Apkx-Hunter

APKX-Hunter v3.0.0 -- Debian Package APKX-Hunter at Black Hat Arsenal Europe 2026 View APKX-Hunter on Black Hat Europe Arsenal APKX-Hunter is an open-source Android Static Analysis Framework written entirely in C , purpose-built for Android security assessments, reverse engineering, malware...

river

River is a Python library for online machine learning. It aims to be the most user-friendly library for doing machine learning on streaming data. River is the result of a merger between creme and scikit-multiflow. ⚡️ Quickstart As a quick example, we'll train a logistic regression to classify the...

pulsar

PULSAR Protocol Learning, Simulation and Stateful Fuzzer Pulsar is a network fuzzer with automatic protocol learning and simulation capabilites. The tool allows to model a protocol through machine learning techniques, such as clustering, and Markov models. These models can be used to simulate...

ache

ACHE Focused Crawler ACHE is a focused web crawler. It collects web pages that satisfy some specific criteria, e.g., pages that belong to a given domain or that contain a user-specified pattern. ACHE differs from generic crawlers in sense that it uses page classifiers to distinguish between...

AIX360

AI Explainability 360 v0.3.0 ✨ NEW: IBM Research has a new In-Context Explainability 360 ICX360 toolkit that extends explainability to LLMs , specifically in terms of the input given to the LLM. Please check it out! 🚀✨ The AI Explainability 360 toolkit is an open-source library that supports...