3413 matches found
dtls-fuzzer
dtls-fuzzer is a Java tool which performs protocol state fuzzing of DTLS servers. More concretely, it supports the following functionality: 1. given an alphabet, it can automatically generate a model of a local DTLS server implementation; 2. given a test sequence of inputs and an alphabet, it can...
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...
SharpML
SharpML SharpML is a proof of concept file share data mining tool using Machine Learning in Python and C. The tool is discussed in more detail on our blog here, but is summarised below also: SharpML is C and Python based tool that performs a number of operations with a view to mining file shares,...
ai-exploits
AI Exploits The AI world has a security problem and it's not just in the inputs given to LLMs such as ChatGPT. Based on research done by Protect AI and independent security experts on the Huntr Bug Bounty Platform, there are far more impactful and practical attacks against the tools, libraries an...
CVE-2025-25014
POC for CVE-2025-25014 A Prototype pollution vulnerability in Kibana leads to arbitrary code execution via crafted HTTP requests to machine learning and reporting endpoints. Currently this POC only detects vulnerable instances. Usage python CVE-2025-25014.py -u username -p password --proxy proxyu...
K2-CLI
Khao2 ██╗ ██╗ ██████╗ ██║ ██╔╝ ╚════██╗ █████╔╝ █████╔╝ ██╔═██╗ ██╔═══╝ ██║ ██╗ ███████╗ ╚═╝ ╚═╝ ╚══════╝ Every single bit. Easy to use, informative and comprehensive steganalysis suite. This is a CLI tool for my SaaS sidehustle khao2.com for steganalysis. FAQs But what really is Khao2/K2? K2 is ...
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...
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 🔗 💉...
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...
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...
anomaly-flow
Anomaly-Flow Framework for implementing Intrusion Detection Systems NIDS aimed at identifying anomalies in network flows using Machine Learning models. Reference paper: Anomaly-Flow: A Multi-domain Federated Generative Adversarial Network for Distributed Denial-of-Service Detection Create the...
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...
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...
network-attack-detection
Network Attack Detection using Machine Learning Description This project leverages machine learning techniques to classify network attacks such as Port Scanning, Denial of Service DoS, and malware. The input data is in the Netflow V9 format, which is a standard format used by Cisco. The...
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...
cleverhans
CleverHans latest release: v4.0.0 This repository contains the source code for CleverHans, a Python library to benchmark machine learning systems' vulnerability to adversarial examples. You can learn more about such vulnerabilities on the accompanying blog. The CleverHans library is under continu...
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...
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...
twebit
Bitcoin analysis with machine learning How it works? 1- Get tweets from twitter 2- Filter tweets 3- Tweet classification with naive bayes algorithm Positive,negative and neut Installation git clone https://github.com/omergunal/twebit cd twebit pip3 install -r requirements.txt Update your api keys...