hexora

hexora Hexora is a static analysis tool designed to detect malicious and harmful patterns in Python code. It combines a rule-based static analysis engine with a machine-learned model that scores entire source files to classify them as malicious or benign. It can be used to: Audit project...

pentagi

PentAGI P enetration testing A rtificial G eneral I ntelligence Join the Community! Connect with security researchers, AI enthusiasts, and fellow ethical hackers. Get support, share insights, and stay updated with the latest PentAGI developments. ⠀ Table of Contents Overview Features Architecture...

hermes-agent

Hermes Agent ☤ Hermes Agent | Hermes Desktop The self-improving AI agent built byNous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a...

pentest_lab

Pentest Lab I'm not actively developing on this anymore, but will fix bugs and look at issues and pull requests. Help is appreciated : This local pentest lab leverages docker compose to spin up multiple victim services and an attacker service running Kali Linux. If you run this lab for the first...

PassGAN

PassGAN This repository contains code for the PassGAN: A Deep Learning Approach for Password Guessing paper. The model from PassGAN is taken from Improved Training of Wasserstein GANs and it is assumed that the authors of PassGAN used the improvedwgantraining tensorflow implementation in their...

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...

Apkx-Hunter

APKX-Hunter v2.7.2 — Debian Package APKX-Hunter is an open-source Android Static Analysis Framework written entirely in C , purpose-built for Android security assessments, reverse engineering, malware analysis, OWASP MASVS compliance scanning, bug bounty hunting, and penetration testing. The...

DroidDetective

🕵️ A machine learning malware analysis framework for Android apps. ☢️ DroidDetective is a Python tool for analysing Android applications APKs for potential malware related behaviour and configurations. When provided with a path to an application APK file Droid Detective will make a prediction using...

awesome-ai-security

Awesome AI Security A curated list of awesome AI security related frameworks, standards, learning resources and open source tools. If you want to contribute, create a PR or contact me @ottosulin. Table of Contents Learning Resources Reading & Guides Courses, Labs & CTFs Podcasts Governance & Risk...

CVE-2018-2893

This software is for learning and communication purposes only and must not be used for any illegal activities The main purpose of this name is to ride on the popularity of 2893 — a reverse shell generator It is primarily used to generate your own external network nc listening object, hoping to he...

Awesome-Hacking-Resources

Awesome Hacking Resources A curated collection of hacking, penetration testing, and AI red-teaming resources to make you better. Let's make it the biggest resource repository for our community. You are welcome to fork and contribute. We also maintain a companion tools list — contributions welcome...

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,...

WhatTheHack

What The Hack - Repo Welcome to the What The Hack repo on GitHub. This repo contains Coach content designed for people planning to host a What The Hack event with students in an organization. If you are an organization that is interested in attending or hosting a What The Hack event, please visit...

CyberBattleSim

CyberBattleSim April 8th, 2021: See the announcement on the Microsoft Security Blog. CyberBattleSim is an experimentation research platform to investigate the interaction of automated agents operating in a simulated abstract enterprise network environment. The simulation provides a high-level...

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...

Cybersecurity-Projects

Cybersecurity Projects 🐉 70 Cybersecurity Projects, Certification Roadmaps & Resources Made possible by CertGames View Complete Projects: Currently building: DDoS Mitigation Tool Quick Navigation Projects Hands-on cybersecurity projects with full source code, organized in four tiers — Foundations...

URL_CHECKER

URL Phishing Checker A lightweight, web-based tool that detects whether a URL is likely phishing or safe using a hybrid approach of Machine Learning Random Forest/SVM and heuristic rule-based analysis. Built for educational purposes and experimentation in cybersecurity and applied AI. Overview...

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...

FML-Network

FLNET2023: Realistic Network Intrusion Detection Dataset for Federated Learning Paper: FLNET2023: Realistic Network Intrusion Detection Dataset for Federated Learning Dataset: FLNET2023 Introduction FLNET2023 is a state-of-the-art benchmark dataset for intrusion detection systems, specifically fo...

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...