SecML

SecML: A library for Secure and Explainable Machine Learning SecML is an open-source Python library for the security evaluation of Machine Learning ML algorithms. It comes with a set of powerful features: Wide range of supported ML algorithms. All supervised learning algorithms supported by...

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...

Octopii

Octopii root@kitploit: ⠀⠀⠀⠀⠀⠀⠀⣤⣤⣄⣀⡀⠀⠀⠀⢀⣠⣤⣤⣄⡀⠀⠀⠀⢀⣀⣠⣤⣤⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠸⣿⣿⡿⠿⢿⣷⡄⢠⣿⣿⣿⣿⣿⣿⡄⢀⣾⡿⠿⢿⣿⣿⠇⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠈⠉⠀⠀⢸⣿⡇⢸⣿⣿⣿⣿⣿⣿⡇⢸⣿⡇⠀⠀⠉⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⣠⣤⡀⠀⠀⠀⠀⠀⠀⠀⢸⣿⡇⢸⣿⣿⣿⣿⣿⣿⡇⢸⣿⡇⠀⠀⠀⠀⠀⠀⠀⢀⣤⣄⠀⠀⠀ ⠸⣿⣿⣿⣿⣿⣿⣿⣿⣦⠀⢸⣿⡇⢸⣿⣿⣿⣿⣿⣿⡇⢸⣿⡇⠀⣴⣿⣿⣿⣿⣿⣿⣿⣿⠇⠀⠀ ⠀⠉⠉⠁⠀⠀⠀⠀⣿⣿⠀⢸⣿⡇⠀⠉⣿⣿⣿⣿⠉⠀⢸⣿⡇⠀⣿⣿⠀⠀⠀⠀⠈⠉⠉⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣀⣈⣻⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣟⣁⣀⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀...

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 root@kitploit: git clone https://github.com/omergunal/twebit cd twebit pip3 install -r requirements.txt Updat...

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...

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...

ctf-skills

ctf-skills Agent Skills for solving CTF challenges — web exploitation, binary pwn, crypto, reverse engineering, forensics, OSINT, and more. Works with any tool that supports the Agent Skills spec, including Claude Code. Installation root@kitploit: npx skills add ljagiello/ctf-skills Run with Frid...

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...

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...

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...

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...

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...

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...

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...

AIX360

AI Explainability 360 v0.3.0 ✨ NUEVO: IBM Research tiene un nuevo kit de herramientas In-Context Explainability 360 ICX360 que extiende la explicabilidad a los LLM , específicamente en cuanto a la entrada proporcionada al LLM. ¡Échale un vistazo! 🚀✨ El kit de herramientas AI Explainability 360 es...

machine_learning_security

机器学习与安全 关于机器学习与安全的源代码。 目录 网络安全与机器学习课程 面向安全工程师的机器学习初级培训课程。 机器学习漏洞 机器学习漏洞总结。 分析 使用k-means分析数据包捕获数据。 CNNtest 生成针对CNN的对抗样本。 Deep Exploit 使用机器学习的全自动渗透测试工具。 Deep Exploit 曾在 Black Hat USA 2018 Arsenal 、Black Hat EURO 2018 Arsenal 以及 DEF CON 26! AI Village 展示。 GyoiThon 下一代渗透测试工具。 GyoiThon 曾在 Black Hat AS...

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...

NGWAF

N3XT-G3N Web App Firewall NGWAF NGWAF is created by@yupengfei, @zhangbosen, @matthewng and @elizabethlim. Special shoutout to@ruinahkoh for her contributions to the initial stages of NGWAF. NGWAF is an experimental proof of concept and not ready for production use in its current form. Contents 1...

secretflow

简体中文｜English SecretFlow是一个统一的框架，用于保护隐私的数据智能和机器学习。为了实现这个目标，它提供了以下内容： 抽象设备层，包括明文设备和封装了各种密态协议的密态设备。 设备流层，将高阶算法转为设备对象流和DAG。 算法层，使用水平或垂直分区的数据进行数据分析和机器学习。 工作流层，无缝集成数据处理、模型训练和超参调整。 文档 SecretFlow 快速开始 用户指南 API文档 教程 相关项目 Kuscia: 一款基于 K3s 的轻量级隐私计算任务编排框架。 SCQL: 允许多个不信任方在不泄露其私人数据的情况下进行联合分析的系统。 SPU:...

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...