SAFE

SAFE SAFE performs controlled, repository-aware security assessment of Semgrep and Trivy findings in research artifacts. It supports two independent classification tasks: direct binary prediction SECURITYRELEVANT or NONSECURITY and the detailed multiclass contextual taxonomy three labels — see...

misp-taxonomies

MISP Taxonomies MISP Taxonomies is a set of common classification libraries to tag, classify and organise information. Taxonomy allows to express the same vocabulary among a distributed set of users and organisations. Taxonomies that can be used in MISP and other information sharing tool, are...

aiengine

AIEngine Artificial Intelligent Engine AIEngine is a next generation interactive/programmable Python/Ruby/Java/Lua and Go network intrusion detection system engine with capabilities of learning without any human intervention, DNS domain classification, Spam detection, network collector, network...

Nexora

Nexora Nexora is an AI-driven enterprise endpoint governance and security intelligence system that monitors software usage across machines, applies policy-based risk classification, and generates structured behavioral and security reports. It is designed for environments where organizations need...

DECEIVE

DECEIVE DECEIVE, the DECeption with Evaluative Integrated Validation Engine , is a high-interaction, low-effort honeypot system. Unlike most high-interaction honeypots, DECEIVE doesn't provide attackers with access to any actual system. AI actually does all the work of simulating a realistic...

inhale

Inhale - Malware Inhaler Inhale is a malware analysis and classification tool that is capable of automating and scaling many static analysis operations. This is the beta release version, for testing purposes, feedback, and community development. Background Inhale started as a series of small...

wireshark-forensics-plugin

wireshark-forensics-plugin Wireshark is the most widely used network traffic analyzer. It is an important tool for both live traffic analysis & forensic analysis for forensic/malware analysts. Even though Wireshark provides incredibly powerful functionalities for protocol parsing & filtering, it...

http-desync-guardian

Overview HTTP/1.1 went through a long evolution since 1991 to 2014: HTTP/0.9 – 1991 HTTP/1.0 – 1996 HTTP/1.1 RFC 2068 – 1997 RFC 2616 - 1999 RFC 7230 - 2014 This means there is a variety of servers and clients, which might have different views on request boundaries, creating opportunities for...

bug-bounty-library

Bug Bounty / Original Findings Library Folders are numbered in the order a hunter actually works - first to last. Start at 00-hunt/00-INDEX. Run the hunt from 00-hunt/ALPHA. This README is only the map. Authorization only. Safe harbor, VDP, GitHub PVR, or coordinated disclosure. No other-customer...

Vulnhalla

Vulnhalla Automated CodeQL Analysis with LLM Classification For a detailed overview of the research and motivation behind Vulnhalla, see the official CyberArk Threat Research blog post: Vulnhalla: Picking the True Vulnerabilities from the CodeQL Haystack Vulnhalla automates the complete security...

API-attack-detection-with-AI

Detection of SQL/XSS Attacks on Web API with Artificial Intelligence / Machine Learning This project aims to detect SQL and XSS injections in API requests/params using machine learning. Project Overview This project aims to detect SQL and XSS injections in API requests and parameters using Machin...

tcpreplay

Tcpreplay Tcpreplay is a suite of GPLv3 licensed utilities for UNIX and Windows under Cygwin for editing and replaying network traffic previously captured by tools like tcpdump and Wireshark. It classifies traffic as client or server, rewrites Layer 2/3/4 headers, and replays it back onto the...

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...

rapidscan

🟥 RapidScan v1.2 - The Multi-Tool Web Vulnerability Scanner RapidScan has been ported to Python3 i.e. v1.2. The Python2.7 codebase is available on v1.1 releases section. Download and use it if you still haven't upgraded to Python 3. Kindly note that the v1.1 Python2.7 will not be enhanced further...

PcapXray

PcapXray A network forensics tool — visualize PCAP files or live traffic as an annotated network diagram with device identification, protocol classification, Tor detection, and malicious traffic flagging. Module Overview graph TD UIuserinterface.py\nGUI controller -- PRpcapreader\nFile + Live...

domain_generation_algorithms

Domain Generation Algorithms Domain Generation Algorithms DGAs of Malware reimplemented in Python. Overview banjori aka MultiBanker 2, BankPatcher Links http://johannesbader.ch/2015/02/the-dga-of-banjori/ Example Domains earnestnessbiophysicalohax.com kwtoestnessbiophysicalohax.com...

blackhat-arsenal-tools

Black Hat Arsenal Tools Official Account Arsenal This github account maps to the Black Hat Arsenal tools since its inception in 2011. For readibility, the tools are classified by category and not by session. This account is maintained by ToolsWatch.org the official organizer of the Black Hat...

vex8s

Vex8s this logo is not AI generated Vex8s generates VEX documents by correlating container vulnerabilities with Kubernetes settings to determine which CVEs are actually exploitable in your cluster. Please note, this is an experimental project. Things might change quickly. How It Works The project...

AI-driven-MITRE-Attack

POC : AI-driven MITRE Attack Detection and Alert Enrichment This repository demonstrates a machine learning pipeline for detecting MITRE ATT&CK techniques from logs and enriching the output using a local LLM. Overview The project is divided into two main components : 1. Machine Learning Model ML ...

dga-collection

DGA Collection A collection of known Domain Generation Algorithms: Torpig ZeusBot Cryptolocker Necurs Symmi Ranbyus Usage For each DGA, the list of domains can be easily generated: from datetime import date from Necurs import Necurs Compute domains for the current day/period: Necurs.domains Compu...