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...

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 and . It classifies traffic as client or server, rewrites Layer 2/3/4 headers, and replays it back onto the network through...

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...

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...

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 ...

PacketPatch

PacketPatch: Practical Generation and Deployment of Adversarial Packets for Byte-Feature-Based Encrypted Traffic Classification Paper : PacketPatch: Practical Generation and Deployment of Adversarial Packets for Byte-Feature-Based Encrypted Traffic Classification Authors : Yuwei Xu, Yuanyuan Xu,...

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...

DeepTraffic

Deep Learning models for network traffic classification For more information please read our papers. 🎓Wei Wang's Google Scholar Homepage Wei Wang, Xuewen Zeng, Xiaozhou Ye, Yiqiang Sheng and Ming Zhu,"Malware Traffic Classification Using Convolutional Neural Networks for Representation Learning,"...

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 root@kitploit: graph TD UIuserinterface.py\nGUI controller --...

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 - 2014...

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...

DNSrecon-gui

My website: https://microjoan.com My blog: https://darkhacking.es/ Buy me a coffee: https://www.buymeacoffee.com/microjoan DISCLAIMER This toolkit contains materials that can be potentially damaging or dangerous for social media. Refer to the laws in your province/country before accessing, using,...

Octopii

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

dga_predict

使用LSTM预测域名生成算法 这个代码库包含非常简单的代码，用于将域名分类为DGA或良性。该代码展示了我们在arxiv论文（https://arxiv.org/abs/1611.00791）中的结果。一个区别是数据集。论文和这个代码库都使用Alexa前100万作为良性域名，但这个代码库为简单起见生成了自己的域名。 我们还仅实现了论文中的LSTM和bigram分类器。这两个是最好的分类器，并且在Keras中实现简单。 运行代码 python run.py...

BlackStone

My website: https://microjoan.com My blog: https://darkhacking.es/ Use and installation video: https://youtu.be/qasPlaaYxiU Buy me a coffee: https://www.buymeacoffee.com/microjoan BlackStone Project 2.0 For Kali Linux BlackStone project or "BlackStone Project" is a tool created in order to automa...

DomainMOD 4.13.0 - Cross-Site Scripting

DomainMOD 4.13.0 is vulnerable to cross-site scripting via reporting/domains/cost-by-owner.php in the "or Expiring Between" parameter. id: CVE-2020-20988 info: name: DomainMOD 4.13.0 - Cross-Site Scripting author: arafatansari severity: medium description: | DomainMOD 4.13.0 is vulnerable to...

yara

!IMPORTANT Este proyecto está en modo de mantenimiento. Más información: https://virustotal.github.io/yara-x/blog/yara-x-is-stable/ YARA en pocas palabras YARA es una herramienta destinada aunque no limitada a ayudar a los investigadores de malware a identificar y clasificar muestras de malware...

Certitude

Certitude is a Python package to perform supervised malicious URL classification using a joint set of lexicographic and certificate features. All COSSAS projects are hosted onGitLab with a push mirror to GitHub. For issues/contributions check CONTRIBUTING.md Getting Started Certitude requires...

log4j-log4shell-affected

log4j-log4shell-受影响组件列表 针对 CVE-2021-44228（又称 Log4shell 或 Log4j RCE）的受影响组件与受影响应用/厂商清单，供安全响应人员使用。 我们认为有必要将厂商和产品分为两类： 1. 内部风险 ——需要优先修补以消除内部风险的部分 2. 外部风险 ——所有可能已被入侵的、保管您数据的第三方/第四方厂商；在完成内部修补后，需要监控并处理的那些 以下是清单： 外部风险 - 受影响的应用 即：如果您的数据存储在其环境中，或者它们可访问您的环境，那么您应当关注的所有厂商。 内部风险 - 受影响的组件...

wireshark-forensics-plugin

wireshark-forensics-plugin Wireshark es el analizador de tráfico de red más utilizado. Es una herramienta importante tanto para el análisis de tráfico en vivo como para el análisis forense por parte de analistas de malware/forenses. Aunque Wireshark proporciona funcionalidades increíblemente...