8841 matches found
Web-Security-Learning
Web-Security-Learning Repository: https://github.com/CHYbeta/Web-Security-Learning Knowledge Planet Vulnerability Attack and Defense: https://t.zsxq.com/mm2zBeq Table of Contents: Web-Security-Learning Web Security SQL Injection MySQL MSSQL PostgreSQL MongoDB Techniques Tools XSS CSRF Other...
AutoPentest-DRL
AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning AutoPentest-DRL is an automated penetration testing framework based on Deep Reinforcement Learning DRL techniques. AutoPentest-DRL can determine the most appropriate attack path for a given logical network, and can...
exim-rce-cve-2018-6789
Exim RCE CVE-2018-6789 Learning Environment Description This is a set of files, scripts, notes, ... to set up an environment to investigate the Exim RCE CVE-2018-6789. It can be used to debug Exim, write exploits, trace Exim function calls, learn about Exim's custom memory management storeblocks,...
degas
Degas DGA-generated domain detection using deep learning models Running I'm currently using Conda Anaconda/Miniconda for development, but you should be able to use Pipenv or virtualenv as well using the included requirements.txt. conda: conda env create -f environment.yml conda activate degas...
SEVulDet
SEVulDet SEVulDet is a semantics-enhanced deep learning-based framework that can accurately pinpoint vulnerability patterns by extracting, preserving, and learning more semantics. E-mail for communication: [email protected] Details of SEVulDet Recent years have seen increased attention to de...
pulsar
PULSAR Protocol Learning, Simulation and Stateful Fuzzer Pulsar is a network fuzzer with automatic protocol learning and simulation capabilites. The tool allows to model a protocol through machine learning techniques, such as clustering, and Markov models. These models can be used to simulate...
batea
Batea A batea is a large shallow pan of wood or iron traditionally used by gold prospectors for washing sand and gravel to recover gold nuggets. Batea is a context-driven network device ranking framework based on the anomaly detection family of machine learning algorithms. The goal of Batea is to...
awesome-appsec
Awesome AppSec A curated list of resources for learning about application security. Contains books, websites, blog posts, and self-assessment quizzes. Maintained by Paragon Initiative Enterprises with contributions from the application security and developer communities. We also have other...
Octopii
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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...
deep-loglizer
Deep-loglizer Deep-loglizer is a deep learning-based log analysis toolkit for automated anomaly detection. If you use deep-loglizer in your research for publication, please kindly cite the following paper: Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, and Michael R. Lyu. Experience Report: De...
Cappriciosec-University
📚 Cappriciosec University – India’s First Hacker E-Learning Platform Cappriciosec University is India’s first e-learning platform for hackers, cybersecurity beginners, and bug bounty hunters. We are focused on ethical hacking, penetration testing, IoT hacking, cyber crime investigation, and...
loglizer
loglizer Loglizer is a machine learning-based log analysis toolkit for automated anomaly detection. Loglizer是一款基于AI的日志大数据分析工具, 能用于自动异常检测、智能故障诊断等场景 Logs are imperative in the development and maintenance process of many software systems. They record detailed runtime information during system...
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...
HaccTheHub
HaccTheHub Open source self-hosted cyber security learning platform About The Project HaccTheHub is an open source project that provides cyber security The HaccTheHub system consists of 3 main parts: Docker: containing all of the boxes creating the environment in which we'll be learning on. The...
smart-contract-attack-vectors
Smart contract attack vectors The goal of this repository is to compile all possible smart contract vulnerabilities and resources for learning about them. Feel free to submit a pull request, with anything from small fixes to docs or tools you'd like to add. List of Security Vulnerabilities Access...
BlueBox
BlueBox Malware analysis Box and Cyber threat Hunting What is it? Threat intelligence data about a malware, an IP or a domain , URL ? a Quick Analysis suspicious File or Malware ! BlueBox is an Open Source Intelligence, or OSINT solution to get threat intelligence data about a specific file, an I...
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...
robustbench
RobustBench: a standardized adversarial robustness benchmark Francesco Croce University of Tübingen, Maksym Andriushchenko EPFL, Vikash Sehwag Princeton University, Edoardo Debenedetti EPFL, Nicolas Flammarion EPFL, Mung Chiang Purdue University, Prateek Mittal Princeton University, Matthias Hein...
Moodle 3.8-3.10.3 - Reflected XSS & Open Redirect
Moodle versions 3.10 to 3.10.3, 3.9 to 3.9.6, 3.8 to 3.8.8 contain a reflected XSS and open redirect caused by insufficient sanitization of the redirect URI in the LTI authorization endpoint, letting attackers execute scripts or redirect users maliciously, exploit requires crafted URL with...