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,...

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...

Damn-Vulnerable-GraphQL-Application

Damn Vulnerable GraphQL Application Damn Vulnerable GraphQL Application is an intentionally vulnerable implementation of Facebook's GraphQL technology, to learn and practice GraphQL Security. Table of Contents About DVGA Operation Modes Scenarios Prerequisites Installation Installation - Docker...

stringsifter

StringSifter is a machine learning tool that automatically ranks strings based on their relevance for malware analysis. Quick Links Technical Blogpost - Learning to Rank Strings Output for Speedier Malware Analysis Announcement Blogpost - Open Sourcing StringSifter DerbyCon Talk - StringSifter:...

WebGoat.NET

Webgoat.NET Source Code: https://github.com/jerryhoff/WebGoat.NET Download zip: https://github.com/jerryhoff/WebGoat.NET/zipball/master This web application is a learning platform that attempts to teach about common web security flaws. It contains generic security flaws that apply to most web...

covertchannels-steganography

Many people ask me how to start in the field of steganography/covert channels or how to improve their skills. I wrote this recopilation to help them with some good references, tools and books that I used and read I will add more soon. Books & Papers/Articles Information Hiding Techniques for...

YARA

Yara Repository of Yara rules I've come up with over time, mostly for learning purposes. Originally inspired by @greglesnewich HundredDaysOfYara challenge. I make no claims for this repository, use at your own risk. Huppy Hunting!...

network-threats-taxonomy

Network Threats And Tools Taxonomy Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies "A...

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...

lightbulb-framework

LightBulb LightBulb is an open source python framework for auditing web application firewalls and filters. Synopsis The framework consists of two main algorithms: GOFA : An active learning algorithm that infers symbolic representations of automata in the standard membership/equivalence query mode...

EVABS

EVABS Extremely Vulnerable Android Labs An open source Android application that is intentionally vulnerable so as to act as a learning platform for Android application security beginners. The effort is to introduce beginners with very limited or zero knowledge to some of the major and commonly...

Frida-Labs

This repository contains a series of challenges designed for learning Frida for Android. These are not like hardcore Capture The Flag CTF applications but will help you to start with Frida and its commonly used APIs. If you are entirely new to Frida, this is the perfect repository to get started....

WAF-A-MoLE

WAF-A-MoLE A guided mutation-based fuzzer for ML-based Web Application Firewalls, inspired by AFL and based on the FuzzingBook by Andreas Zeller et al. Given an input SQL injection query, it tries to produce a semantic invariant query that is able to bypass the target WAF. You can use this tool f...

be-a-hacker

Introduction Hacking is the art of using things in unintended ways. For example, if a software's trial is about to expire, you might be able to extend it by changing your computer's date to the previous week. That's hacking. There's no 'one right way' to learn hacking because it is a very broad...

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...

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,"...

awesome-entra

Awesome Entra A curated list of awesome Microsoft Entra tools, guides, and other resources. Contents Merill's newsletter & podcast Mind Map Learning Hubs Presentations aka.ms Tools Community YouTube Podcast Bluesky Twitter LinkedIn Blogs Merill's newsletter & podcast Entra.News - Weekly round up...

awesome-latency-attacks

Awesome Deep Learning Latency Attacks & Defenses This repository is maintained as a companion resource for the survey “Deep Learning Latency Attacks and Defenses: A Cross-Domain Survey.” It indexes papers, code links, taxonomy notes, and figures on latency-oriented availability threats in deploye...

shennina

Shennina Automating Host Exploitation with AI Abstract Shennina is an automated host exploitation framework. The mission of the project is to fully automate the scanning, vulnerability scanning/analysis, and exploitation using Artificial Intelligence. Shennina is integrated with Metasploit and Nm...

pvbrf-id

PVBRF-ID: Private, Verifiable and Byzantine-Robust Federated Intrusion Detection for Oilfield Enterprise Networks Simulation code, raw results and figure scripts for the paper Mustafa S. Aljumaily, Ali Ataeemh Allami, Mustafa N. Mnati, Nawar S. Alseelawi, Shahab Abdulla, "PVBRF-ID: Private,...