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OpenAttack – An Open-Source Package For Textual Adversarial Attack

OpenAttack is an open-source Python-based textual adversarial attack toolkit, which handles the whole process of textual adversarial attacking, including preprocessing text, accessing the victim model, generating adversarial examples and evaluation. ...

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WAF-A-MoLE – A Guided Mutation-Based Fuzzer For ML-based Web Application Firewalls

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 th...

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CyberBattleSim – An Experimentation And Research Platform To Investigate The Interaction Of Automated Agents In An Abstract Simulated Network Environments

CyberBattleSim is an experimentation research platform to investigate the interaction of automated agents operating in a simulated abstract enterprise network environment. The simulation provides a high-level abstraction of computer networks and c...

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Columbo – A Computer Forensic Analysis Tool Used To Simplify And Identify Specific Patterns In Compromised Datasets

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...

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Nethive-Project – Restructured And Collaborated SIEM And CVSS Infrastructure

The Nethive Project provides a Security Information and Event Management (SIEM) insfrastructure empowered by CVSS automatic measurements. Features Machine Learning powered SQL Injection Detection Server-side XSS Detection based on Chrome's XSS A...

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Pesidious – Malware Mutation Using Reinforcement Learning And Generative Adversarial Networks

Malware Mutation using Deep Reinforcement Learning and GANs The purpose of the tool is to use artificial intelligence to mutate a malware (PE32 only) sample to bypass AI powered classifiers while keeping its functionality intact. In the past, notable ...

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uriDeep – Unicode Encoding Attacks With Machine Learning

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 ne...

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