Information Security
Adversarial Robustness Toolbox Adversarial Robustness 360 Toolbox (ART) is a Python library supporting developers and researchers in defending Machine Learning models (Deep Neural Networks, Gradient Boosted Decision Trees, Support Vector Machines, Random Forests, Logistic...
Poseidon Poseidon began as a joint effort between two of the IQT Labs: Cyber Reboot and Lab41. The project’s goal is to explore approaches to better identify what nodes are on a given (computer) network and understand...
Credential Digger Credential Digger is a GitHub scanning tool that identifies hardcoded credentials (Passwords, API Keys, Secret Keys, Tokens, personal information, etc), filtering the false positive data through machine learning models. It supports Python...
Automated Security Risk Identification Using AutomationML-based Engineering Data This prototype identifies security risk sources (i.e., threats and vulnerabilities) and types of attack consequences based on AutomationML (AML) artifacts. The results of the risk identification...
Kam1n0 v2.x is scalable assembly management and analysis platform. It allows a user to first index a (large) collection of binaries into different repositories and provides different analytic services such as clone search. It...
Pesidious – Malware Mutation using Deep Reinforcement Learning and GANs Pesidious is an open-source tool that uses Generative Adversarial Networks (GAN) and Reinforcement Learning (RL) to generate mutative malware that can evade nextgen AI-powered...
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:...
Deep Exploit Fully automatic penetration test tool using Machine Learning. Deep Exploit is fully automated penetration tool linked with Metasploit. Deep Exploit has two exploitation modes. Intelligence mode Deep Exploit identifies the status of all opened...
Mimir Smart OSINT collection of common IOC types. Overview This application is designed to assist security analysts and researchers with the collection and assessment of common IOC types. Accepted IOCs currently include IP addresses,...
pcfg_cracker This project uses machine learning to identify password creation habits of users. A PCFG model is generated by training on a list of disclosed plaintext/cracked passwords. In the context of this project, the...
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