Multimodal-Unlearnable-Examples

Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning ACM MM2024 Abstract : Multimodal contrastive learning MCL has shown remarkable advances in zero-shot classification by learning from millions of image-caption pairs crawled from the Internet. However, this...

Apkx-Hunter

APKX-Hunter v3.0.0 -- Debian Package APKX-Hunter at Black Hat Arsenal Europe 2026 View APKX-Hunter on Black Hat Europe Arsenal APKX-Hunter is an open-source Android Static Analysis Framework written entirely in C , purpose-built for Android security assessments, reverse engineering, malware...

hermes-agent

Hermes Agent ☤ Hermes Agent | Hermes Desktop The self-improving AI agent built byNous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a...

Awesome-Hacking-Resources

Awesome Hacking Resources A curated collection of hacking, penetration testing, and AI red-teaming resources to make you better. Let's make it the biggest resource repository for our community. You are welcome to fork and contribute. We also maintain a companion tools list — contributions welcome...

CVE-2024-38063

CVE-2024-38063 Windows Vulnerability that allows the implementation of unauthorised activity over the network: remote execution of Windows TCP/IP remote code. Two virtual machines - a victim and an attacker - are ready to simulate the attack. On the victim machine, a tool for capturing network...

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...

AI_Security_Top

🛡️ AI-Security-Knowledge-Base This is a systematic AI security research project, covering a complete knowledge system from foundational machine learning algorithm theory to cutting-edge large model injection attacks, AI evasion countermeasures, and Deepfake. 🏗️ Knowledge System Architecture The...

awesome-web-security

Awesome Web Security 🐶 Curated list of Web Security materials and resources. Needless to say, most websites suffer from various types of bugs which may eventually lead to vulnerabilities. Why would this happen so often? There can be many factors involved including misconfiguration, shortage of...

50-Days-Of-SQLi

50-Days-Of-SQLi Q. Why I am starting this? I have always struggled as a bug hunter. Whenever I read anything new I learn from it but hardly implement it. And because of that whenever I read anything now, it feels like I know it and so couldn't digest complete information that the writeup has to...

vulnmachines

Hi there 👋 Vulnmachines is a cybersecurity learning platform where security enthusiasts can get a hands-on experience of various skills in different cybersecurity categories through Capture The Flag Contests. Checkout our Platform Vulnmachines.com Our YouTube channel Vulnmachines Follow us YouTub...

CyberBattleSim

CyberBattleSim April 8th, 2021: See the announcement on the Microsoft Security Blog. 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...

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...

clair

Clair Note : The main branch may be in an unstable or even broken state during development. Please use releases instead of the main branch in order to get stable binaries. Clair is an open source project for the static analysis of vulnerabilities in application containers currently including OCI...

PQCrypto-LWEKE

FrodoKEM: Learning with Errors Key Encapsulation This C library implements FrodoKEM , an IND-CCA secure key encapsulation KEM protocol based on the well-studied Learning with Errors LWE problem 1,3, which in turn has close connections to conjectured-hard problems on generic, "algebraically...

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,...

The Quantum Ad-List

The Quantum Ad-List Next-Generation AI-Powered Ad & Tracker Blocking 📜 Table of Contents 1. Legal & Ethical Notice 2. Project Overview Maintainers Technical Architecture Motivation Security & Privacy 3. Installation Hosts File Integration Ad-Blocker Compatibility Pi-hole Integration 4. Issue...

guardd

Guardd Behavioral anomaly detection for Linux, powered by eBPF and machine learning. Guardd learns how a Linux host normally behaves and flags activity that differs from that baseline. Kernel sensors collect process executions and outbound TCP connection attempts; an Isolation Forest scores the...

hexora

hexora Hexora is a static analysis tool designed to detect malicious and harmful patterns in Python code. It combines a rule-based static analysis engine with a machine-learned model that scores entire source files to classify them as malicious or benign. It can be used to: Audit project...

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!...

Jammer-Loc

Jammer-Loc This repository includes the code and the Dataset Link for the paper “Machine and Deep Learning for Indoor UWB Jammer Localization.” Usage Example Run the hyperparameter optimization process: python hpo.py \ --task classification \ --mode actual \ --framework ml \ --config config.yaml ...