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~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
- academia
- arxiv
- brave
- deep-research
A deliberately vulnerable CI/CD environment. Learn CI/CD security through multiple challenges.
What's in your data? Extract schema, statistics and entities from datasets
- python
- privacy
- pii
- npi
Curated reverse-engineering tools and learning resources for binaries, apps, firmware, formats, and protocols.
- awesome-list
- binary-analysis
- ghidra
- malware-analysis
NFStream: a Flexible Network Data Analysis Framework.
- data-science
- data-analysis
- data-mining
- network-analysis
A pure Python HTML5 parser that just works. No C extensions to compile. No system dependencies to install. No complex API to learn.
A machine learning tool that ranks strings based on their relevance for malware analysis.
- machine-learning
- fireeye-flare
- strings
- malware-analysis
Learn cloud security by building it! An open-source homelab teaching Zero Trust, DevSecOps, IaC, and cloud architecture from the ground up.
CNN | Keras/PyTorch | CAPTCHA recognition（卷积神经网络、Keras/PyTorch框架、验证码识别）
- captcha
- cnn-keras
- machine-learning
- pytorch-cnn
基于深度学习的12306验证码识别
- 12306
- captcha
- recognizer
- deep-learning
Things we learned from Capture The Flag hacking competitions we participated in.
- hacking-competitions
- ctf-writeups
- ctf
- challenges
Create adversarial attacks against machine learning Windows malware detectors
- adversarial-machine-learning
- infosec
- python
- attack
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
- ai-engineering
- course
- data-engineering
- deep-learning
Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.
- malware
- pe-malware
- malware-dataset
- malware-research
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Effects of packers on machine-learning-based malware classifiers that use only static analysis
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
- docker-image
- executable-packing
- malware-packers
- research-platform
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
🛡️ Free AI that blocks hackers while you sleep. Runs on cheap hardware. When someone in Tokyo gets attacked, you're protected in 30 seconds. No fees. No experts needed. Just protection. One node's detection → everyone's protection.
- ai-security
- cybersecurity
- ids
- iot-security
Cryptographic Dataset Generation & Modelling Framework
Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, GitHub Action, LangChain/LlamaIndex/CrewAI integrations.
- agentic-ai
- ai-safety
- fastapi
- langchain
A Single Library Parser to extract meta information,static analysis and detect macros within the files.
- malware-analysis
- pdf-parsing
- pe-executable
- office-files