This repository is a documentation-focused resource providing security guidelines for SaaS startups organized by company growth phases. It contains no executable code or data processing pipelines, but rather offers educational content in Markdown format covering topics from basic security hygiene (password management, encryption) to advanced compliance and incident response strategies. The material is structured as a practical guide referencing real-world scenarios and external resources, with accompanying images illustrating key concepts. While not a software project, it functions as a reusable knowledge base that engineers can reference when implementing security practices in early-stage startups.
OpenUBA is a full-stack User and Entity Behavior Analytics (UEBA) platform for security anomaly detection, investigation, and response. It provides a complete lifecycle for ML models (install, train, infer, version, share) via a pluggable registry supporting OpenUBA Hub, GitHub, HuggingFace, and local filesystem. The platform includes a rule engine with a visual DAG-based builder (ReactFlow), case management, real-time dashboards, multi-backend visualization (matplotlib, plotly, bokeh, etc.), and an LLM-powered assistant. The backend is built on FastAPI with PostgreSQL, SQLAlchemy, JWT/RBAC authentication, and optional Spark/Elasticsearch integrations. The frontend uses Next.js 14 (App Router), Apollo Client (GraphQL), shadcn/ui, and Recharts. A Python SDK enables programmatic access to all features. The system runs on Kubernetes with a Kopf operator managing custom resources (UBATraining, UBAInference, UBAWorkspace, UBAPipeline) for containerized model execution in isolated Docker images per ML framework (sklearn, PyTorch, TensorFlow, NetworkX). While primarily an application, it includes research-oriented components like experiment tracking, feature store, and Jupyter notebook workspaces, making it a hybrid tool for both security operations and data science workflows.
This repository is the infrastructure-as-code backbone for Security Onion, a free and open Linux distribution for threat hunting, enterprise security monitoring, and log management. It contains over 1,700 files of SaltStack states, Jinja templates, shell scripts, and Python modules that orchestrate the deployment, configuration, and lifecycle management of a distributed grid of security monitoring nodes. The code manages the entire Elastic Stack (Elasticsearch, Logstash, Kibana), network sensors (Zeek, Suricata), file analysis (Strelka), endpoint monitoring (Elastic Fleet/Agent), authentication (Kratos/Hydra), messaging (Kafka/Redis), metrics (Telegraf/InfluxDB), and the Security Onion Console (SOC) web UI. It is not a standalone application but a deployment and configuration system that transforms a bare OS into a fully operational security operations center. The repository is actively maintained with frequent commits, versioned releases, and a large community. Key architecture patterns include role-based state inclusion via `allowed_states`, consistent Docker container management, Jinja-based configuration merging, and event-driven reactors for rule pushes. Notable reusable components include a self-contained threat intelligence analyzer framework, a YAML manipulation CLI tool, and polling-based beacons that avoid inotify leaks.
The AIL (Advanced Information Leak) framework is a threat intelligence platform designed for collecting, processing, analyzing, and correlating digital artifacts from various sources including web crawlers, darknet content, forums, chats, and file submissions. It features a modular architecture with a Flask-based web interface, REST API, and background processing workers that communicate via Redis queues. The system extracts entities and relationships from raw data, stores them in Kvrocks (with Redis for caching), provides correlation analysis, and exports processed information to threat intelligence platforms like MISP and TheHive. Key components include extensible processing modules, a flexible object modeling system, and robust queue management for distributed processing.
This repository is a large collection of standalone Python scripts designed for the Termux environment on Android. It is marketed as an educational cybersecurity toolkit but contains functional phishing pages, credential harvesters, location trackers, camera/mic capture scripts, and a trojan for data exfiltration. The codebase also includes some legitimate utilities such as a password manager, file converter, network scanner, and backup tool. The architecture is highly fragmented: each script is self-contained with its own dependency auto-installation, Flask server, and cloudflared tunnel for public exposure. There is no shared module structure, and the code is heavily duplicated across English and Greek translations. The overall quality is low due to copy-paste patterns, hardcoded secrets, suppressed error logging, lack of testing, and reliance on external services like cloudflared. The repository poses significant legal and ethical risks due to its phishing and surveillance capabilities.