dtag-dev-sec/tpotce

Features

• Honeypot Environments - Integrates large language models and diverse services to create realistic targets that trick attackers.
• Threat Intelligence Platforms - Manages a distributed network of sensors to collect and transmit attacker logs to a central hub.
• Threat Intelligence - Enables the contribution of captured attack data to community backends and global threat intelligence feeds.
• Analytics Dashboards - Transforms raw attack logs into interactive dashboards and geographic maps for behavioral visualization.
• Container Environment Orchestrators - Deploys diverse vulnerable services in isolated containers to simulate targets and capture attacker activity.
• Decoy Service Deployments - Deploys a collection of diverse services in a single environment to analyze network attack data across various ports.
• Distributed Deployment - Coordinates a network of remote sensors that relay captured intruder activity back to a central server.
• Remote Monitoring Transmission - Transmits captured attack data from distributed remote installations to a central hub for aggregated analysis.
• Attack Data Collection - Captures and persists network traffic and attacker logs to facilitate detailed security analysis.
• Cyber Threat Intelligence Maps - Visualizes captured network traffic and intruder behavior using centralized dashboards and geographic maps.
• Secure Sandboxing - Uses Docker containers to create isolated security sandboxes that simulate vulnerable services without risking the host system.
• Decoy Services - Deploys a collection of diverse decoy services to simulate vulnerable targets and capture network attack data.
• Centralized Logging Systems - Aggregates attack logs from multiple remote sensors into a centralized system for unified monitoring.
• Distributed Log Aggregation - Collects and synchronizes security event data from multiple remote sensors into a centralized hub for analysis.
• Sensor Network Coordination - Deploys and coordinates multiple remote sensors to collect threat intelligence across different network locations.
• Interactive Honeypots - Integrates large language models to power interactive simulations that act as realistic targets for attackers.
• Behavior Visualizations - Visualizes captured attack traffic through integrated dashboards and geographic maps to analyze adversary behavior.
• Data Persistence and Storage - Stores collected attack logs and artifacts with configurable retention and purging policies.
• Automated System Installers - Automates dependency installation, firewall configuration, and system setup across various Linux distributions.
• Communication Encryption - Protects data transit between remote collection nodes and the central server using SSL certificates.
• Device Fingerprinting - Extracts metadata and device identifiers from live traffic using passive network fingerprinting.
• Infrastructure Fingerprinters - Extracts network metadata and fingerprints from live traffic using passive fingerprinting engines to identify infrastructure.
• Open Source Intelligence Tools - Collects open source intelligence and utilizes encoding and decryption tools to investigate attacker behavior.
• Security Analysis Dashboards - Provides a centralized security analysis dashboard using the ELK stack to visualize attack patterns and geographic maps.
• Traffic Filtering Systems - Null-routes traffic from known mass scanners at the network level to reduce noise in threat intelligence.
• Honeypot Management - All-in-one honeypot appliance for rapid deployment.

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