USArmyResearchLab/Dshell
Dshell
Dshell ist ein Framework für Netzwerkforensik und Traffic-Prozessor, das für Deep Packet Inspection (DPI) von IPv4- und IPv6-Traffic entwickelt wurde. Es fungiert als erweiterbares forensisches Plugin-System, das Netzwerkdaten erfasst, inspiziert und analysiert, um Sicherheitsanomalien zu identifizieren und Kommunikationsströme zu rekonstruieren.
Das System nutzt eine Plugin-basierte Processing-Engine, die die Entwicklung benutzerdefinierter Plugins und das Chaining von Plugins ermöglicht. Diese modulare Architektur erlaubt die Erstellung spezialisierter Analyse-Pipelines, in denen Netzwerkdaten eine Sequenz von Verarbeitungseinheiten für eine mehrstufige Analyse durchlaufen.
Das Framework deckt ein breites Spektrum forensischer Fähigkeiten ab, einschließlich Echtzeit-Traffic-Monitoring, Reassembly von Netzwerkströmen und IP-Geolocation-Mapping via externer Referenzdatenbanken. Um große Datenmengen zu bewältigen, nutzt die Engine parallele Datenverarbeitung durch Verteilung von Aufgaben auf mehrere Systemprozesse. Verarbeitete Analyseergebnisse können über spezialisierte Output-Handler in verschiedene strukturierte Dateiformate exportiert werden.
Features
- Packet Analysis Tools - Provides a utility for deep packet inspection and analysis of captured IPv4 and IPv6 traffic.
- Forensic Pipeline Extensions - Implements a modular framework for building and chaining custom forensic analysis plugins.
- Live Capture Libraries - Integrates directly with network interfaces to capture and process packets in real time.
- Multi-Stage Analysis Pipelines - Utilizes a sequence of modular processing stages to transform raw network packets into structural insights.
- Plugin Development Frameworks - Offers a structured framework for developing custom analysis modules to extend the processing engine.
- Stream Reassembly Processes - Provides the capability to reconstruct fragmented network traffic into coherent data streams for forensic examination.
- Live Traffic Analysis - Enables real-time processing of network packets by running analysis plugins directly on a network interface.
- Network Traffic Processors - Processes network traffic flows programmatically to reassemble streams and export forensic data.
- Packet Capture Analysis - Scans and processes stored packet capture files to identify security anomalies and patterns.
- TCP Stream Reassembly - Reconstructs fragmented network traffic into coherent bidirectional conversations by tracking sequence numbers.
- Forensic Frameworks - Provides a modular architecture designed for digital forensic analysis and network traffic ingestion.
- Pipeline Plugins - Implements a modular processing engine where network data is passed through a sequence of specialized pipeline plugins.
- Packet Inspection - Performs deep analysis of network packets and protocol headers using targeted inspection plugins.
- Network Traffic Monitors - Monitors live network traffic directly from an interface to detect security patterns as they occur.
- IP Geolocation - Maps IP addresses to physical locations and country codes to enrich traffic analysis metadata.
- Parallel Processing - Distributes packet capture and analysis tasks across multiple system processes to increase overall throughput.
- IP Geographic Mapping - Resolves network addresses to geographic locations by querying external IP mapping databases.
- Packet Processing Frameworks - Provides a programmable framework for building and chaining custom packet processing plugins.
- Concurrent Packet Processing - Handles high volumes of network data through concurrent processing across multiple system execution threads.
- Multi-Process Task Distribution - Distributes packet capture and analysis workloads across multiple system processes to increase throughput.
- Network Forensics - Network forensic analysis framework.
- Automation And Infrastructure - Extensible framework for rapid network forensic analysis and packet dissection.
- Network Security - Extensible framework for network forensic packet analysis.
- Protocol Analyzers - Framework for network forensic analysis.
