Artifact Extraction
Deep parsing of Windows artifacts, browser histories, email stores, and system logs across multiple remote endpoints simultaneously.
Process massive datasets with unprecedented speed. FEX-LAB coordinates high-performance forensic agents across your network, delivering automated artifact extraction, indexing, and triage for modern lab environments.
Enterprise-Grade Forensic Engine
FEX-LAB leverages the field-proven FEX-CLI engine to deliver precise results at scale.
Deep parsing of Windows artifacts, browser histories, email stores, and system logs across multiple remote endpoints simultaneously.
Deploy processing agents on local hardware or remote servers to distribute the heavy lifting. Monitor CPU, RAM, and Disk space in real-time.
Standardize lab operations with reusable processing templates for triage, full forensic imaging, or specific keyword search sweeps.
Designed for secure lab environments. FEX-LAB functions entirely offline, keeping your evidence air-gapped and protected.
Automate known-file filtering with massive hash set support (MD5, SHA1, SHA256) to identify critical evidence faster.
Detailed logging and audit trails for every automated job. Maintains strict chain of custody for all automated processing steps.
Real-time monitoring of every agent, job, and storage path.
AGENT MANAGEMENT ONLINE
STORAGE CONFIGURATION UNC PATHS
The Jobs queue provides total oversight. Monitor queuing, running, and completed tasks across all agents. Filter by status, search for specific cases, and manage task priority with simple UI controls.
NAS / SAN / DAS Storage
Central Controller
Operating System
Windows 10, Windows 11, Windows Server 2019, or Windows Server 2022.
Connectivity
Supports closed network / air-gapped lab deployments. Requires UNC path access for shared evidence storage.
Processing Engine
FEX-LAB leverages the latest FEX-CLI engine (v1.5+) for core artifact extraction.
Join forensic professionals worldwide who trust GetData products for their most critical casework. Start processing evidence at scale today.