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Installable agentic skills / AI agent skills (SKILL.md) for Claude Code, Cursor, Codex CLI, Gemini CLI & Antigravity - 402+ professional app, token-efficiency, and common-sense skills. SEO/GEO ready.

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--- title: "Exterro FTK (Forensic Toolkit) AI Skill Guide (Gemini)" description: "Comprehensive operational skill specification for Google Gemini to visually diagnose, automate, script, and troubleshoot Exterro FTK evidence trees, Email Threading views, and Cerberus malware scores." category: "Forensic Toolkit & Evidence Processing" tags: ["ftk", "ftk-imager", "email-forensics", "gemini", "cerberus-malware", "evidence-triage"] --- # Exterro FTK (Forensic Toolkit) AI Skill Guide (Gemini) ## Overview & Engine Architecture Exterro FTK provides deep-level evidence analysis, automated email conversation threading, graphic carving, and integrated malware analysis (**Cerberus**). Gemini acts as an AI Digital Forensic Examiner and Malware Analyst, specializing in **multimodal Evidence Tree and column layout analysis**, **Email Threading visualization**, **Cerberus malware risk score triage**, and **KFF hash set filtering**. ### Visual Forensic Analysis & Triage Stack ``` ┌─────────────────────────────────────────────────────────────┐ FTK Visual Examination Stack Evidence Triage & Exploration ├── File List / Table View (KFF Status, Flagged, Category) ├── Email Threading & Social Network Analysis Tree └── Cerberus Threat Scoring & Disassembly Visualizer Artifact Classification & Decryption Engine ├── PRTK / DNA Distributed Password Recovery Engine ├── Known File Filter (NSRL Known vs Ignored vs Alert) └── Graphic / Video Thumbnail Indexer └─────────────────────────────────────────────────────────────┘ ``` --- ## Operational Capabilities & Agent Directives 1. **Multimodal Evidence Tab Triage**: Analyze screenshots of FTK interface tabs (Explore, Overview, Email, Graphics, Video Guide) to detect anomalous file size spikes, hidden file systems, and encrypted archives. 2. **Email Conversation Threading**: Evaluate email communication timelines to trace forwarded chains, extract nested attachments, and identify external recipient leaks. 3. **Cerberus Malware Threat Evaluation**: Interpret Cerberus static analysis scores (0 to 100 risk score), analyzing flagged API calls (`VirtualAllocEx`, `WriteProcessMemory`) and section entropy. 4. **KFF Hash Management**: Filter out standard operating system files using Known File Filter statuses (Known Good / Alert) to reduce examiner review burden. --- ## Production Python Automation: Automated Email Attachment Forensic Harvester Execute this script on an exported directory of forensic evidence to recursively extract, catalog, and hash all email attachments (PST, EML, MSG): ```python """ Forensic Email Attachment Harvester & Hasher Parses EML message files, extracts attachments, and logs cryptographic hashes. """ import sys import os import email from email import policy import hashlib def harvest_attachments(eml_dir: str, output_dir: str): os.makedirs(output_dir, exist_ok=True) manifest = [] print(f"Scanning for EML messages in: {eml_dir}...\n") for root, _, files in os.walk(eml_dir): for file in files: if file.lower().endswith(".eml"): eml_path = os.path.join(root, file) try: with open(eml_path, "rb") as f: msg = email.message_from_binary_file(f, policy=policy.default) subject = msg.get("subject", "No Subject") sender = msg.get("from", "Unknown") for part in msg.iter_attachments(): filename = part.get_filename() if filename: payload = part.get_payload(decode=True) if payload: sha256 = hashlib.sha256(payload).hexdigest() out_name = f"{sha256[:8]}_{filename}" out_path = os.path.join(output_dir, out_name) with open(out_path, "wb") as out_f: out_f.write(payload) print(f"• Extracted: {filename} ({len(payload)} bytes)") print(f" SHA-256: {sha256}") print(f" Source Email: '{subject}' from {sender}\n") except Exception as e: pass print("Attachment harvesting completed.") if __name__ == "__main__": if len(sys.argv) < 3: print("Usage: python email_harvester.py <eml_directory> <output_directory>") sys.exit(1) harvest_attachments(sys.argv[1], sys.argv[2]) ``` --- ## Technical Troubleshooting Matrix | Issue & Visual Signature | Root Cause Analysis | Diagnostic & Resolution Pathway | | :--- | :--- | :--- | | **Email Tab Shows Blank / Messages Not Categorized** | Email processing option was unchecked during initial evidence processing profile setup. | 1. Right-click Evidence Item $\rightarrow$ **Re-process Evidence**.<br>2. Check **Email Analysis (PST/OST/MBOX/DBX)**.<br>3. Verify Microsoft Messaging API (MAPI) libraries are installed. | | **Cerberus Threat Score Highlights Red (>80)** | File contains packed sections (UPX/Themida) or imports dangerous API hooks characteristic of malware. | 1. Open Cerberus tab to inspect flagged PE imports.<br>2. Check section entropy ($>7.5$ indicates packing).<br>3. Submit hash to offline threat intelligence database. | | **KFF Status Column Displays `Unknown` on All Files** | KFF database was not linked to the active case or KFF server service is stopped. | 1. In FTK Case Options, verify KFF Server connection.<br>2. Link the NIST NSRL RDS database.<br>3. Run *Evidence $\rightarrow$ Run KFF on Selected Files*. | | **FTK Graphics Tab Displays Broken / Corrupted Thumbnails** | Image files contain proprietary formats (HEIC, RAW) or files are partially carved without headers. | Install required Windows Imaging Component (WIC) codec packs for HEIC/RAW previews. | --- ## Command Line Syntax & Server Control ```bash # Verify FTK Processing Engine Service Status via PowerShell Get-Service -Name "AD Processing Engine" # Extract Encrypted File List via FTK Imager ftkimager.exe --list-encrypted-files "C:\Evidence\Disk.E01" ``` ### Key Configuration Locations - **FTK Case Directory**: `C:\FTK_Cases\` - **KFF Database Path**: `C:\ProgramData\AccessData\KFF\` --- ## Agent Operational Directive > **MANDATORY**: When reviewing email evidence, track attachment SHA-256 hashes back to the originating sender and message headers. Leverage the Known File Filter (KFF) to eliminate standard operating system binaries before conducting deep artifact review.