analyzing-browser-forensics-with-hindsight

# Analyzing Browser Forensics with Hindsight ## Overview Hindsight is an open-source browser forensics tool designed to parse artifacts from Google Chrome and other Chromium-based browsers (Microsoft Edge, Brave, Opera, Vivaldi). It extracts and correlates data from multiple browser database files to create a unified timeline of web activity. Hindsight can parse URLs, download history, cache records, bookmarks, autofill records, saved passwords, preferences, browser extensions, HTTP cookies, Local Storage (HTML5 cookies), login data, and session/tab information. The tool produces chronological timelines in multiple output formats (XLSX, JSON, SQLite) that enable investigators to reconstruct user web activity for incident response, insider threat investigations, and criminal cases. ## When to Use - When investigating security incidents that require analyzing browser forensics with hindsight - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques ## Prerequisites - Python 3.8+ with Hindsight installed (`pip install pyhindsight`) - Access to browser profile directories from forensic image - Browser profile data (not encrypted with OS-level encryption) - Timeline Explorer or spreadsheet application for analysis ## Browser Profile Locations | Browser | Windows Profile Path | |---------|---------------------| | Chrome | %LOCALAPPDATA%\Google\Chrome\User Data\Default\ | | Edge | %LOCALAPPDATA%\Microsoft\Edge\User Data\Default\ | | Brave | %LOCALAPPDATA%\BraveSoftware\Brave-Browser\User Data\Default\ | | Opera | %APPDATA%\Opera Software\Opera Stable\ | | Vivaldi | %LOCALAPPDATA%\Vivaldi\User Data\Default\ | | Chrome (macOS) | ~/Library/Application Support/Google/Chrome/Default/ | | Chrome (Linux) | ~/.config/google-chrome/Default/ | ## Key Artifact Files | File | Contents | |------|----------| | History | URL visits, downloads, keyword searches | | Cookies | HTTP cookies with domain, expiry, values | | Web Data | Autofill entries, saved credit cards | | Login Data | Saved usernames/passwords (encrypted) | | Bookmarks | JSON bookmark tree | | Preferences | Browser configuration and extensions | | Local Storage/ | HTML5 Local Storage per domain | | Session Storage/ | Session-specific storage per domain | | Network Action Predictor | Previously typed URLs | | Shortcuts | Omnibox shortcuts and predictions | | Top Sites | Frequently visited sites | ## Running Hindsight ### Command Line ```bash # Basic analysis of a Chrome profile hindsight.exe -i "C:\Evidence\Users\suspect\AppData\Local\Google\Chrome\User Data\Default" -o C:\Output\chrome_analysis # Specify browser type hindsight.exe -i "/path/to/profile" -o /output/analysis -b Chrome # JSON output format hindsight.exe -i "C:\Evidence\Chrome\Default" -o C:\Output\chrome --format jsonl # With cache parsing (slower but more complete) hindsight.exe -i "C:\Evidence\Chrome\Default" -o C:\Output\chrome --cache ``` ### Web UI ```bash # Start Hindsight web interface hindsight_gui.exe # Navigate to http://localhost:8080 # Upload or point to browser profile directory # Configure output format and analysis options # Generate and download report ``` ## Artifact Analysis Details ### URL History and Visits ```sql -- Chrome History database schema (key tables) -- urls table: id, url, title, visit_count, typed_count, last_visit_time -- visits table: id, url, visit_time, from_visit, transition, segment_id -- Timestamps are Chrome/WebKit format: microseconds since 1601-01-01 -- Convert: datetime((visit_time/1000000)-11644473600, 'unixepoch') ``` ### Download History ```sql -- downloads table: id, current_path, target_path, start_time, end_time, -- received_bytes, total_bytes, state, danger_type, interrupt_reason, -- url, referrer, tab_url, mime_type, original_mime_type ``` ### Cookie Analysis ```sql -- cookies table: creation_utc, host_key, name, value, encrypted_value, -- path, expires_utc, is_secure, is_httponly, last_access_utc, -- has_expires, is_persistent, priority, samesite ``` ## Python Analysis Script ```python import sqlite3 import os import json import sys from datetime import datetime, timedelta CHROME_EPOCH = datetime(1601, 1, 1) def chrome_time_to_datetime(chrome_ts: int): """Convert Chrome timestamp to datetime.""" if chrome_ts == 0: return None try: return CHROME_EPOCH + timedelta(microseconds=chrome_ts) except (OverflowError, OSError): return None def analyze_chrome_history(profile_path: str, output_dir: str) -> dict: """Analyze Chrome History database for forensic evidence.""" history_db = os.path.join(profile_path, "History") if not os.path.exists(history_db): return {"error": "History database not found"} os.makedirs(output_dir, exist_ok=True) conn = sqlite3.connect(f"file:{history_db}?mode=ro", uri=True) # URL visits with timestamps cursor = conn.cursor() cursor.execute(""" SELECT u.url, u.title, v.visit_time, u.visit_count, v.transition & 0xFF as transition_type FROM visits v JOIN urls u ON v.url = u.id ORDER BY v.visit_time DESC LIMIT 5000 """) visits = [{ "url": r[0], "title": r[1], "visit_time": str(chrome_time_to_datetime(r[2])), "total_visits": r[3], "transition": r[4] } for r in cursor.fetchall()] # Downloads cursor.execute(""" SELECT target_path, tab_url, start_time, end_time, received_bytes, total_bytes, mime_type, state FROM downloads ORDER BY start_time DESC LIMIT 1000 """) downloads = [{ "path": r[0], "source_url": r[1], "start_time": str(chrome_time_to_datetime(r[2])), "end_time": str(chrome_time_to_datetime(r[3])), "received_bytes": r[4], "total_bytes": r[5], "mime_type": r[6], "state": r[7] } for r in cursor.fetchall()] # Keyword searches cursor.execute(""" SELECT k.term, u.url, k.url_id FROM keyword_search_terms k JOIN urls u ON k.url_id = u.id ORDER BY u.last_visit_time DESC LIMIT 1000 """) searches = [{"term": r[0], "url": r[1]} for r in cursor.fetchall()] conn.close() report = { "analysis_timestamp": datetime.now().isoformat(), "profile_path": profile_path, "total_visits": len(visits), "total_downloads": len(downloads), "total_searches": len(searches), "visits": visits, "downloads": downloads, "searches": searches } report_path = os.path.join(output_dir, "browser_forensics.json") with open(report_path, "w") as f: json.dump(report, f, indent=2) return report def main(): if len(sys.argv) < 3: print("Usage: python process.py <chrome_profile_path> <output_dir>") sys.exit(1) analyze_chrome_history(sys.argv[1], sys.argv[2]) if __name__ == "__main__": main() ``` ## References - Hindsight GitHub: https://github.com/obsidianforensics/hindsight - Chrome Forensics Guide: https://allenace.medium.com/hindsight-chrome-forensics-made-simple-425db99fa5ed - Browser Forensics Tools: https://www.cyberforensicacademy.com/blog/browser-forensics-tools-how-to-extract-user-activity - Chromium Source (History): https://source.chromium.org/chromium/chromium/src/+/main:components/history/ ## Example Output ```text $ python hindsight.py -i /evidence/chrome-profile -o /analysis/hindsight_output Hindsight v2024.01 - Chrome/Chromium Browser Forensic Analysis ================================================================ Profile: /evidence/chrome-profile (Chrome 120.0.6099.130) OS: Windows 10 [+] Parsing History database... URL records: 12,456 Download records: 234 Search terms: 567 [+] Parsing Cookies database... Cookie records: 8,923 Encrypted cookies: 6,712 [+] Parsing Web Data (Autofill)... Autofill entries: 1,234 Credit card entries: 2 (encrypted) [+] Parsing Login Data... Saved credentials: 45 (encrypted) [+] Parsing Bookmarks... Bookmark entries: 189 --- Browsing History (Last 10 Entries) --- Timestamp (UTC) | URL | Title | Visit Count 2024-01-15 14:32:05.123 | https://mail.corporate.com/inbox | Corporate Mail | 45 2024-01-15 14:33:12.456 | https://drive.google.com/file/d/1aBcDe... | Q4_Financial_Report.xlsx | 1 2024-01-15 14:35:44.789 | https://mega.nz/folder/xYz123 | MEGA - Secure Cloud | 3 2024-01-15 14:36:01.234 | https://mega.nz/folder/xYz123#upload | MEGA - Upload | 8 2024-01-15 14:42:15.567 | https://pastebin.com/raw/kL9mN2pQ | Pastebin (raw) | 1 2024-01-15 15:01:33.890 | https://192.168.1.50:8443/admin | Admin Panel | 12 2024-01-15 15:15:22.111 | https://transfer.sh/upload | transfer.sh | 2 2024-01-15 15:30:45.222 | https://vpn-gateway.corporate.com | VPN Login | 5 2024-01-15 16:00:00.333 | https://whatismyipaddress.com | What Is My IP | 1 2024-01-15 16:05:12.444 | https://protonmail.com/inbox | ProtonMail | 3 --- Downloads (Suspicious) --- Timestamp (UTC) | Filename | URL Source | Size 2024-01-15 14:33:15.000 | Q4_Financial_Report.xlsm | https://phish-domain.com/docs/report | 245 KB 2024-01-15 14:34:02.000 | update_client.exe | https://cdn.evil-updates.com/client.exe | 1.2 MB --- Cookies (Session Tokens) --- Domain | Name | Expires | Secure | HttpOnly .corporate.com | SESSION_ID | 2024-01-16 14:32 | Yes | Yes .mega.nz | session | Session | Yes | Yes .protonmail.com | AUTH-TOKEN | 2024-02-15 00:00 | Yes | Yes Report saved to: /analysis/hindsight_output/Hindsight_Report.xlsx ```