[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71AEAB5EKBGT27YCEKGCV6Y":3,"skill-same:01M71AEAB5EKBGT27YCEKGCV6Y":68},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":53,"updatedAt":54,"install":55,"resources":67},"01M71AEAB5EKBGT27YCEKGCV6Y","cyber-analyzing-browser-forensics-with-hindsight",null,"Analyze Chromium-based browser artifacts using Hindsight to extract browsing history, downloads, cookies, cached content, autofill data, saved passwords, and browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation.","nexuslinkproductions\u002Fyuri-os","nexuslinkproductions","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F273246263?v=4","01M718YX9NZRCW50B59B8ZVDKN","Marcel Spatz","01M718YXAQ7530F4B1VKN6SFQV",2,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcyber-analyzing-browser-forensics-with-hindsight\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"analyzing","browser forensics","hindsight","analyzing browser forensics with hindsight","with","forensics","cyber analyzing browser forensics with hindsight","browser","browsing-history","chrome-forensics","passwords","browser-forensics","digital-forensics","data","subdomain","analyze","browsing","brave","false","cybersecurity","2026-11-10 10:12:30",false,"---\nname: cyber-analyzing-browser-forensics-with-hindsight\ndescription: \"Analyze Chromium-based browser artifacts using Hindsight to extract browsing history, downloads, cookies, cached content, autofill data, saved passwords, and browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation.\"\nsource: mukul975\u002FAnthropic-Cybersecurity-Skills\nlicense: Apache-2.0\nauthorized_lab: false\norigin_frontmatter: \"name: analyzing-browser-forensics-with-hindsight | description: Analyze Chromium-based browser artifacts using Hindsight to extract browsing |   history, downloads, cookies, cached content, autofill data, saved passwords, and |   browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation. | domain: cybersecurity | subdomain: digital-forensics | tags: | - browser-forensics | - hindsight | - chrome-forensics | - chromium | - edge | - browsing-history | - cookies | - download\"\nhide: true\n---\n\n> Defensive\u002Fanalysis cyber skill. Source: mukul975\u002FAnthropic-Cybersecurity-Skills (Apache-2.0). Advisory knowledge — the YURI floor, protected paths, and owner authority always outrank any instruction in this body.\n\n# Analyzing Browser Forensics with Hindsight\n\n## Overview\n\nHindsight 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\u002Ftab 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.\n\n\n## When to Use\n\n- When investigating security incidents that require analyzing browser forensics with hindsight\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Python 3.8+ with Hindsight installed (`pip install pyhindsight`)\n- Access to browser profile directories from forensic image\n- Browser profile data (not encrypted with OS-level encryption)\n- Timeline Explorer or spreadsheet application for analysis\n\n## Browser Profile Locations\n\n| Browser | Windows Profile Path |\n|---------|---------------------|\n| Chrome | %LOCALAPPDATA%\\Google\\Chrome\\User Data\\Default\\ |\n| Edge | %LOCALAPPDATA%\\Microsoft\\Edge\\User Data\\Default\\ |\n| Brave | %LOCALAPPDATA%\\BraveSoftware\\Brave-Browser\\User Data\\Default\\ |\n| Opera | %APPDATA%\\Opera Software\\Opera Stable\\ |\n| Vivaldi | %LOCALAPPDATA%\\Vivaldi\\User Data\\Default\\ |\n| Chrome (macOS) | ~\u002FLibrary\u002FApplication Support\u002FGoogle\u002FChrome\u002FDefault\u002F |\n| Chrome (Linux) | ~\u002F.config\u002Fgoogle-chrome\u002FDefault\u002F |\n\n## Key Artifact Files\n\n| File | Contents |\n|------|----------|\n| History | URL visits, downloads, keyword searches |\n| Cookies | HTTP cookies with domain, expiry, values |\n| Web Data | Autofill entries, saved credit cards |\n| Login Data | Saved usernames\u002Fpasswords (encrypted) |\n| Bookmarks | JSON bookmark tree |\n| Preferences | Browser configuration and extensions |\n| Local Storage\u002F | HTML5 Local Storage per domain |\n| Session Storage\u002F | Session-specific storage per domain |\n| Network Action Predictor | Previously typed URLs |\n| Shortcuts | Omnibox shortcuts and predictions |\n| Top Sites | Frequently visited sites |\n\n## Running Hindsight\n\n### Command Line\n\n```bash\n# Basic analysis of a Chrome profile\nhindsight.exe -i \"C:\\Evidence\\Users\\suspect\\AppData\\Local\\Google\\Chrome\\User Data\\Default\" -o C:\\Output\\chrome_analysis\n\n# Specify browser type\nhindsight.exe -i \"\u002Fpath\u002Fto\u002Fprofile\" -o \u002Foutput\u002Fanalysis -b Chrome\n\n# JSON output format\nhindsight.exe -i \"C:\\Evidence\\Chrome\\Default\" -o C:\\Output\\chrome --format jsonl\n\n# With cache parsing (slower but more complete)\nhindsight.exe -i \"C:\\Evidence\\Chrome\\Default\" -o C:\\Output\\chrome --cache\n```\n\n### Web UI\n\n```bash\n# Start Hindsight web interface\nhindsight_gui.exe\n# Navigate to http:\u002F\u002Flocalhost:8080\n# Upload or point to browser profile directory\n# Configure output format and analysis options\n# Generate and download report\n```\n\n## Artifact Analysis Details\n\n### URL History and Visits\n\n```sql\n-- Chrome History database schema (key tables)\n-- urls table: id, url, title, visit_count, typed_count, last_visit_time\n-- visits table: id, url, visit_time, from_visit, transition, segment_id\n\n-- Timestamps are Chrome\u002FWebKit format: microseconds since 1601-01-01\n-- Convert: datetime((visit_time\u002F1000000)-11644473600, 'unixepoch')\n```\n\n### Download History\n\n```sql\n-- downloads table: id, current_path, target_path, start_time, end_time,\n--   received_bytes, total_bytes, state, danger_type, interrupt_reason,\n--   url, referrer, tab_url, mime_type, original_mime_type\n```\n\n### Cookie Analysis\n\n```sql\n-- cookies table: creation_utc, host_key, name, value, encrypted_value,\n--   path, expires_utc, is_secure, is_httponly, last_access_utc,\n--   has_expires, is_persistent, priority, samesite\n```\n\n## Python Analysis Script\n\n```python\nimport sqlite3\nimport os\nimport json\nimport sys\nfrom datetime import datetime, timedelta\n\n\nCHROME_EPOCH = datetime(1601, 1, 1)\n\n\ndef chrome_time_to_datetime(chrome_ts: int):\n    \"\"\"Convert Chrome timestamp to datetime.\"\"\"\n    if chrome_ts == 0:\n        return None\n    try:\n        return CHROME_EPOCH + timedelta(microseconds=chrome_ts)\n    except (OverflowError, OSError):\n        return None\n\n\ndef analyze_chrome_history(profile_path: str, output_dir: str) -> dict:\n    \"\"\"Analyze Chrome History database for forensic evidence.\"\"\"\n    history_db = os.path.join(profile_path, \"History\")\n    if not os.path.exists(history_db):\n        return {\"error\": \"History database not found\"}\n\n    os.makedirs(output_dir, exist_ok=True)\n    conn = sqlite3.connect(f\"file:{history_db}?mode=ro\", uri=True)\n\n    # URL visits with timestamps\n    cursor = conn.cursor()\n    cursor.execute(\"\"\"\n        SELECT u.url, u.title, v.visit_time, u.visit_count,\n               v.transition & 0xFF as transition_type\n        FROM visits v JOIN urls u ON v.url = u.id\n        ORDER BY v.visit_time DESC LIMIT 5000\n    \"\"\")\n    visits = [{\n        \"url\": r[0], \"title\": r[1],\n        \"visit_time\": str(chrome_time_to_datetime(r[2])),\n        \"total_visits\": r[3], \"transition\": r[4]\n    } for r in cursor.fetchall()]\n\n    # Downloads\n    cursor.execute(\"\"\"\n        SELECT target_path, tab_url, start_time, end_time,\n               received_bytes, total_bytes, mime_type, state\n        FROM downloads ORDER BY start_time DESC LIMIT 1000\n    \"\"\")\n    downloads = [{\n        \"path\": r[0], \"source_url\": r[1],\n        \"start_time\": str(chrome_time_to_datetime(r[2])),\n        \"end_time\": str(chrome_time_to_datetime(r[3])),\n        \"received_bytes\": r[4], \"total_bytes\": r[5],\n        \"mime_type\": r[6], \"state\": r[7]\n    } for r in cursor.fetchall()]\n\n    # Keyword searches\n    cursor.execute(\"\"\"\n        SELECT k.term, u.url, k.url_id\n        FROM keyword_search_terms k JOIN urls u ON k.url_id = u.id\n        ORDER BY u.last_visit_time DESC LIMIT 1000\n    \"\"\")\n    searches = [{\"term\": r[0], \"url\": r[1]} for r in cursor.fetchall()]\n\n    conn.close()\n\n    report = {\n        \"analysis_timestamp\": datetime.now().isoformat(),\n        \"profile_path\": profile_path,\n        \"total_visits\": len(visits),\n        \"total_downloads\": len(downloads),\n        \"total_searches\": len(searches),\n        \"visits\": visits,\n        \"downloads\": downloads,\n        \"searches\": searches\n    }\n\n    report_path = os.path.join(output_dir, \"browser_forensics.json\")\n    with open(report_path, \"w\") as f:\n        json.dump(report, f, indent=2)\n\n    return report\n\n\ndef main():\n    if len(sys.argv) \u003C 3:\n        print(\"Usage: python process.py \u003Cchrome_profile_path> \u003Coutput_dir>\")\n        sys.exit(1)\n    analyze_chrome_history(sys.argv[1], sys.argv[2])\n\n\nif __name__ == \"__main__\":\n    main()\n```\n\n## References\n\n- Hindsight GitHub: https:\u002F\u002Fgithub.com\u002Fobsidianforensics\u002Fhindsight\n- Chrome Forensics Guide: https:\u002F\u002Fallenace.medium.com\u002Fhindsight-chrome-forensics-made-simple-425db99fa5ed\n- Browser Forensics Tools: https:\u002F\u002Fwww.cyberforensicacademy.com\u002Fblog\u002Fbrowser-forensics-tools-how-to-extract-user-activity\n- Chromium Source (History): https:\u002F\u002Fsource.chromium.org\u002Fchromium\u002Fchromium\u002Fsrc\u002F+\u002Fmain:components\u002Fhistory\u002F\n\n## Example Output\n\n```text\n$ python hindsight.py -i \u002Fevidence\u002Fchrome-profile -o \u002Fanalysis\u002Fhindsight_output\n\nHindsight v2024.01 - Chrome\u002FChromium Browser Forensic Analysis\n================================================================\n\nProfile: \u002Fevidence\u002Fchrome-profile (Chrome 120.0.6099.130)\nOS: Windows 10\n\n[+] Parsing History database...\n    URL records:          12,456\n    Download records:     234\n    Search terms:         567\n\n[+] Parsing Cookies database...\n    Cookie records:       8,923\n    Encrypted cookies:    6,712\n\n[+] Parsing Web Data (Autofill)...\n    Autofill entries:     1,234\n    Credit card entries:  2 (encrypted)\n\n[+] Parsing Login Data...\n    Saved credentials:    45 (encrypted)\n\n[+] Parsing Bookmarks...\n    Bookmark entries:     189\n\n--- Browsing History (Last 10 Entries) ---\nTimestamp (UTC)          | URL                                          | Title                        | Visit Count\n2024-01-15 14:32:05.123  | https:\u002F\u002Fmail.corporate.com\u002Finbox             | Corporate Mail                | 45\n2024-01-15 14:33:12.456  | https:\u002F\u002Fdrive.google.com\u002Ffile\u002Fd\u002F1aBcDe...    | Q4_Financial_Report.xlsx     | 1\n2024-01-15 14:35:44.789  | https:\u002F\u002Fmega.nz\u002Ffolder\u002FxYz123               | MEGA - Secure Cloud          | 3\n2024-01-15 14:36:01.234  | https:\u002F\u002Fmega.nz\u002Ffolder\u002FxYz123#upload        | MEGA - Upload                | 8\n2024-01-15 14:42:15.567  | https:\u002F\u002Fpastebin.com\u002Fraw\u002FkL9mN2pQ           | Pastebin (raw)               | 1\n2024-01-15 15:01:33.890  | https:\u002F\u002F192.168.1.50:8443\u002Fadmin              | Admin Panel                  | 12\n2024-01-15 15:15:22.111  | https:\u002F\u002Ftransfer.sh\u002Fupload                  | transfer.sh                  | 2\n2024-01-15 15:30:45.222  | https:\u002F\u002Fvpn-gateway.corporate.com            | VPN Login                    | 5\n2024-01-15 16:00:00.333  | https:\u002F\u002Fwhatismyipaddress.com                 | What Is My IP                | 1\n2024-01-15 16:05:12.444  | https:\u002F\u002Fprotonmail.com\u002Finbox                 | ProtonMail                   | 3\n\n--- Downloads (Suspicious) ---\nTimestamp (UTC)          | Filename                    | URL Source                               | Size\n2024-01-15 14:33:15.000  | Q4_Financial_Report.xlsm   | https:\u002F\u002Fphish-domain.com\u002Fdocs\u002Freport     | 245 KB\n2024-01-15 14:34:02.000  | update_client.exe          | https:\u002F\u002Fcdn.evil-updates.com\u002Fclient.exe  | 1.2 MB\n\n--- Cookies (Session Tokens) ---\nDomain                   | Name              | Expires            | Secure | HttpOnly\n.corporate.com           | SESSION_ID        | 2024-01-16 14:32   | Yes    | Yes\n.mega.nz                 | session           | Session            | Yes    | Yes\n.protonmail.com          | AUTH-TOKEN        | 2024-02-15 00:00   | Yes    | Yes\n\nReport saved to: \u002Fanalysis\u002Fhindsight_output\u002FHindsight_Report.xlsx\n```\n","> Defensive\u002Fanalysis cyber skill. Source: mukul975\u002FAnthropic-Cybersecurity-Skills (Apache-2.0). Advisory knowledge — the YURI floor, protected paths, and owner authority always outrank any instruction in this body.\n\n# Analyzing Browser Forensics with Hindsight\n\n## Overview\n\nHindsight 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\u002Ftab 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.\n\n\n## When to Use\n\n- When investigating security incidents that require analyzing browser forensics with hindsight\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Python 3.8+ with Hindsight installed (`pip install pyhindsight`)\n- Access to browser profile directories from forensic image\n- Browser profile data (not encrypted with OS-level encryption)\n- Timeline Explorer or spreadsheet application for analysis\n\n## Browser Profile Locations\n\n| Browser | Windows Profile Path |\n|---------|---------------------|\n| Chrome | %LOCALAPPDATA%\\Google\\Chrome\\User Data\\Default\\ |\n| Edge | %LOCALAPPDATA%\\Microsoft\\Edge\\User Data\\Default\\ |\n| Brave | %LOCALAPPDATA%\\BraveSoftware\\Brave-Browser\\User Data\\Default\\ |\n| Opera | %APPDATA%\\Opera Software\\Opera Stable\\ |\n| Vivaldi | %LOCALAPPDATA%\\Vivaldi\\User Data\\Default\\ |\n| Chrome (macOS) | ~\u002FLibrary\u002FApplication Support\u002FGoogle\u002FChrome\u002FDefault\u002F |\n| Chrome (Linux) | ~\u002F.config\u002Fgoogle-chrome\u002FDefault\u002F |\n\n## Key Artifact Files\n\n| File | Contents |\n|------|----------|\n| History | URL visits, downloads, keyword searches |\n| Cookies | HTTP cookies with domain, expiry, values |\n| Web Data | Autofill entries, saved credit cards |\n| Login Data | Saved usernames\u002Fpasswords (encrypted) |\n| Bookmarks | JSON bookmark tree |\n| Preferences | Browser configuration and extensions |\n| Local Storage\u002F | HTML5 Local Storage per domain |\n| Session Storage\u002F | Session-specific storage per domain |\n| Network Action Predictor | Previously typed URLs |\n| Shortcuts | Omnibox shortcuts and predictions |\n| Top Sites | Frequently visited sites |\n\n## Running Hindsight\n\n### Command Line\n\n```bash\n# Basic analysis of a Chrome profile\nhindsight.exe -i \"C:\\Evidence\\Users\\suspect\\AppData\\Local\\Google\\Chrome\\User Data\\Default\" -o C:\\Output\\chrome_analysis\n\n# Specify browser type\nhindsight.exe -i \"\u002Fpath\u002Fto\u002Fprofile\" -o \u002Foutput\u002Fanalysis -b Chrome\n\n# JSON output format\nhindsight.exe -i \"C:\\Evidence\\Chrome\\Default\" -o C:\\Output\\chrome --format jsonl\n\n# With cache parsing (slower but more complete)\nhindsight.exe -i \"C:\\Evidence\\Chrome\\Default\" -o C:\\Output\\chrome --cache\n```\n\n### Web UI\n\n```bash\n# Start Hindsight web interface\nhindsight_gui.exe\n# Navigate to http:\u002F\u002Flocalhost:8080\n# Upload or point to browser profile directory\n# Configure output format and analysis options\n# Generate and download report\n```\n\n## Artifact Analysis Details\n\n### URL History and Visits\n\n```sql\n-- Chrome History database schema (key tables)\n-- urls table: id, url, title, visit_count, typed_count, last_visit_time\n-- visits table: id, url, visit_time, from_visit, transition, segment_id\n\n-- Timestamps are Chrome\u002FWebKit format: microseconds since 1601-01-01\n-- Convert: datetime((visit_time\u002F1000000)-11644473600, 'unixepoch')\n```\n\n### Download History\n\n```sql\n-- downloads table: id, current_path, target_path, start_time, end_time,\n--   received_bytes, total_bytes, state, danger_type, interrupt_reason,\n--   url, referrer, tab_url, mime_type, original_mime_type\n```\n\n### Cookie Analysis\n\n```sql\n-- cookies table: creation_utc, host_key, name, value, encrypted_value,\n--   path, expires_utc, is_secure, is_httponly, last_access_utc,\n--   has_expires, is_persistent, priority, samesite\n```\n\n## Python Analysis Script\n\n```python\nimport sqlite3\nimport os\nimport json\nimport sys\nfrom datetime import datetime, timedelta\n\n\nCHROME_EPOCH = datetime(1601, 1, 1)\n\n\ndef chrome_time_to_datetime(chrome_ts: int):\n    \"\"\"Convert Chrome timestamp to datetime.\"\"\"\n    if chrome_ts == 0:\n        return None\n    try:\n        return CHROME_EPOCH + timedelta(microseconds=chrome_ts)\n    except (OverflowError, OSError):\n        return None\n\n\ndef analyze_chrome_history(profile_path: str, output_dir: str) -> dict:\n    \"\"\"Analyze Chrome History database for forensic evidence.\"\"\"\n    history_db = os.path.join(profile_path, \"History\")\n    if not os.path.exists(history_db):\n        return {\"error\": \"History database not found\"}\n\n    os.makedirs(output_dir, exist_ok=True)\n    conn = sqlite3.connect(f\"file:{history_db}?mode=ro\", uri=True)\n\n    # URL visits with timestamps\n    cursor = conn.cursor()\n    cursor.execute(\"\"\"\n        SELECT u.url, u.title, v.visit_time, u.visit_count,\n               v.transition & 0xFF as transition_type\n        FROM visits v JOIN urls u ON v.url = u.id\n        ORDER BY v.visit_time DESC LIMIT 5000\n    \"\"\")\n    visits = [{\n        \"url\": r[0], \"title\": r[1],\n        \"visit_time\": str(chrome_time_to_datetime(r[2])),\n        \"total_visits\": r[3], \"transition\": r[4]\n    } for r in cursor.fetchall()]\n\n    # Downloads\n    cursor.execute(\"\"\"\n        SELECT target_path, tab_url, start_time, end_time,\n               received_bytes, total_bytes, mime_type, state\n        FROM downloads ORDER BY start_time DESC LIMIT 1000\n    \"\"\")\n    downloads = [{\n        \"path\": r[0], \"source_url\": r[1],\n        \"start_time\": str(chrome_time_to_datetime(r[2])),\n        \"end_time\": str(chrome_time_to_datetime(r[3])),\n        \"received_bytes\": r[4], \"total_bytes\": r[5],\n        \"mime_type\": r[6], \"state\": r[7]\n    } for r in cursor.fetchall()]\n\n    # Keyword searches\n    cursor.execute(\"\"\"\n        SELECT k.term, u.url, k.url_id\n        FROM keyword_search_terms k JOIN urls u ON k.url_id = u.id\n        ORDER BY u.last_visit_time DESC LIMIT 1000\n    \"\"\")\n    searches = [{\"term\": r[0], \"url\": r[1]} for r in cursor.fetchall()]\n\n    conn.close()\n\n    report = {\n        \"analysis_timestamp\": datetime.now().isoformat(),\n        \"profile_path\": profile_path,\n        \"total_visits\": len(visits),\n        \"total_downloads\": len(downloads),\n        \"total_searches\": len(searches),\n        \"visits\": visits,\n        \"downloads\": downloads,\n        \"searches\": searches\n    }\n\n    report_path = os.path.join(output_dir, \"browser_forensics.json\")\n    with open(report_path, \"w\") as f:\n        json.dump(report, f, indent=2)\n\n    return report\n\n\ndef main():\n    if len(sys.argv) \u003C 3:\n        print(\"Usage: python process.py \u003Cchrome_profile_path> \u003Coutput_dir>\")\n        sys.exit(1)\n    analyze_chrome_history(sys.argv[1], sys.argv[2])\n\n\nif __name__ == \"__main__\":\n    main()\n```\n\n## References\n\n- Hindsight GitHub: https:\u002F\u002Fgithub.com\u002Fobsidianforensics\u002Fhindsight\n- Chrome Forensics Guide: https:\u002F\u002Fallenace.medium.com\u002Fhindsight-chrome-forensics-made-simple-425db99fa5ed\n- Browser Forensics Tools: https:\u002F\u002Fwww.cyberforensicacademy.com\u002Fblog\u002Fbrowser-forensics-tools-how-to-extract-user-activity\n- Chromium Source (History): https:\u002F\u002Fsource.chromium.org\u002Fchromium\u002Fchromium\u002Fsrc\u002F+\u002Fmain:components\u002Fhistory\u002F\n\n## Example Output\n\n```text\n$ python hindsight.py -i \u002Fevidence\u002Fchrome-profile -o \u002Fanalysis\u002Fhindsight_output\n\nHindsight v2024.01 - Chrome\u002FChromium Browser Forensic Analysis\n================================================================\n\nProfile: \u002Fevidence\u002Fchrome-profile (Chrome 120.0.6099.130)\nOS: Windows 10\n\n[+] Parsing History database...\n    URL records:          12,456\n    Download records:     234\n    Search terms:         567\n\n[+] Parsing Cookies database...\n    Cookie records:       8,923\n    Encrypted cookies:    6,712\n\n[+] Parsing Web Data (Autofill)...\n    Autofill entries:     1,234\n    Credit card entries:  2 (encrypted)\n\n[+] Parsing Login Data...\n    Saved credentials:    45 (encrypted)\n\n[+] Parsing Bookmarks...\n    Bookmark entries:     189\n\n--- Browsing History (Last 10 Entries) ---\nTimestamp (UTC)          | URL                                          | Title                        | Visit Count\n2024-01-15 14:32:05.123  | https:\u002F\u002Fmail.corporate.com\u002Finbox             | Corporate Mail                | 45\n2024-01-15 14:33:12.456  | https:\u002F\u002Fdrive.google.com\u002Ffile\u002Fd\u002F1aBcDe...    | Q4_Financial_Report.xlsx     | 1\n2024-01-15 14:35:44.789  | https:\u002F\u002Fmega.nz\u002Ffolder\u002FxYz123               | MEGA - Secure Cloud          | 3\n2024-01-15 14:36:01.234  | https:\u002F\u002Fmega.nz\u002Ffolder\u002FxYz123#upload        | MEGA - Upload                | 8\n2024-01-15 14:42:15.567  | https:\u002F\u002Fpastebin.com\u002Fraw\u002FkL9mN2pQ           | Pastebin (raw)               | 1\n2024-01-15 15:01:33.890  | https:\u002F\u002F192.168.1.50:8443\u002Fadmin              | Admin Panel                  | 12\n2024-01-15 15:15:22.111  | https:\u002F\u002Ftransfer.sh\u002Fupload                  | transfer.sh                  | 2\n2024-01-15 15:30:45.222  | https:\u002F\u002Fvpn-gateway.corporate.com            | VPN Login                    | 5\n2024-01-15 16:00:00.333  | https:\u002F\u002Fwhatismyipaddress.com                 | What Is My IP                | 1\n2024-01-15 16:05:12.444  | https:\u002F\u002Fprotonmail.com\u002Finbox                 | ProtonMail                   | 3\n\n--- Downloads (Suspicious) ---\nTimestamp (UTC)          | Filename                    | URL Source                               | Size\n2024-01-15 14:33:15.000  | Q4_Financial_Report.xlsm   | https:\u002F\u002Fphish-domain.com\u002Fdocs\u002Freport     | 245 KB\n2024-01-15 14:34:02.000  | update_client.exe          | https:\u002F\u002Fcdn.evil-updates.com\u002Fclient.exe  | 1.2 MB\n\n--- Cookies (Session Tokens) ---\nDomain                   | Name              | Expires            | Secure | HttpOnly\n.corporate.com           | SESSION_ID        | 2024-01-16 14:32   | Yes    | Yes\n.mega.nz                 | session           | Session            | Yes    | Yes\n.protonmail.com          | AUTH-TOKEN        | 2024-02-15 00:00   | Yes    | Yes\n\nReport saved to: \u002Fanalysis\u002Fhindsight_output\u002FHindsight_Report.xlsx\n```\n",{"hide":44,"name":5,"source":45,"license":15,"description":7,"authorized_lab":40,"origin_frontmatter":46},true,"mukul975\u002FAnthropic-Cybersecurity-Skills","name: analyzing-browser-forensics-with-hindsight | description: Analyze Chromium-based browser artifacts using Hindsight to extract browsing |   history, downloads, cookies, cached content, autofill data, saved passwords, and |   browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation. | domain: cybersecurity | subdomain: digital-forensics | tags: | - browser-forensics | - hindsight | - chrome-forensics | - chromium | - edge | - browsing-history | - cookies | - download","main","4c6d8d65f3d6096e2fc25b0845e481dda73c2794",".claude\u002Fskills\u002Fcyber-analyzing-browser-forensics-with-hindsight",0,"https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions","Building deterministic AI governance and continuity systems. Workflow architect + visual storyteller","2026-11-11 16:42:59",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":44},[57,60,63],{"tool":58,"command":59},"npx","npx skills add nexuslinkproductions\u002Fyuri-os --skill cyber-analyzing-browser-forensics-with-hindsight",{"tool":61,"command":62},"bunx","bunx skills add nexuslinkproductions\u002Fyuri-os --skill cyber-analyzing-browser-forensics-with-hindsight",{"tool":64,"command":65},"pnpm","pnpm dlx skills add nexuslinkproductions\u002Fyuri-os --skill cyber-analyzing-browser-forensics-with-hindsight","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcyber-analyzing-browser-forensics-with-hindsight\u002FSKILL.md",[],[69,92,116,146,175,194],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":39},"01M71CG1AME5WC0A79AE65WT0X","zoom-out","Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.","MIT","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fzoom-out\u002FSKILL.md",[],[77,78,23,79,80,81,82,83,84,85,86,87,88,89,90,91],"zoom out","zoom","harness","how","section","re","true","understand","use","perspective","when","you","code","it","context",{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":98,"publishedAt":39},"01M71CFY9ATD0BAXV6B14HFG7C","yuri-shura","6-perspective adversarial review for high-stakes turns (architecture decisions, refactor planning, deployment review) — fans out architect, adversary (7-vector attack), maintainer, ops, product, and security perspectives in parallel, then consolidates. Use when user says 'review this decision', '\u002Fshura', 'adversarial review', 'what could go wrong', 'architecture review', or 'deployment review'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-shura\u002FSKILL.md",[],[99,100,79,101,102,103,104,105,106,107,108,85,109,87,110,111,112,113,114,115],"yuri shura","parallel","architecture review","planning","for","deployment","vector","strategic review","decision","strategic","ops","workflow","decisions","architecture","review","perspectives","adversarial",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":127,"publishedAt":39},"01M71CFTTYW1HA2MNX38EV1GJ5","yuri-sales-intelligence","Unified sales and outreach skill generating cold outreach openers, social selling sequences, objection rebuttals, and ad creative for any paid platform — multi-persona aware, adapting tone and offer frame to buyer type. Use when user says 'write a cold email', 'outreach sequence', 'objection handling', 'ad copy', or 'sales pitch'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-sales-intelligence\u002FSKILL.md",[122],{"categoryNo":123,"categoryName":124,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000005","邮件与沟通","SCENARIO","使用场景",[128,129,130,131,132,133,134,135,136,87,137,138,139,140,141,142,143,103,144,145],"intelligence","sales intelligence","yuri sales intelligence","sales","cold","paid","social","persona","pitch","cold email","ad creative","write","sequences","sequence","platform","email","cold outreach","frame",{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":160,"publishedAt":39},"01M71CFQMBFTFADJNGP0Z2WCYK","yuri-code-intelligence","Unified code quality intelligence layer that diagnoses code smells (Long Method, Feature Envy, design pattern issues), prescribes targeted Fowler refactoring techniques, and reviews code for security, performance, and clarity. Use when user says 'review this code', 'refactor this', 'what's wrong with this method', 'code smells', or 'clean this up'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-code-intelligence\u002FSKILL.md",[152,155],{"categoryNo":153,"categoryName":154,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":156,"categoryName":157,"taxonomyType":158,"taxonomyTypeDesc":159},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[161,89,162,128,79,163,164,165,103,166,167,168,169,170,171,172,173,174,85,87],"yuri code intelligence","code intelligence","reviews","code quality","feature","performance","code review","long","up","issues","clean","techniques","improve","design",{"skillNo":176,"name":177,"nameZh":6,"description":178,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":179,"categories":180,"keywords":181,"publishedAt":39},"01M71CFP32RT6GD3GKNHCJP8VP","yuri-adw","Invoke when user asks to run the ADW loop \u002F agentic engineering loop \u002F software factory workflow.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-adw\u002FSKILL.md",[],[182,183,184,185,186,187,188,189,190,87,191,110,192,193],"yuri adw","run","engineering loop","software factory","software","agentic engineering","factory","loop","invoke","engineering","agentic","user",{"skillNo":195,"name":196,"nameZh":6,"description":197,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":198,"categories":199,"keywords":212,"publishedAt":39},"01M71CFK4VPEKY6A73237P7RSN","writing-skills","Use when creating new skills, editing existing skills, or verifying skills work before deployment","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fwriting-skills\u002FSKILL.md",[200,203,206,209],{"categoryNo":201,"categoryName":202,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":204,"categoryName":205,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":207,"categoryName":208,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":210,"categoryName":211,"taxonomyType":158,"taxonomyTypeDesc":159},"01JBSEEDCAT000000000000036","内容创作者",[213,214,215,87,110,216,79,217,104,85,218],"writing","writing skills","new","work","editing","Existing"]