analyzing-browser-forensics-with-hindsight

mukul975/Anthropic-Cybersecurity-SkillsSecurityAudit pendingSnapshot 07a766829ff2

Summary

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SKILL.md

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\

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

# 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

# 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

-- 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')

-- 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

-- 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

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()

$ 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

analyzing-browser-forensics-with-hindsight

Summary

SKILL.md

Analyzing Browser Forensics with Hindsight

Overview

When to Use

Prerequisites

Browser Profile Locations

Key Artifact Files

Running Hindsight

Command Line

Web UI

Artifact Analysis Details

URL History and Visits

Download History

Cookie Analysis

Python Analysis Script

References

Example Output

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