#!/usr/bin/env python3
"""Browser forensics analysis agent using Hindsight concepts.

Parses Chromium-based browser artifacts (Chrome, Edge, Brave) including
history, downloads, cookies, autofill, and extensions from SQLite databases.
"""

import os
import sys
import json
import sqlite3
import datetime


def chrome_time_to_datetime(chrome_time):
    """Convert Chrome timestamp (microseconds since 1601-01-01) to datetime."""
    if not chrome_time or chrome_time == 0:
        return None
    try:
        epoch = datetime.datetime(1601, 1, 1)
        delta = datetime.timedelta(microseconds=chrome_time)
        return (epoch + delta).isoformat() + "Z"
    except (OverflowError, OSError):
        return None


def find_browser_profiles(base_path=None):
    """Locate Chromium-based browser profile directories."""
    if base_path and os.path.isdir(base_path):
        return [base_path]
    profiles = []
    home = os.path.expanduser("~")
    candidates = [
        os.path.join(home, "AppData", "Local", "Google", "Chrome", "User Data", "Default"),
        os.path.join(home, "AppData", "Local", "Microsoft", "Edge", "User Data", "Default"),
        os.path.join(home, "AppData", "Local", "BraveSoftware", "Brave-Browser", "User Data", "Default"),
        os.path.join(home, ".config", "google-chrome", "Default"),
        os.path.join(home, ".config", "chromium", "Default"),
        os.path.join(home, ".config", "microsoft-edge", "Default"),
    ]
    for path in candidates:
        if os.path.isdir(path):
            profiles.append(path)
    return profiles


def parse_history(profile_path):
    """Parse browsing history from History SQLite database."""
    db_path = os.path.join(profile_path, "History")
    if not os.path.exists(db_path):
        return []
    entries = []
    try:
        conn = sqlite3.connect(f"file:{db_path}?mode=ro", uri=True)
        cursor = conn.cursor()
        cursor.execute("""
            SELECT u.url, u.title, v.visit_time, v.transition, u.visit_count
            FROM visits v JOIN urls u ON v.url = u.id
            ORDER BY v.visit_time DESC LIMIT 5000
        """)
        for url, title, visit_time, transition, count in cursor.fetchall():
            entries.append({
                "url": url, "title": title or "",
                "visit_time": chrome_time_to_datetime(visit_time),
                "transition": transition & 0xFF,
                "visit_count": count,
            })
        conn.close()
    except sqlite3.Error as e:
        entries.append({"error": str(e)})
    return entries


def parse_downloads(profile_path):
    """Parse download history from History database."""
    db_path = os.path.join(profile_path, "History")
    if not os.path.exists(db_path):
        return []
    downloads = []
    try:
        conn = sqlite3.connect(f"file:{db_path}?mode=ro", uri=True)
        cursor = conn.cursor()
        cursor.execute("""
            SELECT target_path, tab_url, total_bytes, start_time, end_time,
                   danger_type, interrupt_reason, mime_type
            FROM downloads ORDER BY start_time DESC LIMIT 1000
        """)
        for row in cursor.fetchall():
            downloads.append({
                "target_path": row[0], "source_url": row[1],
                "total_bytes": row[2],
                "start_time": chrome_time_to_datetime(row[3]),
                "end_time": chrome_time_to_datetime(row[4]),
                "danger_type": row[5], "interrupt_reason": row[6],
                "mime_type": row[7],
            })
        conn.close()
    except sqlite3.Error as e:
        downloads.append({"error": str(e)})
    return downloads


def parse_cookies(profile_path):
    """Parse cookies from Cookies database."""
    db_path = os.path.join(profile_path, "Cookies")
    if not os.path.exists(db_path):
        db_path = os.path.join(profile_path, "Network", "Cookies")
    if not os.path.exists(db_path):
        return []
    cookies = []
    try:
        conn = sqlite3.connect(f"file:{db_path}?mode=ro", uri=True)
        cursor = conn.cursor()
        cursor.execute("""
            SELECT host_key, name, path, creation_utc, expires_utc,
                   is_secure, is_httponly, samesite
            FROM cookies ORDER BY creation_utc DESC LIMIT 2000
        """)
        for row in cursor.fetchall():
            cookies.append({
                "host": row[0], "name": row[1], "path": row[2],
                "created": chrome_time_to_datetime(row[3]),
                "expires": chrome_time_to_datetime(row[4]),
                "secure": bool(row[5]), "httponly": bool(row[6]),
                "samesite": row[7],
            })
        conn.close()
    except sqlite3.Error as e:
        cookies.append({"error": str(e)})
    return cookies


def parse_autofill(profile_path):
    """Parse autofill data from Web Data database."""
    db_path = os.path.join(profile_path, "Web Data")
    if not os.path.exists(db_path):
        return []
    entries = []
    try:
        conn = sqlite3.connect(f"file:{db_path}?mode=ro", uri=True)
        cursor = conn.cursor()
        cursor.execute("""
            SELECT name, value, count, date_created, date_last_used
            FROM autofill ORDER BY date_last_used DESC LIMIT 500
        """)
        for row in cursor.fetchall():
            entries.append({
                "field_name": row[0], "value": row[1][:50] + "..." if len(row[1]) > 50 else row[1],
                "usage_count": row[2],
                "created": chrome_time_to_datetime(row[3] * 1000000 if row[3] else 0),
                "last_used": chrome_time_to_datetime(row[4] * 1000000 if row[4] else 0),
            })
        conn.close()
    except sqlite3.Error as e:
        entries.append({"error": str(e)})
    return entries


def parse_extensions(profile_path):
    """Parse installed browser extensions."""
    ext_dir = os.path.join(profile_path, "Extensions")
    extensions = []
    if not os.path.isdir(ext_dir):
        return extensions
    for ext_id in os.listdir(ext_dir):
        ext_path = os.path.join(ext_dir, ext_id)
        if os.path.isdir(ext_path):
            versions = sorted(os.listdir(ext_path))
            manifest_path = os.path.join(ext_path, versions[-1], "manifest.json") if versions else None
            name = ext_id
            if manifest_path and os.path.exists(manifest_path):
                try:
                    with open(manifest_path, "r", encoding="utf-8") as f:
                        manifest = json.load(f)
                    name = manifest.get("name", ext_id)
                    extensions.append({
                        "id": ext_id, "name": name,
                        "version": manifest.get("version", "?"),
                        "permissions": manifest.get("permissions", [])[:10],
                    })
                except (json.JSONDecodeError, IOError):
                    extensions.append({"id": ext_id, "name": name, "version": "unknown"})
    return extensions


def detect_suspicious_activity(history, downloads):
    """Flag suspicious browsing and download patterns."""
    findings = []
    suspicious_domains = ["pastebin.com", "ngrok.io", "raw.githubusercontent.com",
                          "transfer.sh", "file.io", "temp.sh", "anonfiles.com"]
    for entry in history:
        url = entry.get("url", "").lower()
        for domain in suspicious_domains:
            if domain in url:
                findings.append({
                    "type": "suspicious_url", "url": entry["url"],
                    "domain": domain, "time": entry.get("visit_time"),
                })
    dangerous_mimes = ["application/x-msdownload", "application/x-msdos-program",
                       "application/x-executable", "application/vnd.ms-excel.sheet.macroEnabled"]
    for dl in downloads:
        if dl.get("danger_type", 0) > 0:
            findings.append({
                "type": "dangerous_download", "path": dl.get("target_path"),
                "source": dl.get("source_url"), "danger_type": dl.get("danger_type"),
            })
        if dl.get("mime_type", "") in dangerous_mimes:
            findings.append({
                "type": "suspicious_mime", "mime": dl.get("mime_type"),
                "path": dl.get("target_path"),
            })
    return findings


if __name__ == "__main__":
    print("=" * 60)
    print("Browser Forensics Analysis Agent")
    print("Chromium history, downloads, cookies, extensions")
    print("=" * 60)

    target = sys.argv[1] if len(sys.argv) > 1 else None
    profiles = find_browser_profiles(target)

    if not profiles:
        print("\n[!] No browser profiles found.")
        print("[DEMO] Usage: python agent.py <profile_path>")
        print("  e.g. python agent.py ~/AppData/Local/Google/Chrome/User\\ Data/Default")
        sys.exit(0)

    for profile in profiles:
        print(f"\n[*] Profile: {profile}")

        history = parse_history(profile)
        print(f"  History entries: {len(history)}")
        for h in history[:5]:
            print(f"    {h.get('visit_time', '?')} | {h.get('title', '')[:50]} | {h.get('url', '')[:60]}")

        downloads = parse_downloads(profile)
        print(f"  Downloads: {len(downloads)}")
        for d in downloads[:5]:
            print(f"    {d.get('start_time', '?')} | {d.get('mime_type', '?')} | {os.path.basename(d.get('target_path', ''))}")

        cookies = parse_cookies(profile)
        print(f"  Cookies: {len(cookies)}")

        extensions = parse_extensions(profile)
        print(f"  Extensions: {len(extensions)}")
        for ext in extensions[:5]:
            print(f"    {ext.get('name', '?')} v{ext.get('version', '?')} [{ext.get('id', '')[:20]}]")

        findings = detect_suspicious_activity(history, downloads)
        print(f"\n  --- Suspicious Activity: {len(findings)} findings ---")
        for f in findings[:10]:
            print(f"    [{f['type']}] {f.get('url', f.get('path', ''))}")

#!/usr/bin/env python3
"""Browser Forensics Analyzer - Parses Chrome History SQLite for investigation."""
import sqlite3, json, os, sys
from datetime import datetime, timedelta

CHROME_EPOCH = datetime(1601, 1, 1)

def chrome_ts(ts):
    if not ts: return None
    try: return str(CHROME_EPOCH + timedelta(microseconds=ts))
    except: return None

def analyze_chrome(profile: str, output_dir: str) -> str:
    os.makedirs(output_dir, exist_ok=True)
    history_db = os.path.join(profile, "History")
    conn = sqlite3.connect(f"file:{history_db}?mode=ro", uri=True)
    c = conn.cursor()
    c.execute("SELECT u.url, u.title, v.visit_time, u.visit_count FROM visits v JOIN urls u ON v.url=u.id ORDER BY v.visit_time DESC LIMIT 2000")
    visits = [{"url": r[0], "title": r[1], "time": chrome_ts(r[2]), "count": r[3]} for r in c.fetchall()]
    c.execute("SELECT target_path, tab_url, start_time, total_bytes, mime_type FROM downloads ORDER BY start_time DESC LIMIT 500")
    downloads = [{"path": r[0], "url": r[1], "time": chrome_ts(r[2]), "size": r[3], "mime": r[4]} for r in c.fetchall()]
    conn.close()
    report = {"visits": len(visits), "downloads": len(downloads), "visit_data": visits, "download_data": downloads}
    out = os.path.join(output_dir, "browser_forensics.json")
    with open(out, "w") as f: json.dump(report, f, indent=2)
    print(f"[*] Visits: {len(visits)}, Downloads: {len(downloads)}")
    return out

if __name__ == "__main__":
    if len(sys.argv) < 3: print("Usage: process.py <chrome_profile> <output>"); sys.exit(1)
    analyze_chrome(sys.argv[1], sys.argv[2])