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pip install pyhindsightpip install pyhindsight| 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/ |
| 浏览器 | Windows配置文件路径 |
|---|---|
| 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/ |
| 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 |
| 文件 | 内容 |
|---|---|
| History | URL访问记录、下载记录、关键词搜索记录 |
| Cookies | 包含域名、过期时间、值的HTTP Cookie |
| Web Data | 自动填充条目、保存的信用卡信息 |
| Login Data | 保存的用户名/密码(已加密) |
| Bookmarks | JSON格式的书签树 |
| Preferences | 浏览器配置和扩展信息 |
| Local Storage/ | 按域名划分的HTML5本地存储 |
| Session Storage/ | 按会话划分的特定存储 |
| Network Action Predictor | 之前输入过的URL |
| Shortcuts | 地址栏快捷方式和预测内容 |
| Top Sites | 频繁访问的网站 |
undefinedundefinedundefinedundefinedundefinedundefinedundefinedundefined-- 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')-- 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-- 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-- 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, samesiteimport 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()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$ 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