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Agent Skill · 研究检索

analyzing-browser-forensics-with-hindsight(事后分析浏览器取证)

analyzing-browser-forensics-with-hindsight 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

analyzing-browser-forensics-with-hindsight 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 38,269。

总安装 1,584周安装 66GitHub Stars 5,934下载 528核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:analyzing-browser-forensics-with-hindsight(事后分析浏览器取证)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/analyzing-browser-forensics-with-hindsight
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-browser-forensics-with-hindsight
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-browser-forensics-with-hindsight

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

利用 Hindsight 工具解析浏览器数据库,重建上网活动时间线。适用于数字取证、用户行为分析和网络钓鱼痕迹追踪。可提取历史记录、缓存、Cookie、密码及扩展信息等关键数据。需获取目标浏览器本地文件,注意隐私合规与数据脱敏要求。

analyzing-browser-forensics-with-hindsight 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/analyzing-browser-forensics-with-hindsight

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

analyzing-browser-forensics-with-hindsight 怎么安装?

在终端执行 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzin…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

analyzing-browser-forensics-with-hindsight 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

analyzing-browser-forensics-with-hindsight 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

analyzing-browser-forensics-with-hindsight 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

analyzing-browser-forensics-with-hindsight 用的人多吗?

公开数据是累计安装 1,584 次,近一周安装 66 次,下载 528 次,GitHub 5,934 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

analyzing-browser-forensics-with-hindsight 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 5,934 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
analyzing-browser-forensics-with-hindsight

事后分析浏览器取证 · 本页

1,5845,934操作浏览器未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

BrowserWindows 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

FileContents
HistoryURL visits, downloads, keyword searches
CookiesHTTP cookies with domain, expiry, values
Web DataAutofill entries, saved credit cards
Login DataSaved usernames/passwords (encrypted)
BookmarksJSON bookmark tree
PreferencesBrowser configuration and extensions
Local Storage/HTML5 Local Storage per domain
Session Storage/Session-specific storage per domain
Network Action PredictorPreviously typed URLs
ShortcutsOmnibox shortcuts and predictions
Top SitesFrequently visited sites

Running Hindsight

Command Line

# 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

# 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

-- 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

-- 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

-- 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

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

Example Output

$ 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

平台分布

Codex

31.19%
按下载量换算165

Claude

30.24%
按下载量换算160

Cursor

19.41%
按下载量换算102

Gemini CLI

9.67%
按下载量换算51

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

未通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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