web-fingerprinting

web-fingerprinting is a skill for Claude Code, Codex from SecurityTalent/bugskill-ai. It costs 117 tokens per session (1,682 once invoked), scanned C, original, MIT.

A security and information-gathering guide for identifying a website's server software, programming framework, and application entry points. It uses clues such as HTTP headers, cookies, HTML metadata, source maps, and exposed files.

In plain words
What is it for?
Use it to inspect a website's responses and public files for exposed versions, framework markers, source code paths, credentials, internal addresses, and hidden routes.
Why use it?
It helps reveal technology details and accidentally public files that can narrow an attacker's options for targeting known weaknesses. Finding these clues supports safer configuration and security review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it to inspect a website's responses and public files for exposed versions, framework markers, source code paths, credentials, internal addresses, and hidden routes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/securitytalent/bugskill-ai/web-fingerprinting
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add SecurityTalent/bugskill-ai --skill web-fingerprinting
Clone the repo
git clone --depth 1 https://github.com/SecurityTalent/bugskill-ai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for web-fingerprinting

README.md
[![agentmods](https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/web-fingerprinting/github.svg)](https://agentmods.dev/skills/securitytalent/bugskill-ai/web-fingerprinting)
Your own site
<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/web-fingerprinting"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/web-fingerprinting/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for web-fingerprinting

Your own site · 80×15
<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/web-fingerprinting"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/web-fingerprinting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,682 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00117 $0.01682
Opus 5.5 $0.00047 $0.00673
Sonnet 5.5 $0.00023 $0.00336
Haiku 4.5 $0.00012 $0.00168

Measured 20d ago against content hash 8ac3cca7e0e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

web-fingerprinting scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 20d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -s http://TARGET/static/app.js.map | python3 -m json.tool | grep sources

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

compatibility: Designed for Claude Code. Requires curl, nikto, nmap, or Burp Suite.
Awesome-Claude-Code-Agent-Skills/01-Reconnaissance-and-OSINT/web-fingerprinting/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Fingerprinting and Information Gathering

What Is Broken and Why

Web applications leak technology stack details through HTTP response headers, HTML comments, cookie names, error messages, and static file paths. Search engines and archives may index sensitive configuration files, credentials, and internal network diagrams. Collectively this intelligence narrows an attacker's target surface dramatically before any active exploitation begins, enabling precise selection of known CVEs for the identified stack.

Key Signals

  • Server: header reveals product and version (e.g., Apache/2.4.41, nginx/1.17.3)
  • X-Powered-By: or X-Generator: headers expose backend language/framework
  • Framework-specific cookies: CAKEPHP, laravel_session, wp-settings, fe_typo_user
  • HTML <meta name="generator"> tags (WordPress, Joomla, Drupal)
  • Accessible paths: /wp-admin/, /wp-content/, /wp-includes/
  • HTML comments embedding SQL queries, credentials, or internal IPs
  • JS files with hardcoded API keys, DB connection strings, AWS credentials
  • .map source map files exposing full source trees and internal file paths
  • robots.txt Disallow entries revealing hidden paths
  • Error responses leaking stack traces, framework names, file paths
  • __VIEWSTATE in forms = ASP.NET; <!-- ZK = ZK framework; .cfm = ColdFusion

Methodology

  1. Passive recon: Run Google dorks against the target domain using site:, inurl:, filetype:, intitle:, intext: operators. Check Internet Archive Wayback Machine and Shodan.
  2. Banner grabbing: Send raw HTTP/HTTPS requests and record Server:, X-Powered-By:, ETag, header ordering, and error page footers.
  3. Malformed request probing: Send invalid HTTP version strings to trigger version-revealing error pages.
  4. Cookie analysis: Capture Set-Cookie headers across all application sections; match names against known framework signatures.
  5. HTML/JS source review: Spider the application, download all .js files, search for credentials patterns, internal hostnames, API endpoints.
  6. Source map detection: Append .map to discovered JS filenames; if 200 OK, parse sources array for internal paths.
  7. Entry point mapping: Use intercepting proxy to record all GET/POST parameters, hidden fields, custom headers, and WebSocket frames.
  8. Dirbusting: Request framework-specific paths identified in step 4; compare HTTP response codes to confirm technology.

Read the full file on GitHub · 144 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 20d ago First seen · 144 lines · 117 tokens per session scan C 8ac3cca7e0e1

Subscribe to this mod's changes

web-fingerprinting is a skill published in the GitHub repository SecurityTalent/bugskill-ai (13 stars, last pushed 21d ago), licensed MIT. It adds 117 tokens to every session and 1,682 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-27.

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