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Visual Recon

CommunityPopular
uphiago
visual-recon

Screenshot all live hosts for rapid visual triage and technology fingerprinting.

Overview

Publisheruphiago
Repositoryrecon-skills
Skill namevisual-recon
Stars
1.3K
Forks
213
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by uphiago on GitHub. Read the source before you install it.

Installation

Install the Visual Recon AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/uphiago/recon-skills.git /tmp/recon-skills
mkdir -p .claude/skills
cp -r /tmp/recon-skills/recon/visual-recon .claude/skills/visual-recon
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Visual Recon in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Visual Recon on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Visual Recon is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Visual Recon

Automatically screenshot every live host to triage hundreds of subdomains visually instead of manually opening each one. Combined with technology fingerprinting, this reveals technology stacks, default CMS install pages, admin panels, and misconfigured services at a glance. Process 500+ hosts in minutes and identify high-value targets by visual inspection.

When to Use

  • You have 100+ live subdomains and need to prioritize targets quickly.
  • Manual browsing is too slow for bulk reconnaissance.
  • Need to identify default install pages (WordPress setup, phpMyAdmin login, Jenkins dashboard).
  • Want to compare visual fingerprints across subdomains (shared infrastructure).
  • Target serves different content based on User-Agent or geolocation.

Prerequisites

  • terminal gowitness, httpx, and curl.
  • gowitness installed: go install github.com/sensepost/gowitness@latest.
  • A list of alive subdomains from subdomain-enumeration.

Quick Start

bash
gowitness file -f alive_subs.txt -P ./screenshots/ --no-http

Procedure

Phase 1 — Mass Screenshot Capture

bash
# gowitness — fast, Go-based screenshot tool
gowitness file -f alive_subs.txt \
  -P ./screenshots/ \
  --no-http \
  --timeout 15 \
  --resolution-x 1440 \
  --resolution-y 900

# With database for searchable results
gowitness file -f alive_subs.txt -P ./screenshots/ --no-http \
  --db gowitness.db --chrome-window-x 1440 --chrome-window-y 900

# Query results
gowitness report list --db gowitness.db
gowitness report generate --db gowitness.db

# eyewitness — with HTML report generation
python3 EyeWitness.py \
  -f alive_subs.txt \
  --web \
  -d ./eyewitness_output/ \
  --timeout 15 \
  --no-prompt

Phase 2 — Headless Mode for JS-Rendered Sites

bash
# Single-page applications need JS execution
gowitness single -u https://[SPA_COMPANY] \
  -P ./screenshots/ \
  --chrome-window-x 1440 --chrome-window-y 900

# Batch headless capture
cat spa_urls.txt | while read url; do
  gowitness single -u "$url" -P ./screenshots/
done

Phase 3 — Visual Analysis Patterns

Review screenshots for high-value patterns:

bash
# Extract all titles from screenshots for quick filtering
gowitness report list --db gowitness.db \
  | grep -iE "login|admin|dashboard|setup|install|phpmyadmin|jenkins|grafana|api|dev|staging|test"

# Look for default error pages (identifies specific web servers)
gowitness report list --db gowitness.db \
  | grep -iE "404|403|502|503|default|maintenance|under construction"

What to look for:

Screenshot showsMeaning
WordPress install pageFresh WordPress — test registration on /wp-admin/install.php
phpMyAdmin loginDatabase access panel — try default creds
Jenkins loginCI/CD server — check for unauthenticated access
Grafana/PrometheusMonitoring dashboard — check for public data
IIS default pageWindows server — check for ASP.NET endpoints
Apache default pageStandard Linux server — check for server-status
Error stack tracesDebug mode enabled — extract server paths and versions
Directory listingReadable file tree — check for config files
Login form on custom portInternal admin panel — highest priority target

Phase 4 — Visual Diffing (Multi-Environment)

bash
# Compare screenshots across subdomains to find shared infrastructure
# Same visual = shared server = if one is vulnerable, all are

ls screenshots/ | cut -d'-' -f1 | sort | uniq -c | sort -rn
# High count of identical-looking sites = mass vulnerability potential

Phase 5 — Technology Fingerprinting from Screenshots

bash
# whatweb — identifies CMS, frameworks, servers
whatweb -i alive_subs.txt -a 3 -t 50 --log-brief=cms_results.txt

# wappalyzer CLI — detailed tech stack
wappalyzer https://target.com

# httpx with tech detection built-in
cat alive_subs.txt | httpx -silent -tech-detect -o tech_detected.txt

# Extract unique technologies
cat tech_detected.txt | awk -F'[' '{print $2}' | tr -d ']' | tr ',' '\n' \
  | sort | uniq -c | sort -rn

Phase 6 — Screenshot-Based Triage Pipeline

bash
# Full pipeline: subdomains → alive → screenshot → filter → prioritize
cat all_subs.txt \
  | httpx -silent -mc 200 -o alive_200.txt

gowitness file -f alive_200.txt -P ./screenshots/ --no-http

# Generate report for manual review
gowitness report generate --db gowitness.db -o ./report/

# Extract login/admin pages for priority testing
gowitness report list --db gowitness.db \
  | grep -iE "login|admin|sign.?in|dashboard|panel|manage" \
  > priority_targets.txt

Pitfalls

  • Large screenshot batches can overwhelm disk. 500 screenshots at 1440x900 ≈ 300MB.
  • JS-heavy SPAs may render as blank. Use headless mode with longer timeout.
  • Redirect chains produce screenshots of the redirect target. This is correct — you want the final destination.
  • CAPTCHA pages waste screenshots. Filter CAPTCHA hosts before screenshotting.
  • Timeout on slow servers. --timeout 15 is usually sufficient; increase for slow connections.

Verification

  1. Screenshots exist for all hosts in alive_subs.txt.
  2. Visual inspection confirms each screenshot shows meaningful content (not blank, not error).
  3. Technology detection matches the visual fingerprint (WordPress favicon = WordPress CMS).
  4. Priority targets (login panels, admin dashboards, dev environments) are identified and moved to next phase.

Related Skills

  • subdomain-enumeration — Generate the list of alive subdomains.
  • web-enumeration — Deep dive into individual hosts found via screenshots.
  • cms-detection — Automated CMS and framework detection on discovered hosts.

Frequently asked questions

What does the Visual Recon AI skill do?

Screenshot all live hosts for rapid visual triage and technology fingerprinting.

Why use Visual Recon on TypingMind?

Because you install it once and use it with any model. Visual Recon is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Visual Recon in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uphiago/recon-skills/tree/main/recon/visual-recon. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Visual Recon?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Visual Recon?

As many as you like. As long as a model supports skills, you can use Visual Recon with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Visual Recon AI skill free?

Yes. It is published on GitHub by uphiago under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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