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visual-recon

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

Install / Use

npx skills add uphiago/recon-skills --skill visual-recon

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

89/100

Category

Automation

Supported Platforms

Universal

Our assessment of visual-recon

visual-recon scores 89/100 on our quality scale, 1083rd of 2,750 Automation skills we index (top 40%).

Its SKILL.md is 6.0 KB long, well organised into 32 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.

With 1,280 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 29 days ago, so visual-recon is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

visual-recon compared with similar skills

All 4 of these similar skills score higher than visual-recon; compare them before choosing.

SkillScoreStarsUpdatedFormat
visual-recon (this skill)by uphiago891.3k29d agoSKILL.md
Agent-Reachby Panniantong10086.6k15d agoCLAUDE.md
headroomby headroomlabs-ai10074.2ktodayCLAUDE.md
rufloby ruvnet10073.6ktodayCLAUDE.md
Scraplingby D4Vinci10084.8ktodayMCP Server

Frequently asked questions

How do I install visual-recon?
Run npx skills add uphiago/recon-skills --skill visual-recon. The install tabs above show the steps for each supported agent.
Which AI agents does visual-recon work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is visual-recon safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is visual-recon still maintained?
The repository was last updated 29 days ago, so visual-recon is actively maintained.

name: visual-recon description: Screenshot all live hosts for rapid visual triage and technology fingerprinting. version: 1.1.0 revision_date: 2026-07-25 license: MIT platforms: [linux] compatibility: Requires curl, httpx, python3 tags: [recon, screenshot, visual, triage, fingerprinting, technology] category: recon related_skills:

  • subdomain-enumeration
  • web-enumeration
  • cms-detection
  • port-service-discovery

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

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

Procedure

Phase 1 — Mass Screenshot Capture

# 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

# 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:

# 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 shows | Meaning | |---|---| | WordPress install page | Fresh WordPress — test registration on /wp-admin/install.php | | phpMyAdmin login | Database access panel — try default creds | | Jenkins login | CI/CD server — check for unauthenticated access | | Grafana/Prometheus | Monitoring dashboard — check for public data | | IIS default page | Windows server — check for ASP.NET endpoints | | Apache default page | Standard Linux server — check for server-status | | Error stack traces | Debug mode enabled — extract server paths and versions | | Directory listing | Readable file tree — check for config files | | Login form on custom port | Internal admin panel — highest priority target |

Phase 4 — Visual Diffing (Multi-Environment)

# 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

# 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

# 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.

Related Skills

View on GitHub
GitHub Stars1.3k
CategoryAutomation
Updated29d ago
Forks215

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions