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Google Dorks Catalog

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uphiago
google-dorks-catalog

High-precision Google dorks for exposed configs, secrets, and credentials -- real-world validated

Overview

Publisheruphiago
Repositoryrecon-skills
Skill namegoogle-dorks-catalog
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 Google Dorks Catalog 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/meta/google-dorks-catalog .claude/skills/google-dorks-catalog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Dorks Catalog 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 Google Dorks Catalog 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 Google Dorks Catalog 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.

Google Dorks Catalog -- Exposed Configs & Secrets

When to Use

  • During passive reconnaissance (Phase 1) on every target
  • After crt.sh subdomain enumeration
  • Before any active scanning
  • Validated against 100+ real targets

High-Precision Dorks

Critical Exposed Files

site:$target "APP_KEY"
site:$target "DB_PASSWORD"
site:$target "-----BEGIN RSA PRIVATE KEY-----"
site:$target filetype:env
site:$target inurl:git/config
site:$target intitle:"index of" ".env"
site:$target "api_key" OR "apikey" OR "secret_key"
site:$target "firebase" "apiKey"
site:$target "supabase" "anon" "key"
site:$target inurl:"/.env" "DB_PASSWORD"
site:$target "client_secret" "redirect_uris" extension:json
site:$target "private_key" "client_email" extension:json

Exposed Configuration Files (ALL Extensions)

site:$target ext:log | ext:txt | ext:conf | ext:cnf | ext:ini | ext:env | ext:sh | ext:bak | ext:backup | ext:swp | ext:old | ext:~ | ext:git | ext:svn | ext:htpasswd | ext:htaccess | ext:json

This covers:

  • logs -- tokens, SQL queries, emails in plain text
  • txt/conf/cnf/ini -- server configurations, DB hosts
  • env -- environment variables with credentials
  • sh -- scripts with hardcoded passwords
  • bak/backup/swp/old/~ -- backup files with old versions
  • git/svn -- exposed versioned repositories
  • htpasswd/htaccess -- access control with hashes
  • json -- service accounts, Firebase configs, Supabase configs

Service-Specific Dorks

Supabase
site:$target "supabase.co" "anon_key" OR "SUPABASE_ANON_KEY"
Firebase
site:$target "firebase-adminsdk" "private_key_id" extension:json
AWS
site:$target "AKIA" filetype:env NOT example NOT test
SendGrid
site:$target "SG." filetype:env NOT example
MongoDB
site:$target "mongodb+srv://" "password"
PostgreSQL
site:$target "postgresql://" "password" ext:env
JWT Secrets
site:$target "JWT_SECRET" OR "jwt_secret" filetype:env
OpenAI API Keys
site:$target "sk-" filetype:env OR filetype:txt
GitHub Tokens
site:$target "ghp_" OR "gho_" OR "ghu_"

GitHub Code Search Patterns

With GitHub personal token (much better results):

python
headers = {"Authorization": "token GH_TOKEN"}
base = "https://api.github.com/search/code"

# SA Keys (Firebase/GCP) -- ~1 in 30 is valid
params = {"q": '"type": "service_account" "private_key" "project_id"'}

# .env with real credentials
params = {"q": 'DB_PASSWORD+DB_HOST+APP_KEY+filename:.env+NOT+example+NOT+your+NOT+test'}

# Supabase URLs + keys
params = {"q": 'supabase.co+SUPABASE_URL+SUPABASE_ANON_KEY+NOT+example+NOT+your'}

# AWS Keys
params = {"q": 'AKIA+filename:.env+NOT+example+NOT+your'}

# SendGrid keys
params = {"q": 'SG.+filename:.env+NOT+example'}

# MongoDB connection strings
params = {"q": 'mongodb+srv://+password+filename:.env'}

Certificate SAN Discovery

bash
# Extract SANs directly from the certificate
openssl s_client -connect $TARGET:443 -servername $TARGET </dev/null 2>/dev/null | \
  openssl x509 -noout -ext subjectAltName | grep -Eo 'DNS:[^,]+' | cut -d: -f2 | sort -u

Real-World Cases

Real-world case (redacted): SSO certificate revealed ORG_DOMAIN_1, ORG_DOMAIN_2, ORG_DOMAIN_3 that didn't appear in conventional CT searches.

Pitfalls

IssueSolution
Google rate limitsSpace out searches, use incognito, rotate IP
GitHub API limitsUse personal token (5000 req/hr)
False positives from example reposAppend NOT example NOT test NOT your

Verification

bash
# Test dork results manually
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET/.env" | head -5
# Verify GitHub found secrets
python3 -c "import json; print(json.loads(open('result.json').read()))"

Frequently asked questions

What does the Google Dorks Catalog AI skill do?

High-precision Google dorks for exposed configs, secrets, and credentials -- real-world validated

Why use Google Dorks Catalog on TypingMind?

Because you install it once and use it with any model. Google Dorks Catalog 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 Google Dorks Catalog in TypingMind?

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

Which AI models can use Google Dorks Catalog?

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 Google Dorks Catalog?

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

Is the Google Dorks Catalog 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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