hunt-firebase

hunt-firebase is a skill for Claude Code, Codex from uphiago/recon-skills. It costs 133 tokens per session (4,799 once invoked), scanned C, original, MIT.

A security-testing guide for Firebase, Google's platform for web and mobile applications, including Firestore, Realtime Database, Storage, Hosting, and GCP access.

In plain words
What is it for?
Use it to test Firebase keys, anonymous sign-up, database rules, storage access, hosting configuration, and leaked service-account credentials.
Why use it?
It helps find public databases, files, accounts, or cloud credentials caused by weak rules or exposed configuration.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to test Firebase keys, anonymous sign-up, database rules, storage access, hosting configuration, and leaked service-account credentials.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uphiago/recon-skills/hunt-firebase
About the project

Recon Skills is a pack of security-testing skills covering reconnaissance, web applications, APIs, authentication, vulnerability validation, cloud infrastructure, and reporting. Security professionals use it for authorized assessments of systems they own or have written permission to test. The catalogue entries are individual skills from the pack.

uphiago/recon-skills · 1,254 stars · on GitHub · hiago.sh

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 uphiago/recon-skills --skill hunt-firebase
Clone the repo
git clone --depth 1 https://github.com/uphiago/recon-skills

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 hunt-firebase

README.md
[![agentmods](https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-firebase/github.svg)](https://agentmods.dev/skills/uphiago/recon-skills/hunt-firebase)
Your own site
<a href="https://agentmods.dev/skills/uphiago/recon-skills/hunt-firebase"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-firebase/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 hunt-firebase

Your own site · 80×15
<a href="https://agentmods.dev/skills/uphiago/recon-skills/hunt-firebase"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-firebase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,799 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 13 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 3
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 77
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 79
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 391
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 80
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 81
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Supply Chain · line 84
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 85
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 101
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 162
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • medium Data Exfiltration · line 101
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 188
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 267
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00133 $0.04799
Opus 5 $0.00067 $0.02400
Sonnet 5 $0.00027 $0.00960
Haiku 4.5 $0.00013 $0.00480

Measured 8d ago against content hash dfe99e6e8f08, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade C, and why

hunt-firebase 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 8d 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 --max-time 30 --connect-timeout 10 -sk "https://$TARGET/service-account.json" | python3 -m json.tool 2>/dev/null

Makes network callslowCapability

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

curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET" -o /tmp/index.html
redteam/hunt-firebase/SKILL.md · 461 lines

How it starts

The opening of the file, as written. The whole thing — 461 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HUNT-FIREBASE — Firebase / Firestore / GCP Exploitation

Crown Jewel Targets

Firebase is Google's mobile/web platform. When developers embed the API key in the client (which is required by Firebase SDKs), they often forget to configure Firestore Security Rules or Realtime Database Rules, leaving all data publicly readable and writable.

Highest-value findings:

  1. Public Firestore Database — anon key allows read/write to ALL collections → full data dump (users, messages, PII). Critical.
  2. Public Realtime Database{database}.firebaseio.com/.json returns all data without auth. Critical.
  3. Firebase Storage with public read — storage bucket allows anonymous file listing and download. Critical.
  4. Firebase signUp open — anyone can create an auth account, then use the JWT to access Firestore. High.
  5. Service Account JSON leaked — full GCP IAM access to Firestore, Storage, Cloud Functions, IAM policy. Critical.
  6. Firebase Hosting with config leakage — hosting reveals project ID and API key in static files.

Phase 1 — Find the Firebase Project

Firebase is identified by its API key format: AIzaSy[0-9A-Za-z_-]{35}

1.1 Search in JS Bundles

# Download the main page and its JS bundles
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET" -o /tmp/index.html
grep -Eo 'src="[^"]*\.js"' /tmp/index.html | cut -d'"' -f2 | while read js; do
  curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET$js" -o "/tmp/$(basename $js)"
done

# Search for Firebase API keys in all downloaded JS
grep -rEn 'AIza[0-9A-Za-z_-]{35}' /tmp/*.js

# Search for firebaseConfig
grep -rEn 'firebaseConfig|firebase.initializeApp|apiKey|authDomain' /tmp/*.js --include="*.js"

# Search for Firebase URLs
grep -rEn 'firebaseio|firestore|firebasestorage|firebaseapp' /tmp/*.js --include="*.js"

# Quick one-liner for any page
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET" | grep -Eo 'AIza[0-9A-Za-z_-]{35}'

1.2 Search in Source Maps

# First find source maps
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET" | grep -Eo 'sourceMappingURL=[^\"]+' | cut -d= -f2 | while read sm; do
  curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET$(echo $sm | sed 's|^/||')" -o "/tmp/$(basename $sm)"
done

# Extract all source files from maps
cat /tmp/*.map 2>/dev/null | python3 -c "
import sys, json, re, os
try:
    data = json.load(sys.stdin)
    sources = data.get('sourcesContent', [])
    for src in sources:
        if not src: continue
        keys = re.findall(r'AIza[0-9A-Za-z_-]{35}', src)
        for k in keys:
            print(f'FIREBASE_API_KEY: {k}')
        urls = re.findall(r'https://[^\"'\"]+firebaseio[^\"'\"]+', src)
        for u in urls:
            print(f'FIREBASE_URL: {u}')
except: pass
" 2>/dev/null

Read the full file on GitHub · 461 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. 8d ago First seen · 461 lines · 133 tokens per session scan C dfe99e6e8f08

Subscribe to this mod's changes

hunt-firebase is a skill published in the GitHub repository uphiago/recon-skills (1,254 stars, last pushed 10d ago), licensed MIT. It adds 133 tokens to every session and 4,799 once invoked, about $0.0007 per session on Opus 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 2026-09-03.

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