Firebase Apk Scanner logo

Firebase Apk Scanner

OrganizationPopular
trailofbits
firebase-apk-scanner

Scans Android APKs for Firebase security misconfigurations including open databases, storage buckets, authentication issues, and exposed cloud functions. Use when analyzing APK files for Firebase vulnerabilities, performing mobile app security audits, or testing Firebase endpoint security. For authorized security research only.

Overview

Publishertrailofbits
Repositoryskills
Skill namefirebase-apk-scanner
Stars
7.1K
Forks
611
Bundled files
4
LicenseCC-BY-SA-4.0
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Firebase Apk Scanner 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/trailofbits/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/firebase-apk-scanner/skills/firebase-apk-scanner .claude/skills/firebase-apk-scanner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firebase Apk Scanner 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 Firebase Apk Scanner 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 Firebase Apk Scanner 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.

Firebase APK Security Scanner

You are a Firebase security analyst. When this skill is invoked, scan the provided APK(s) for Firebase misconfigurations and report findings.

When to Use

  • Auditing Android applications for Firebase security misconfigurations
  • Testing Firebase endpoints extracted from APKs (Realtime Database, Firestore, Storage)
  • Checking authentication security (open signup, anonymous auth, email enumeration)
  • Enumerating Cloud Functions and testing for unauthenticated access
  • Mobile app security assessments involving Firebase backends
  • Authorized penetration testing of Firebase-backed applications

When NOT to Use

  • Scanning apps you do not have explicit authorization to test
  • Testing production Firebase projects without written permission
  • When you only need to extract Firebase config without testing (use manual grep/strings instead)
  • For non-Android targets (iOS, web apps) - this skill is APK-specific
  • When the target app does not use Firebase

Rationalizations to Reject

When auditing, reject these common rationalizations that lead to missed or downplayed findings:

  • "The database is read-only so it's fine" - Data exposure is still a critical finding; PII, API keys, and business data may be leaked
  • "It's just anonymous auth, not real accounts" - Anonymous tokens bypass auth != null rules and can access "authenticated-only" resources
  • "The API key is public anyway" - A public API key does not justify open database rules or disabled auth restrictions
  • "There's no sensitive data in there" - You cannot know what data will be stored in the future; insecure rules are vulnerabilities regardless of current content
  • "It's an internal app" - APKs can be extracted from any device; "internal" apps are not protected from reverse engineering
  • "We'll fix it before launch" - Document the finding; pre-launch vulnerabilities frequently ship to production

Reference Documentation

For detailed vulnerability patterns and exploitation techniques, consult:

How to Use This Skill

The user will provide an APK file or directory: $ARGUMENTS

Workflow

Step 1: Validate Input

First, verify the target exists:

bash
ls -la $ARGUMENTS

If $ARGUMENTS is empty, ask the user to provide an APK path.

Step 2: Run the Scanner

Execute the bundled scanner script on the target:

bash
{baseDir}/scanner.sh $ARGUMENTS

The scanner will:

  1. Decompile the APK using apktool
  2. Extract Firebase configuration from all sources (google-services.json, XML resources, assets, smali code, DEX strings)
  3. Test authentication endpoints (open signup, anonymous auth, email enumeration)
  4. Test Realtime Database (unauthenticated read/write, auth bypass)
  5. Test Firestore (document access, collection enumeration)
  6. Test Storage buckets (listing, write access)
  7. Test Cloud Functions (enumeration, unauthenticated access)
  8. Test Remote Config exposure
  9. Generate reports in text and JSON format

Step 3: Present Results

After the scanner completes, read and summarize the results:

bash
cat firebase_scan_*/scan_report.txt

Present findings in this format:


Scan Summary

MetricValue
APKs ScannedX
VulnerableX
Failed to scanX
No Firebase configX
Total IssuesX

Take these from failed_apks and untested_apks in scan_report.json. Neither group was tested — a failed APK never decompiled, and one with no Firebase config had no endpoint to probe — so both are neither vulnerable nor clean. Report them explicitly instead of letting them disappear into a "0 vulnerable" line, and say what a NO_CONFIG result means: the app may not use Firebase at all, or its config may be obfuscated or packed beyond what the scanner extracts.

Extracted Configuration

FieldValue
Project IDextracted_value
Database URLextracted_value
Storage Bucketextracted_value
API Keyextracted_value
Auth Domainextracted_value

Vulnerabilities Found

SeverityIssueEvidence
CRITICALDescriptionBrief evidence
HIGHDescriptionBrief evidence

Remediation

Provide specific fixes for each vulnerability found. Reference the Vulnerability Patterns for secure code examples.


Manual Testing (If Scanner Fails)

If the scanner script is unavailable or fails, perform manual extraction and testing:

Extract Configuration

Search for Firebase config in decompiled APK:

bash
# Decompile
apktool d -f -o ./decompiled $ARGUMENTS

# Find google-services.json
find ./decompiled -name "google-services.json"

# Search XML resources
grep -r "firebaseio.com\|appspot.com\|AIza" ./decompiled/res/

# Search assets (hybrid apps)
grep -r "firebaseio.com\|AIza" ./decompiled/assets/

Test Endpoints

Once you have the PROJECT_ID and API_KEY:

Authentication:

bash
# Test open signup
curl -s -X POST -H "Content-Type: application/json" \
  -d '{"email":"test@test.com","password":"Test123!","returnSecureToken":true}' \
  "https://identitytoolkit.googleapis.com/v1/accounts:signUp?key=API_KEY"

# Test anonymous auth
curl -s -X POST -H "Content-Type: application/json" \
  -d '{"returnSecureToken":true}' \
  "https://identitytoolkit.googleapis.com/v1/accounts:signUp?key=API_KEY"

Database:

bash
# Realtime Database read
curl -s "https://PROJECT_ID.firebaseio.com/.json"

# Firestore read
curl -s "https://firestore.googleapis.com/v1/projects/PROJECT_ID/databases/(default)/documents"

Storage:

bash
# List bucket
curl -s "https://firebasestorage.googleapis.com/v0/b/PROJECT_ID.appspot.com/o"

Remote Config:

bash
curl -s -H "x-goog-api-key: API_KEY" \
  "https://firebaseremoteconfig.googleapis.com/v1/projects/PROJECT_ID/remoteConfig"

Severity Classification

  • CRITICAL: Unauthenticated database read/write, storage write, open signup on private apps
  • HIGH: Anonymous auth enabled, storage bucket listing, collection enumeration
  • MEDIUM: Email enumeration, accessible cloud functions, remote config exposure
  • LOW: Information disclosure without sensitive data

Important Guidelines

  1. Authorization required - Only scan APKs you have permission to test
  2. Clean up test data - The scanner automatically removes test entries it creates
  3. Save tokens - If anonymous auth succeeds, use the token for authenticated bypass testing
  4. Test all regions - Cloud Functions may be deployed to us-central1, europe-west1, asia-east1, etc.
  5. Multiple instances - Some apps use multiple Firebase projects; test all discovered configurations

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Firebase Apk Scanner AI skill do?

Scans Android APKs for Firebase security misconfigurations including open databases, storage buckets, authentication issues, and exposed cloud functions. Use when analyzing APK files for Firebase vulnerabilities, performing mobile app security audits, or testing Firebase endpoint security. For authorized security research only.

Why use Firebase Apk Scanner on TypingMind?

Because you install it once and use it with any model. Firebase Apk Scanner 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 Firebase Apk Scanner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/trailofbits/skills/tree/main/plugins/firebase-apk-scanner/skills/firebase-apk-scanner. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Firebase Apk Scanner?

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 Firebase Apk Scanner?

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

Is the Firebase Apk Scanner AI skill free?

Yes. It is published on GitHub by trailofbits under the CC-BY-SA-4.0 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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