跳到正文
cccskills
免费在 GitHub 公开

firebase-apk-scanner

Scan Android APK files for Firebase configuration and access-control weaknesses in databases, storage, authentication, and cloud functions. Produce text and JSON reports with evidence, severity ratings, and suggested fixes for authorized security assessments.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

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.

集成工具Firebase
查看安装方法

适用场景

  • Auditing Firebase security in Android apps
  • Checking unauthenticated database access
  • Testing storage listing and write permissions
  • Checking authentication and Cloud Functions exposure
  • Reviewing findings and remediation suggestions

包含的文件(6)

  • SKILL.md6.6 KB
  • agents/openai.yaml238 B
  • assets/trail-of-bits-mark.svg3.0 KB
  • references/manual-fallback.md1.5 KB
  • references/vulnerabilities.md20.5 KB
  • scanner.sh51.0 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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:

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:

{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 scan_report.json (and scan_report.txt for the narrative) in the exact directory it printed as Results saved to:. Do not use a firebase_scan_* glob: it also matches every earlier scan in the current directory.

The scanner exits nonzero after writing its report when no APK could be tested (every APK failed to decompile or had no Firebase config). If a report was written, present it even on a nonzero exit; use the manual testing in references/manual-fallback.md only when no report exists.

State what the scanner did not cover: it probes Cloud Functions only in us-central1, and tests auth, Cloud Functions and Remote Config only for the first project ID and API key it extracted.

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)

Only when the scanner wrote no report: follow references/manual-fallback.md.

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

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Build and test code with AddressSanitizer, a tool that detects invalid memory access during execution. Configure checks for C/C++ and unsafe Rust, investigate crash reports, and adjust settings for fuzzing, or testing with generated inputs.

中文简介正在准备中。当前显示英语简介。

  • Detect memory errors while fuzzing C/C++
  • Test unsafe Rust and calls to external libraries
  • Interpret an ASan crash report
trailofbits/skills76382026年10月16日 更新

aflpp

免费

Sets up AFL++ to test C/C++ programs with varied generated inputs, a technique called fuzzing. Covers running tests across CPU cores, monitoring progress, reducing input collections, and reproducing crashes for investigation.

中文简介正在准备中。当前显示英语简介。

  • Running C/C++ fuzzing across multiple CPU cores
  • Exploring further after libFuzzer progress stalls
  • Monitoring fuzzing progress and stability
trailofbits/skills76382026年10月16日 更新

Audits GitHub Actions workflows that run AI coding agents. Traces how attacker-controlled content reaches prompts, checks permissions and sandbox settings, and reports evidence, severity, and fixes for prompt injection and related configuration risks.

中文简介正在准备中。当前显示英语简介。

  • Reviewing workflows that run AI coding agents
  • Tracing issue and PR content into agent prompts
  • Checking sandbox settings and user allowlists
trailofbits/skills76382026年10月16日 更新

Reviews Algorand smart contracts written in TEAL or PyTeal for 11 vulnerability patterns. Produces a complete coverage table and findings with code references, severity ratings, and suggested fixes, with optional automated checks using Tealer.

中文简介正在准备中。当前显示英语简介。

  • Security checks before an Algorand contract audit
  • Reviewing TEAL or PyTeal transaction validation
  • Verifying fixes for reported vulnerabilities
trailofbits/skills76382026年10月16日 更新

atheris

免费

Set up Atheris to test Python code and C extensions with automatically varied inputs. It guides test harness creation, coverage tracking to explore more code, and AddressSanitizer setup for finding memory errors.

中文简介正在准备中。当前显示英语简介。

  • Fuzzing a Python package or parser
  • Investigating memory corruption in Python C extensions
  • Turning raw bytes into typed test arguments
trailofbits/skills76382026年10月16日 更新

Connect static analysis results and human audit notes to a Trailmark code graph. Group findings by severity and compare them with input flow, impact, and privilege boundaries to prioritize investigation and understand findings in their code context.

中文简介正在准备中。当前显示英语简介。

  • Connecting Semgrep or CodeQL results to code structure
  • Combining human audit notes with automated findings
  • Prioritizing findings using input flow and impact
trailofbits/skills76382026年10月16日 更新

查看 trailofbits 的全部技能

报告此技能的问题