Svc Mobile Android logo

Svc Mobile Android

Community
s0ld13rr
svc-mobile-android

Android APK static analysis — OWASP Mobile Top 10, Retrofit API audit, transport security, smali reading, component export, auth flow analysis. Use when target is an APK/Android app. Triggers - APK, Android, mobile app, decompiled, smali, jadx, apktool.

Overview

Publishers0ld13rr
Repositorypentestcode
Skill namesvc-mobile-android
Stars
834
Forks
131
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 s0ld13rr on GitHub. Read the source before you install it.

Installation

Install the Svc Mobile Android 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.
    https://github.com/s0ld13rr/pentestcode/tree/main/skills/services/mobile-android
  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/s0ld13rr/pentestcode.git /tmp/pentestcode
mkdir -p .claude/skills
cp -r /tmp/pentestcode/skills/services/mobile-android .claude/skills/svc-mobile-android
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Svc Mobile Android 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 Svc Mobile Android 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 Svc Mobile Android 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.

Android APK Static Analysis — Full Methodology

Load this skill when the target is an Android APK (decompiled or not). This covers SAST — for dynamic testing (Frida, MITM), combine with playbook-webapp.

Task Decomposition — MANDATORY

An APK audit is NOT one grep job. Decompose into these independent tasks (run in parallel):

  1. API Security Audit — read ALL Retrofit/API interface files, find sensitive data in URLs
  2. Transport Security — network_security_config, certificate pinning, cleartext
  3. Auth Flow Analysis — full auth chain, session management, token handling
  4. Component Security — exported activities/receivers/providers/services, intent filters, deep links
  5. Build Hygiene — debug flags, dev tools in production, staging endpoints, logging
  6. Secrets & Crypto — hardcoded keys (but FILTER non-issues — see Known Non-Vulns below)
  7. Data Storage — SharedPreferences, Room/SQLite, file storage, backup flags
  8. Root/Tamper Detection — what's present AND what's MISSING

How to Read Decompiled Code

Smali basics (you'll see this from apktool/baksmali)

.method public someMethod(Ljava/lang/String;)V   # method signature
invoke-virtual {v0}, Lcom/example/Foo;->bar()V    # method call
const-string v1, "hardcoded_value"                # string constant
sget-object v0, Lcom/example/Config;->API_KEY:Ljava/lang/String;  # static field

Retrofit annotations in smali (THE most important pattern)

smali
# @GET("endpoint") — HTTP method + path
.annotation runtime Lretrofit2/http/GET;
    value = "auth/password"
.end annotation

# @Query("password") — parameter goes in URL query string!
.annotation runtime Lretrofit2/http/Query;
    value = "password"
.end annotation

# @QueryMap — ALL params go in URL query string!
.annotation runtime Lretrofit2/http/QueryMap;
.end annotation

# @Body — parameter goes in request body (SAFE)
.annotation runtime Lretrofit2/http/Body;
.end annotation

# @Field — parameter goes in form body (SAFE)
.annotation runtime Lretrofit2/http/Field;
    value = "password"
.end annotation

# @Header — parameter sent as HTTP header
.annotation runtime Lretrofit2/http/Header;
    value = "Authorization"
.end annotation

CRITICAL CHECK: Any @Query/@QueryMap on a POST/PUT that carries sensitive data (password, PIN, OTP, token) = CRITICAL finding. Sensitive data in URL is logged everywhere (server access logs, proxies, CDNs, browser history, HTTP interceptors).

Jadx output (Java-like, easier to read)

java
@POST("auth/password")
Call<AuthResponse> login(@QueryMap Map<String, String> params);
// ^ This means login credentials go in URL query string = CRITICAL

Checklist: OWASP Mobile Top 10

M1: Improper Platform Usage

  • Exported components without permission protection
  • Deep links with sensitive actions (password reset, transfers)
  • Content providers with grant-uri-permissions or no read/write permission
  • Intent filters on activities that handle sensitive data
  • android:debuggable="true" in manifest
  • android:allowBackup="true" (data extractable via ADB)
  • android:usesCleartextTraffic="true"
bash
grep -r 'exported="true"' resources/AndroidManifest.xml
grep -r 'android:debuggable' resources/AndroidManifest.xml
grep -r 'allowBackup' resources/AndroidManifest.xml

M2: Insecure Data Storage

  • Sensitive data in SharedPreferences (tokens, passwords, PII)
  • Unencrypted SQLite/Room databases with sensitive data
  • Sensitive data in external storage
  • Logging of sensitive data (Log.d/Log.i with tokens/credentials)
bash
# SharedPreferences usage
grep -rn "SharedPreferences\|getSharedPreferences\|PreferenceManager" sources/
# Logging sensitive data
grep -rn "Log\.\(d\|i\|v\|w\|e\)" sources/ | grep -i "token\|password\|secret\|key\|auth"
# External storage
grep -rn "getExternalStorage\|EXTERNAL_STORAGE\|Environment.getExternalStorageDirectory" sources/

M3: Insecure Communication

  • Certificate pinning — check network_security_config.xml for <pin-set> elements
  • Cleartext traffic — cleartextTrafficPermitted should be false
  • Custom TrustManager — accepting all certs (X509TrustManager with empty checkServerTrusted)
  • HostnameVerifier — custom verifier that always returns true
  • WebView — setMixedContentMode(MIXED_CONTENT_ALWAYS_ALLOW)
bash
# Certificate pinning
grep -r "pin-set\|CertificatePinner\|sha256/" resources/ sources/
# Trust all certs
grep -rn "X509TrustManager\|checkServerTrusted\|TrustAllCerts\|ALLOW_ALL" sources/
# Hostname verifier bypass
grep -rn "HostnameVerifier\|ALLOW_ALL_HOSTNAME_VERIFIER\|verify.*return true" sources/

M4: Insecure Authentication

  • Auth credentials in URL query params (@Query/@QueryMap on auth endpoints)
  • Biometric auth without server-side validation (local-only bypass)
  • Hardcoded credentials (admin/password patterns in code)
  • Token storage (where is the auth token kept? SharedPrefs? Encrypted?)
  • Session timeout — is there an expiry? Auto-logout?
  • PIN/pattern stored locally (hash vs plaintext)
bash
# Find all API interface files (Retrofit)
find sources/ -name "*Api*" -o -name "*Service*" -o -name "*Endpoint*" | grep -i "\.java$\|\.smali$"
# Query params on auth
grep -A5 "@Query\|@QueryMap" sources/ | grep -B2 -i "password\|pin\|otp\|sms\|token\|secret"

M5: Insufficient Cryptography

  • Hardcoded encryption keys/IVs
  • ECB mode (patterns leak through encryption)
  • MD5/SHA1 for security-critical operations
  • Custom crypto implementations
  • Weak key derivation (no PBKDF2/bcrypt/scrypt)
bash
grep -rn "AES/ECB\|DES\|RC4\|Cipher.getInstance" sources/
grep -rn "MessageDigest.getInstance.*MD5\|MessageDigest.getInstance.*SHA-1" sources/
grep -rn "SecretKeySpec\|IvParameterSpec" sources/ | grep -i "hardcoded\|static\|final"

M6: Insecure Authorization

  • Client-side authorization checks only (role checks in app, not server)
  • IDOR — predictable/sequential IDs in API calls (transfer confirm by ID)
  • Missing server-side validation on state transitions
bash
# Find operations that use simple IDs
grep -rn '@Query("id")\|@Path("id")' sources/

M7: Client Code Quality

  • Debug code in production (WebView debugging, Chucker, Stetho, LeakCanary, Flipper)
  • Development/staging endpoints in production code
  • Verbose error messages exposing internal details
  • Test accounts or bypass codes
bash
# Debug tools in production
grep -rn "setWebContentsDebuggingEnabled\|ChuckerInterceptor\|Stetho\|LeakCanary\|Flipper" sources/
# Dev/staging URLs
grep -rn "staging\|\.dev/\|localhost\|10\.0\.\|192\.168\.\|debug" sources/ resources/

M8: Code Tampering

  • Root/jailbreak detection (RootBeer, custom checks for su, Superuser.apk)
  • Frida/Xposed detection
  • Emulator detection (how robust? Package name checks only = weak)
  • Integrity verification (SafetyNet/Play Integrity, PairIP)
  • Debugger detection (anti-debug techniques)
bash
# Root detection
grep -rn "RootBeer\|isRooted\|/system/app/Superuser\|/system/xbin/su\|test-keys" sources/
# Frida detection
grep -rn "frida\|xposed\|substrate\|Magisk" sources/
# Emulator detection
grep -rn "generic\|goldfish\|sdk_gphone\|emulator\|genymotion\|bluestacks" sources/

M9: Reverse Engineering

  • Obfuscation level (ProGuard/R8/DexGuard)
  • Native code protection (if any)
  • String encryption

M10: Extraneous Functionality

  • Admin/debug endpoints accessible from client
  • Hidden features triggered by config flags
  • Logging/analytics sending sensitive data

Build Artifact Forensics

Dagger/Hilt DI Graph

Read the DI component files to find what's wired into the app:

bash
# Find DI modules
find sources/ -name "*Module*" -o -name "*Component*" | grep -i "dagger\|hilt\|di\|inject"
# Look for interceptors in OkHttp chain
grep -rn "Interceptor\|addInterceptor\|addNetworkInterceptor" sources/

Chucker/Stetho/Flipper interceptors in the OkHttp chain = HIGH (logs all HTTP traffic).

Network Configuration Analysis

bash
# Full network security config
cat resources/res/xml/network_security_config.xml
# Check for domain-config entries (dev/staging domains?)
grep -r "domain-config\|includeSubdomains\|cleartextTrafficPermitted" resources/

Permission Audit

Map each permission to its justification. Flag excessive:

  • READ_CONTACTS / READ_CALL_LOG — legitimate for banking?
  • QUERY_ALL_PACKAGES — anti-emulator, but privacy concern
  • RECORD_AUDIO — voice banking or unnecessary?
  • ACCESS_FINE_LOCATION — branch locator or tracking?

API Surface Mapping — MANDATORY for Banking Apps

Read ALL Retrofit API interface files and build a complete endpoint map:

bash
# Find all API interfaces
find sources/ -name "*Api*" | grep -v "test\|mock\|fake"
# Extract HTTP methods and paths
grep -rn "@GET\|@POST\|@PUT\|@PATCH\|@DELETE\|@HTTP" sources/

For each endpoint, note:

  • HTTP method + path
  • How params are passed (@Query = URL, @Body = body, @Field = form)
  • Auth mechanism (header token? cookie?)
  • Sensitive data exposure

Endpoints to focus on: auth, transfers, payments, password management, profile changes.

Known Non-Vulnerabilities (FALSE POSITIVES — do NOT report as findings)

These are NOT findings — downgrade to INFO or skip:

  • Firebase/Google API keys in resources — required client-side, public by design
  • Google Maps API key — public, restricted by package name
  • reCAPTCHA site key — public by design (appears in HTML on every reCAPTCHA page)
  • GCM/FCM sender ID, OneSignal app ID — public identifiers
  • RSA/EC public keys for pinning/license/JWT verification — public by definition
  • Package name, version code, build config — not secrets
  • Obfuscated class names — obfuscation is defense, not a vuln

These BECOME findings only when:

  • API key grants server-side write access (Firebase Storage write, Firestore admin) — TEST IT
  • OneSignal REST API is unprotected (attempt notification send)
  • Firebase DB/Storage has open rules (check /.json and storage URL)

Impact Chaining — Connect Findings

After individual checks, chain findings for combined impact:

  • No pinning + sensitive data in URL = MITM intercepts passwords in plaintext
  • Chucker + passwords in URL = passwords logged in app's local DB
  • No root detection + local token storage = trivial token extraction on rooted device
  • Exported activity + deep link = intent hijacking to sensitive screens
  • IDOR + valid session = unauthorized access to other users' data

Recording Findings

For each finding, call state_update add_vuln with:

  • severity: use the chained impact, not individual
  • evidence: exact file:line or smali path + the relevant code/annotation
  • status: "confirmed" for code-level findings (they're deterministic, no FP risk)
  • description: what it is + WHY it matters + what an attacker can do

For absence findings (no pinning, no root detection): still record as vuln — the absence IS the finding. Evidence = "searched for X in all sources/resources, not found."

Frequently asked questions

What does the Svc Mobile Android AI skill do?

Android APK static analysis — OWASP Mobile Top 10, Retrofit API audit, transport security, smali reading, component export, auth flow analysis. Use when target is an APK/Android app. Triggers - APK, Android, mobile app, decompiled, smali, jadx, apktool.

Why use Svc Mobile Android on TypingMind?

Because you install it once and use it with any model. Svc Mobile Android 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 Svc Mobile Android in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/s0ld13rr/pentestcode/tree/main/skills/services/mobile-android. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Svc Mobile Android?

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 Svc Mobile Android?

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

Is the Svc Mobile Android AI skill free?

Yes. It is published on GitHub by s0ld13rr 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇