Manual Deobfuscation

Android De-obfuscation Skill

A comprehensive guide for de-obfuscating Android applications using both manual techniques and modern LLM-powered automation.

When to Use This Skill

Use this skill when:

• You have an obfuscated Android APK that needs analysis
• Strings appear encrypted or missing from decompiled code
• You encounter control-flow flattening or virtualization
• You need to extract runtime-decrypted values without running the app
• You're analyzing malware or suspicious Android applications
• Decompiled code has meaningless identifiers (a, b, c, method_1, etc.)

Quick Start

1. Identify Obfuscation Indicators

First, check for common obfuscation patterns:

# Check for missing/scrambled strings
strings app.apk | grep -i "http\|url\|api\|key" | head -20

# Look for DexClassLoader (dynamic loading)
strings app.apk | grep -i "dexclassloader"

# Check for native libraries with unknown JNI functions
unzip -l app.apk | grep -E "lib.*\.so"

# Inspect assets for packed code
unzip -l app.apk | grep -E "assets/.*\.dex|assets/.*\.class"

Key indicators:

• Absence of readable strings in decompiled Java
• Binary files in assets/ directory
• Calls to DexClassLoader or OdinClassLoader
• Native libraries with unidentifiable JNI function names
• Control-flow flattening (opaque switch-case state machines)

2. Decompile the APK

# Using jadx (recommended)
jadx -d decompiled/ target.apk

# Or using apktool for resources
apktool d target.apk -o resources/

3. Choose Your De-obfuscation Strategy

Automated De-obfuscation with Androidmeda

Androidmeda is an LLM-powered tool that automatically renames identifiers, restructures control-flow, and generates security reports.

Installation

git clone https://github.com/In3tinct/Androidmeda
cd Androidmeda
pip3 install -r requirements.txt

Usage

Option A: Remote LLM (Gemini-1.5-flash)

export OPENAI_API_KEY="your_api_key"
python3 androidmeda.py \
  --llm_provider google \
  --llm_model gemini-1.5-flash \
  --source_dir decompiled/ \
  --output_dir deobfuscated/ \
  --save_code true

Option B: Local LLM (Ollama + Llama 3.2)

python3 androidmeda.py \
  --llm_provider ollama \
  --llm_model llama3.2 \
  --source_dir decompiled/ \
  --output_dir deobfuscated/ \
  --save_code true

Output Files

• deobfuscated/vuln_report.json - Security findings with severity levels
• deobfuscated/<package_tree>/ - De-obfuscated Java source files

Tips

• Speed up processing: Trim source_dir to only include app packages you care about
• Handle skipped classes: Isolate problematic packages or update parser regex
• Always review: LLM hallucinations can cause false positives/negatives

Static String Decryption with DaliVM

DaliVM emulates Dalvik bytecode to extract runtime-decrypted values without running the app.

Workflow

1. Identify the decryption method signature (e.g., Lutil/Crypto;->decrypt(Ljava/lang/String;)Ljava/lang/String;)
2. Run emulation to collect return values
3. Review outputs for decrypted strings/configs

Usage

# Basic usage - emulate a decryptor method
python emulate.py app.apk "Lcom/example/Decryptor;->decrypt"

# Verbose mode with debug tracing
python emulate.py app.apk "Lcom/example/Decryptor;->decrypt" -v --debug --limit 10

Finding Method Signatures

# Search for potential decryptor methods in decompiled code
grep -r "decrypt\|decode\|obfusc" decompiled/ | grep "public\|private" | head -20

# Look for string manipulation patterns
grep -r "String\|byte\[\]" decompiled/ | grep -E "for\(|while\(" | head -20

Capabilities

• Emulates 120+ Dalvik opcodes
• Mocks Android APIs (Context, PackageManager, Signature, reflection)
• Handles class initialization (<clinit>)
• Supports multi-DEX analysis
• Traces PC/register changes for debugging

Manual De-obfuscation Techniques

Strategy 1: Replicate De-obfuscation Logic in Java

For DEX bytecode obfuscation:

1. Identify the de-obfuscation method in the decompiled code
2. Copy the logic into a standalone Java file
3. Execute to reverse obfuscation on target elements

// Example: Replicate string decryption
public class Decryptor {
    public static String decrypt(String encrypted) {
        // Copy the exact logic from the obfuscated app
        // This runs the de-obfuscation algorithm
        return decryptedString;
    }
}

Strategy 2: Translate to Python

For complex algorithms, translate to Python for easier debugging:

# Example: Translate obfuscation algorithm
def decrypt_string(encrypted_bytes, key):
    # Replicate the algorithm logic
    result = []
    for i, byte in enumerate(encrypted_bytes):
        decrypted = byte ^ key[i % len(key)]
        result.append(chr(decrypted))
    return ''.join(result)

Key principle: You don't need to fully understand the algorithm—just execute it correctly.

Dynamic Analysis for De-obfuscation

When static analysis fails, use dynamic analysis to observe runtime behavior.

Runtime Decryption Capture

# Using Frida to hook string decryption
frida -U -f com.example.app -l hook_decrypt.js --no-pause

# hook_decrypt.js example:
/*
var decrypt = Module.findExportByName("libcrypto.so", "decrypt_string");
Interceptor.attach(decrypt, {
    onEnter: function(args) {
        console.log("Decrypt called with:", Memory.readUtf8String(args[0]));
    },
    onLeave: function(retval) {
        console.log("Decrypted:", Memory.readUtf8String(retval));
    }
});
*/

What Dynamic Analysis Reveals

• Runtime-decrypted strings: Captured at the moment of decryption
• Obfuscation techniques: Code virtualization, packers, dynamic code generation
• Hidden functionality: Conditionally executed code paths
• Anti-analysis behavior: Detection of emulators, debuggers, root

Practical Workflow

Step-by-Step Analysis

1. Initial Reconnaissance

   # Quick scan for obfuscation indicators
   ./scripts/identify-obfuscation.sh target.apk
   

2. Decompile

   jadx -d decompiled/ target.apk
   

3. Automated De-obfuscation (if available)

   ./scripts/run-androidmeda.sh decompiled/ deobfuscated/
   

4. String Extraction (if strings are encrypted)

   ./scripts/run-dalivm.sh target.apk "Lcom/example/Decryptor;->decrypt"
   

5. Manual Review

   • Check vuln_report.json for security findings
   • Review de-obfuscated code for suspicious patterns
   • Cross-reference with dynamic analysis if needed

Malware Triage Checklist

• Extract all decrypted strings
• Identify C2 URLs and API endpoints
• Map call graph to understand functionality
• Check for accessibility API abuse
• Look for hardcoded credentials
• Identify persistence mechanisms
• Document obfuscation techniques used

Common Obfuscation Patterns

References

• Androidmeda GitHub
• DaliVM GitHub
• Android App RE - Obfuscation
• BlackHat USA 2018: "Unpacking the Packed Unpacker"
• REcon 2019: "The Path to the Payload: Android Edition"

Troubleshooting

Androidmeda Issues

• Skipped class: Isolate the package or update parser regex
• Slow runtime: Point --source_dir to specific packages only
• High token usage: Use local LLM or trim input directory

DaliVM Issues

• Execution stalls: Enable opcode-level tracing (-v --debug)
• Missing mocks: Extend API mocks for custom Android calls
• Wrong return values: Verify method signature and arguments

General Issues

• Can't find decryptor: Search for string manipulation patterns in decompiled code
• Native code blocked: Use IDA/Ghidra with Android plugin
• Anti-analysis triggered: Use VM with root disabled or patch detection code