Simplify virtually executes an app to understand its behavior and then tries to optimize the code so that it behaves identically but is easier for a human to understand. Each optimization type is simple and generic, so it doesn't matter what the specific type of obfuscation is used.

Before and After
The code on the left is a decompilation of an obfuscated app, and the code on the right has been deobfuscated.

Overview
There are three parts to the project: smalivm, simplify, and the demo app.

1. smalivm: Provides a virtual machine sandbox for executing Dalvik methods. After executing a method, it returns a graph containing all possible register and class values for every execution path. It works even if some values are unknown, such as file and network I/O. For example, any if or switch conditional with an unknown value results in both branches being taken.
2. simplify: Analyzes the execution graphs from smalivm and applies optimizations such as constant propagation, dead code removal, unreflection, and some peephole optimizations. These are fairly simple, but when applied together repeatedly, they'll decrypt strings, remove reflection, and greatly simplify code. It does not rename methods and classes.
3. demoapp: Contains simple, heavily commented examples for using smalivm in your own project. If you're building something that needs to execute Dalvik code, check it out.

Usage

usage: java -jar simplify.jar <input> [options]
deobfuscates a dalvik executable
 -et,--exclude-types <pattern>   Exclude classes and methods which include REGEX, eg: "com/android", applied after include-types
 -h,--help                       Display this message
 -ie,--ignore-errors             Ignore errors while executing and optimizing methods. This may lead to unexpected behavior.
    --include-support            Attempt to execute and optimize classes in Android support library packages, default: false
 -it,--include-types <pattern>   Limit execution to classes and methods which include REGEX, eg: ";->targetMethod\("
    --max-address-visits <N>     Give up executing a method after visiting the same address N times, limits loops, default: 10000
    --max-call-depth <N>         Do not call methods after reaching a call depth of N, limits recursion and long method chains, default: 50
    --max-executi   on-time <N>     Give up executing a method after N seconds, default: 300
    --max-method-visits <N>      Give up executing a method after executing N instructions in that method, default: 1000000
    --max-passes <N>             Do not run optimizers on a method more than N times, default: 100
 -o,--output <file>              Output simplified input to FILE
    --output-api-level <LEVEL>   Set output DEX API compatibility to LEVEL, default: 15
 -q,--quiet                      Be quiet
    --remove-weak                Remove code even if there are weak side effects, default: true
 -v,--verbose <LEVEL>            Set verbosity to LEVEL, default: 0

Building
Building requires the Java Development Kit 8 (JDK) to be installed.
Because this project contains submodules for Android frameworks, either clone with --recursive:
Or update submodules at any time with:
Then, to build a single jar which contains all dependencies:
The Simplify jar will be in simplify/build/libs/. You can test it's working by simplifying the provided obfuscated example app. Here's how you'd run it (you may need to change simplify.jar):
To understand what's getting deobfuscated, check out Obfuscated App's README.

Troubleshooting
If Simplify fails, try these recommendations, in order:

1. Only target a few methods or classes by using -it option.
2. If failure is because of maximum visits exceeded, try using higher --max-address-visits, --max-call-depth, and --max-method-visits.
3. Try with -v or -v 2 and report the issue with the logs and a hash of the DEX or APK.
4. Try again, but do not break eye contact. Simplify can sense fear.

If building on Windows, and building fails with an error similar to:

Could not find tools.jar. Please check that C:\Program Files\Java\jre1.8.0_151 contains a valid JDK installation.

This means Gradle is unable to find a proper JDK path. Make sure the JDK is installed, set the JAVA_HOME environment variable to your JDK path, and make sure to close and re-open the command prompt you use to build.

Contributing
Don't be shy. I think virtual execution and deobfuscation are fascinating problems. Anyone who's interested is automatically cool and contributions are welcome, even if it's just to fix a typo. Feel free to ask questions in the issues and submit pull requests.

Reporting Issues
Please include a link to the APK or DEX and the full command you're using. This makes it much easier to reproduce (and thus fix) your issue.
If you can't share the sample, please include the file hash (SHA1, SHA256, etc).

Optimization Strategies

Constant Propagation
If an op places a value of a type which can be turned into a constant such as a string, number, or boolean, this optimization will replace that op with the constant. For example:
In this example, an encrypted string is decrypted and placed into v0. Since strings are "constantizable", the move-result v0 can be replaced with a const-string:

Dead Code Removal
Code is dead if removing it cannot possibly alter the behavior of the app. The most obvious case is if the code is unreachable, e.g. if (false) { // dead }). If code is reachable, it may be considered dead if it doesn't affect any state outside of the method, i.e. it has no side effect. For example, code may not affect the return value for the method, alter any class variables, or perform any IO. This is a difficult to determine in static analysis. Luckily, smalivm doesn't have to be clever. It just stupidly executes everything it can and assumes there are side effects if it can't be sure. Consider the example from Constant Propagation:
In this code, the invoke-static no longer affects the return value of the method and let's assume it doesn't do anything weird like write bytes to the file system or a network socket so it has no side effects. It can simply be removed.
Finally, the first const-string assigns a value to a register, but that value is never used, i.e. the assignment is dead. It can also be removed.
Huzzah!

Unreflection
One major challenge with static analysis of Java is reflection. It's just not possible to know the arguments are for reflection methods without doing careful data flow analysis. There are smart, clever ways of doing this, but smalivm does it by just executing the code. When it finds a reflected method invocation such as:
It can know the values of v0, v1, and v2. If it's sure what the values are, it can replace the call to Method.invoke() with an actual non-reflected method invocation. The same applies for reflected field and class lookups.

Peephole
For everything that doesn't fit cleanly into a particular category, there's peephole optimizations. This includes removing useless check-cast ops, replacing Ljava/lang/String;-><init> calls with const-string, and so on.

Deobfuscation Example

Before Optimization
All this does is v0 = 1.

After Constant Propagation
The move-result v0 is replaced with const/4 v0, 0x1. This is because there is only one possible return value for intValue()I and the return type can be made a constant. The arguments v0 and v1 are unambiguous and do not change. That is to say, there's a consensus of values for every possible execution path at intValue()I. Other types of values that can be turned into constants:

• numbers - const/4, const/16, etc.
• strings - const-string
• classes - const-class

After Dead Code Removal
Because the code above const/4 v0, 0x1 does not affect state outside of the method (no side-effects), it can be removed without changing behavior. If there was a method call that wrote something to the file system or network, it couldn't be removed because it affects state outside the method. Or if test()I took a mutable argument, such as a LinkedList, any instructions that accessed it couldn't be considered dead.
Other examples of dead code:

• unreferenced assignments - assigning registers and not using them
• unreached / unreachable instructions - if (false) { dead_code(); }

Further Reading

• Dalvik Virtual Execution with SmaliVM
• Guillot, Yoann, and Alexandre Gazet. "Automatic Binary Deobfuscation." Journal in Computer Virology 6.3 (2010): 261-76
• Unicorn - The ultimate CPU emulator
• Babak Yadegari, Saumya Debray. "Symbolic Execution of Obfuscated Code"
• Success stories:
  • Android Dynamic Class Loading with "AES/CFB/NoPadding" encryption. Take a peek before & after. Tool used: #simplify. #Android #obfuscation #classencryption #dex
  • Decrypting Malware String Encryption