jeb-samplecode/plugins/scripts/JOptSamplePython.py at master · pnfsoftware/jeb-samplecode · GitHub

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#?type=dexdec-ast

from com.pnfsoftware.jeb.core.units.code.java import AbstractJOptimizer

'''

Skeleton for an Java Abstract Syntax Tree (AST) optimizer plugin for dexdec, JEB's DEX/Dalvik Decompiler.

This Python plugin is executed during the decompilation pipeline of a method.

How to use:

- Drop this file in your JEB's coreplugins/scripts/ sub-directory

- Make sure to have the setting `.LoadPythonPlugins = true` in your JEB's bin/jeb-engines.cfg file

For additional information regarding dexdec AST optimizer plugins, refer to:

- the Manual (www.pnfsoftware.com/jeb/manual)

- the API documentation: https://www.pnfsoftware.com/jeb/apidoc/reference/com/pnfsoftware/jeb/core/units/code/java/package-summary.html

'''

class JOptSamplePython(AbstractJOptimizer):

# note: Python script optimizers are singleton instances!

# the engine will instantiate and provide a single instance for all decompilation threads

# therefore, if you are using object attributes, make sure to provide support for concurrency

# (this restriction does not apply to Java script optimizers, as well as full-blown jar optimizers;

# each decompilation thread has its own unique instance of such optimizer objects)

# for this reason (as well as others), moderately complex AST optimizers should be written in Java

def __init__(self):

# default super constructor is called, will set the plugin type to NORMAL (see JOptimizerType constant)

self.logger.debug('DexDecASTOptimizerSample: instantiated')

def perform(self):

# commonly needed objects for AST optimizers are provided as attributes AbstractJOptimizer and sub-classes

# if the optimizer is about to work on a IJavaMethod, the AST method object is in attribute `m`

# if the optimizer is about to work on a IJavaClass, the AST class object is in attribute `c`

# another commonly used class by IR optimizers is JUtil, containing many utitily routines to access and manipulate the AST

# more: refer to the API documentation

# UNCOMMENT: message the developer

#self.logger.debug('DexDecASTOptimizerSample: executed')

# if a value >0 is returned, the decompiler will assume that AST is being transformed and this AST optimizer will be called again

return 0 # no optimization is performed