Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/mrphrazer/obfuscation_detection

Binary Ninja plugin to identify obfuscated code and other interesting code constructs
https://github.com/mrphrazer/obfuscation_detection

Last synced: 22 days ago
JSON representation

Binary Ninja plugin to identify obfuscated code and other interesting code constructs

Awesome Lists containing this project

README 

        
# Obfuscation Detection (v2.1)

Author: **Tim Blazytko**



_Automatically detect obfuscated code and other interesting code constructs_



## Description:



_Obfuscation Detection_ is a Binary Ninja plugin to detect obfuscated code and interesting code constructs (e.g., state machines) in binaries. Given a binary, the plugin eases analysis by identifying code locations which might be worth a closer look during reverse engineering.



Based on various heuristics, the plugin pinpoints functions that contain complex or uncommon code constructs. Such code constructs may implement



* obfuscated code

* state machines and protocols

* C&C server communication

* string decryption routines

* cryptographic algorithms



The following blog posts provide more information about the underlying heuristics and demonstrate their use cases:



* [Automated Detection of Control-flow Flattening](https://synthesis.to/2021/03/03/flattening_detection.html)

* [Automated Detection of Obfuscated Code](https://synthesis.to/2021/08/10/obfuscation_detection.html)

* [Statistical Analysis to Detect Uncommon Code](https://synthesis.to//2023/01/26/uncommon_instruction_sequences.html)

* [Identification of API Functions in Binaries](https://synthesis.to/2023/08/02/api_functions.html)



Some example use cases can be found in [examples](./examples). Furthermore, the REcon talk ["Unveiling Secrets in Binaries using Code Detection Strategies"](https://cfp.recon.cx/2023/talk/QD8UNJ/) demonstrates some use cases. The slides can be found [here](./presentation/recon23_code_detection.pdf); the recording can be found [here](https://www.youtube.com/watch?v=y95MNr2Xu-g).



## Core Features



* identifies interesting code constructs in large binaries

* highlights disaligned instructions in Binary Ninja's graph view

* efficient and architecture-agnostic implementation

* runs as a background task

* can be used in UI and headless mode



## Installation



The tool can be installed using Binary Ninja's plugin manager.



For the headless version, follow these steps:



```

git clone https://github.com/mrphrazer/obfuscation_detection.git

cd obfuscation_detection



# install obfuscation_detection

pip install .

```



## Usage



The plugin can be used in the user interface and in headless mode.



### User Interface



Choose the index tab `Plugins -> Obfuscation Detection` to run one or more detection heuristics in Binary Ninja's user interface:





Plugin Menu




The results are displayed in the Log window:





Binary Ninja Log




By clicking on the identified function addresses, Binary Ninja navigates to the selected function.



### Headless



To use the plugin in headless mode, run [`scripts/detect_obfuscation.py`](scripts/detect_obfuscation.py):



```

$ python3 scripts/detect_obfuscation.py 

```



## Detection Heuristics



The plugin implements various detection heuristics to detect different code constructs. In the following, we briefly describe the individual heuristics and explain their usage. 



### Large Basic Blocks



The large basic block heuristic identifies the top 10% of functions with the largest average number of instructions per basic block. It allows to detect



* unrolled code

* cryptographic implementations

* initialization routines

* arithmetic obfuscation / Mixed Boolean-Arithmetic



### Complex Functions



To complex functions heuristic identifies the top 10% of functions with the most complex control-flow graphs (based on cyclomatic complexity). It allows to identify



* complex dispatching routines and protocols

* state machines

* functions obfuscated with opaque predicates



### Flattened Functions



The flattened function heuristic uses some graph-theoretic properties to identify functions implementing state machines. Usually, such state machines can be represented as switch statements that are dispatched in a loop. The heuristic allows to identify



* network protocol dispatching

* file parsing logic

* C&C server communication / command dispatching

* control-flow flattening



### Uncommon Instruction Sequences



The uncommon instruction sequences heuristic performs a statistical analysis to identify the top 10% of functions whose code patterns deviate from a pre-computed ground truth. This way, the heuristic allows to identify



* cryptographic implementations

* intense usage of floating point arithmetic

* arithmetic obfuscation / Mixed Boolean-Arithmetic

* generic obfuscation patterns



### Instruction Overlapping



The instruction overlapping heuristic identifies functions with disaligned instructions (instruction bytes are shared by two different instructions). The heuristic identifies



* broken disassembly (e.g., data which is marked as code)

* opaque predicates which jump into other instructions 



If the heuristic is used in Binary Ninja's user interface, overlapping instructions are also highlighted in the graph view.



### Most Called Functions



The heuristic for most called functions identifies the top 10% of functions with the largest number of calls from different functions. This way, the heuristic can identify



* string decryption routines

* library functions in statically linked binaries



### High Loop Frequency



The heuristic identifies functions with a high number of loops. These kind of functions might implement



* a complex parsing logic for structured data formats

* intensive algorithmic computations



The heuristic also helps pinpointing potential performance bottlenecks.



### Irreducible Loops



The heuristic identifies functions with rare and complex loop structures that typically suggest



* aggressive compiler optimizations

* hand-written assembly

* usage of goto statements

* obfuscated code



### XOR Decryption Loops



The heuristic identifies functions which perform an XOR operation with a constant inside of a loop. This way, the heuristic can identify



* string decryption routines

* code decryption stubs

* cryptographic implementations



### Complex Arithmetic Expressions 



The heuristic identifies functions in which the expressions have more than one arithmetic operation and one boolean operation simultaneously. This way, the heuristic can identify



* mixed-boolean arithmetic obfuscation

* initialization routine

* cryptographic implementations



## Utils



Contrary to the detection heuristics which target a wider scope of code, the plugin also implements various helpers which aim to identify functions with a narrower scope. In the following, we describe these helpers and explain their characteristics.



### Entry Functions



This helper identifies functions without known callers. These functions might be 



* entry points in the binary

* indirect jumps targets where the call hierarchy could not be recovered by the disassembler



### Leaf Functions



This helper identifies functions that do not call other functions. These kinds of functions may, for example, be functions that



* are outlined by the compiler to implement functionalities utilized across various code locations

* are trampolines to other functions

* are part of code obfuscation schemes (e.g., outlined computations for control-flow obfuscation)

  



### Section Entropy



This helper evaluates the entropy of each section. Entropy is a statistical measure of randomness with values ranging between 0 and 8. Sections with an entropy close to 8 indicate a high degree of randomness and can hint at:



* packed or compressed code

* encrypted data or code

* random data



### RC4



This helper detects potential RC4 algorithm implementations by employing heuristic markers typically associated with RC4's Key Scheduling Algorithm (KSA) and Pseudo-Random Generation Algorithm (PRGA). RC4 is widely used in malware for purposes such as:



* decrypting strings and other data payloads

* obfuscating command and control (C&C) communications



## Contact



For more information, contact [@mr_phrazer](https://twitter.com/mr_phrazer).