AntiOllvm

December 28, 2024 · View on GitHub

Platform Language

Introduction

AntiOllvm is an Arm64-based simulated execution framework designed to remove OLLVM's flattening obfuscation. By identifying specific patterns, it can reconstruct the complete set of if-else branches, facilitating reverse engineering and analysis.

Table of Contents

Features

  • Arm64 Support: Optimized for Arm64 architectures.
  • Obfuscation Removal: Specifically targets and removes OLLVM's flattening obfuscation.
  • CFG Reconstruction: Rebuilds comprehensive control flow graphs with complete if-else branches.
  • IDA Integration: Seamlessly works with IDA for analysis and rebuilding CFGs.
  • Extensible: Easily customizable analyzer for various use cases.

How To Customize Your Analyzer

Coming Soon...

How to Use

1. Get the CFG Info from the IDA Python Script

Follow these steps to extract the Control Flow Graph (CFG) information using the provided IDA Python script.

# Edit ida_get_cfg.py

def main():
    # Choose your function address
    func_addr = 0x181c6c  # Replace with your function address
    
    # Edit your output file path
    output_file = "C:/Users/PC5000/PycharmProjects/py_ida/cfg_output_" + hex(func_addr) + ".json"

    # Run the script
    # 1. Open IDA
    # 2. Navigate to File -> Script file -> Choose ida_get_cfg.py
    # 3. Check the output file for the CFG information

2. Run AntiOllvm

Execute the AntiOllvm tool with the CFG output.

./AntiOllvm.exe -s cfg_output_xxxx.json

3. Run gen_machine_code.py

Generate the machine code using the provided Python script. This script relies on the Keystone Engine, so ensure it's installed.

1. Install Keystone Engine

pip install keystone-engine

2. Edit gen_machine_code.py:

json_file_path = "fix.json"  # Replace with your fix.json path

3. Run the script:

python gen_machine_code.py

4. Rebuild CFG in IDA

Reconstruct the CFG within IDA using the generated machine code.

# Run the script

# Steps:
1. Open IDA
2. Navigate to File -> Script file -> Choose ida_rebuild_cfg.py
3. Select the output `fix.json` file from `gen_machine_code.py`
4. Enjoy the reconstructed CFG!

How To Build

Clone the repository and build the project using your preferred IDE.

git clone https://github.com/IIIImmmyyy/AntiOllvm.git
  1. Open the project in Rider or Visual Studio.
  2. Build the project.

Additional Resources