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Binary Ninja Backend

Install

Binary Ninja is not distributed with OFRAK. Instead, if a license is present, the Docker build step will run the official headless installer using the provided license. You need to have a valid BinaryNinja license to build and run the image. For more details, read about the environment setup.

To make this backend available to OFRAK, the Docker container should be run with the same license file from the installation step. The license can then be mounted into the Docker container at location /root/.binaryninja/license.dat by adding the following arguments to the docker run command:

--mount type=bind,source="$(pwd)"/license.dat,target=/root/.binaryninja/license.dat 

For example:

# This simple command...
docker run -it redballoonsecurity/ofrak/binary-ninja bash

# ...becomes the following. Notice the --mount
docker run \
  -it \
  --mount type=bind,source="$(pwd)"/license.dat,target=/root/.binaryninja/license.dat \
  redballoonsecurity/ofrak/binary-ninja \
  bash

Usage

To use Binary Ninja, you need to discover the components at setup-time with:

ofrak = OFRAK(logging.INFO)
ofrak.injector.discover(ofrak_binary_ninja)

Warning

You can only use one of these analysis backends at a time (angr OR Binary Ninja OR Ghidra)

Binary Ninja auto-analysis

Using Binary Ninja auto-analysis is transparent after the components are discovered, you don't have to do anything!

Manually-analyzed program import

If Binary Ninja auto-analysis doesn't match the expected analysis of a file, you can manually process the file in the Binary Ninja desktop application and apply any manual patch of the analysis. Then export a Binary Ninja DataBase file (.bndb).

You will need both your original file (<file_path>) and the Binary Ninja DataBase (<bndb_file_path>) in the ofrak script.

Define a BinaryNinjaAnalyzerConfig and manually run the BinaryNinjaAnalyzer:

async def main(ofrak_context: OFRAKContext,):
    resource = await ofrak_context.create_root_resource_from_file(<file_path>)
    binary_ninja_config = BinaryNinjaAnalyzerConfig(<bndb_file_path>)
    await resource.run(BinaryNinjaAnalyzer, binary_ninja_config)


if __name__ == "__main__":
    ofrak = OFRAK(logging.INFO)
    ofrak.injector.discover(ofrak_binary_ninja)
    ofrak.run(main)

Documentation

Binary Ninja User Documentation

Binary Ninja Python API code

Troubleshooting

You can test python code in the interactive python console available in the Binary Ninja desktop application. Enable it with View -> Native Docks -> Show Python Console (on Mac).