BinaryNinja-OpenAI

Integrates OpenAI's GPT3 with Binary Ninja via a plugin and currently supports two actions:

• Queries OpenAI to determine what a given function does (in Pseudo-C and HLIL).
  • The results are logged to Binary Ninja's log to assist with RE.
• Allows users to rename variables in HLIL using OpenAI.
  • Variable are renamed immediately and the decompiler is reloaded.

Installation

If you're installing this as a standalone plugin, you can place (or sym-link) this in Binary Ninja's plugin path. Default paths are detailed on Vector 35's documentation.

This plugin has been tested on macOS and Linux. It probably works on Windows; please submit a pull request if you've tested it.

Dependencies

• Python 3.10+
• openai installed with pip3 install --user openai

API Key

This requires an API token from OpenAI. The plugin checks for the API key in three ways (in this order).

First, it tries to read the key from Binary Ninja's preferences. You can access the entry in Binary Ninja via Edit > Preferences > Settings > OpenAI. Or, use the hotkey ⌘+, and search for OpenAI. You should see customizable settings like so.

Second, it checks the environment variable OPENAI_API_KEY, which you can set inside of Binary Ninja's Python console like so:

import os
os.environ["OPENAI_API_KEY"] = "INSERT KEY HERE"

Or you can write it to a file. The file is set in entry.py and is a parameter to the Agent class. By default it checks for the file ~/.openai/api_key.txt. You can add your API token like so:

mkdir ~/.openai
echo -n "INSERT KEY HERE" > ~/.openai/api_key.txt

Note that if you have all three set, the plugin defaults to one set in Binary Ninja. If your API token is invalid, you'll receive the following error:

openai.error.AuthenticationError: Incorrect API key provided: <BAD KEY HERE>.
You can find your API key at https://beta.openai.com.

Usage

What Does this Function Do?

After installation, you can right-click on any function in Binary Ninja and select Plugins > OpenAI > What Does this Function Do (HLIL/Pseudo-C)?. Alternatively, select a function in Binary Ninja (by clicking on any instruction in the function) and use the menu bar options Plugins > OpenAI > .... If your cursor has anything else selected other than an instruction inside a function, OpenAI will not appear as a selection inside the Plugins menu. This can happen if you've selected data or instructions that Binary Ninja determined did not belong inside of the function. Additionally, the HLIL options are context sensitive; if you're looking at the decompiled results in LLIL, you will not see the HLIL options; this is easily fixed by changing the user view to HLIL (Pseudo-C should always be visible).

The output will appear in Binary Ninja's Log like so:

Renaming Variables

I feel like half of reverse engineering is figuring out variable names (which in-turn assist with program understanding). This plugin is an experimental look to see if OpenAI can assist with that. Right click on an instruction where a variable is initialized and select OpenAI > Rename Variable (HLIL). Watch the magic happen. Here's a quick before-and-after.

Renaming variables only works on HLIL instructions that are initializations (ie. HighLevelILVarInit). You might also want this to support assignments (HighLevelILAssign), but I did not get great results with this. Most of the responses were just result. If your experience is different, please submit a pull request.

OpenAI Model

By default, the plugin uses the text-davinci-003 model, you can tweak this inside Binary Ninja's preferences. You can access these settings as described in the API Key section. It uses the maximum available number of tokens for each model, as described in OpenAI's documentation.

Known Issues

Please submit an issue if you find something that isn't working properly.

License

This project is licensed under the MIT license.