OverHAuL

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Unleash the fuzz on your C codebase.

OverHAuL 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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<h1 align="center">OverHAuL</h1>

Improve your code security one harness at a time.

</div>

**OverHAuL** (*Harness Automation with LLMs*) is a system for automatically generating libFuzzer-compatible harnesses for C projects using ReAct-style LLM agents. It iteratively builds harnesses tailored for effective fuzzing through tool-assisted reasoning — all without manual intervention. OverHAuL's goal is to make fuzzing accessible and immediate, reducing friction and accelerating the path to safer software.

## Installation

### Dependencies

- Python >=3.10

### Installation Steps

1. Clone the repository and cd into it:

```bash
    git clone https://github.com/kchousos/overhaul.git;
    cd overhaul
    ```

2. Create a virtual environment (optional):

```bash
    python3.10 -m venv .venv;
    source .venv/bin/activate # for bash
    ```

3. Install the project:

```bash
    pip install .
    ```

## Usage

1. Add an OpenAI API key in `.env`, such as:

```bash
    # cat .env
    OPENAI_API_KEY=<API-key-here>
    ```
    
    Or export it as an environment variable:

```bash
    export OPENAI_API_KEY=<API-key-here>
    ```

2. Execute the main script:

```bash
    overhaul <repo-link>
    ```

The cloned repo with the newly generated harness can be found in the `output/` directory.

### Command-Line Options

```
$ overhaul --help
usage: overhaul [-h] [-c COMMIT] [-m MODEL] [-f FILES [FILES ...]] [-o OUTPUT_DIR] repo

Generate fuzzing harnesses for C/C++ projects

positional arguments:
  repo                  Link of a project's git repo, for which to generate a harness.

options:
  -h, --help            show this help message and exit
  -c COMMIT, --commit COMMIT
                        A specific commit of the project to check out
  -m MODEL, --model MODEL
                        LLM model to be used. Available: o3-mini, o3, gpt-4o, gpt-4o-mini, gpt-4.1, gpt-4.1-mini
  -f FILES [FILES ...], --files FILES [FILES ...]
                        File patterns to include in analysis (e.g. *.c *.h)
  -o OUTPUT_DIR, --output-dir OUTPUT_DIR
                        Directory to clone the project into. Defaults to output
```

## Acknowledgments

This project was developed as part of my BSc Thesis, under the supervision of Prof. [Thanassis Avgerinos](https://cgi.di.uoa.gr/~thanassis/). The thesis is [hosted online](https://kchousos.github.io/BSc-Thesis/).

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