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badger-builder

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badger-builder is an AI-assisted tool for generating dynamic Brute Ratel C4 profiles

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최종 버전 다운로드 (.zip)

- badger-transparent.png
- usage.png
- - __init__.py
  - create.py
  - parse.py
- - __init__.py
  - badgerbuilderai.py
  - utils.py
- __init__.py
- __main__.py
- logger.py
.env.sample
.gitignore
.pre-commit-config.yaml
badger-builder.py
CHANGELOG.md
LICENSE
poetry.lock
pyproject.toml
README.md
requirements.txt

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/Tw1sm/badger-builder

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd badger-builder

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Python

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

poetry install

pyproject.toml에 명시된 라이브러리를 설치합니다.

poetry run badger-builder --help

이 명령어를 터미널에 그대로 입력해 실행하세요.

poetry export --without-hashes --format=requirements.txt > requirements.txt

이 명령어를 터미널에 그대로 입력해 실행하세요.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

// repository documentation

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<h1 align="center">
<br>
<img height=250 src=.assets/badger-transparent.png >
<br>
badger-builder
</h1>

`badger-builder` is an AI-assisted tool for generating dynamic Brute Ratel C4 profiles. Simply provide `badger-builder` a *flavor* for your desired profile and it will prompt OpenAI for fitting configurations.

Listener/payload profile configs that are AI generated:
- C2 URIs
- Request/response HTTP headers
- HTTP body data prepended and appended to C2 requests/responses
- The server's *empty-response* HTTP body

HTTP body data can be generated in XML, JSON or JavaScript (and request format can differ from response format).

I'd recommended always reviewing the configs generated by OpenAI, especially for cases where it failed to avoid usage of test/sample/placeholder values. The AI generated configs are generally a good starting point, but you'll likely want to make some modifications.

Supports Brute Ratel 1.5.2

Currently only HTTP listener profile configs are supported (no DoH support)

### Note on OpenAI Usage
The prompts `badger-builder` sends to the OpenAI API consume [tokens](https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them). Usage generally consumes a few thousand tokens (< $0.05 USD). Your OpenAI account must either be on the free trial or have setup API billing. (Check your usage and billing [here](https://platform.openai.com/account/usage))

## Install
`badger-builder` can be installed by cloning this repository and running `pip3 install .` and subsequently executed from PATH with `badger-builder`

For those that hate poetry projects, there is a `requirements.txt` you can use with `badger-builder.py` to call the `typer` app's entrypoint.

## Usage
Move `.env.sample` to `.env`, add your OpenAI API key and run `badger-builder create`

![](https://raw.githubusercontent.com/Tw1sm/badger-builder/main/.assets/usage.png)

After a profle has been generated, use `badger-builder parse` to display sample HTTP requests using the profile configs.

## Development
`badger-builder` uses Poetry to manage dependencies. Install from source and setup for development with:
```
git clone https://github.com/tw1sm/badger-builder
cd badger-builder
poetry install
poetry run badger-builder --help
```

`requirements.txt` can be generated with 
```
poetry export --without-hashes --format=requirements.txt > requirements.txt
```

## Improvements
- [ ] Option (subcommand?) to provide flags via yaml file
- [ ] Better/more token efficent OpenAI prompts
- [ ] DoH/SMB/TCP listener integration
- [ ] More prepend/append data formats
- [x] `autorun` actions such as setting kill date, chid, malloc/threadex settings