Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/GreyNoise-Intelligence/greynoise-maltego
GreyNoise Maltego integration and transforms
https://github.com/GreyNoise-Intelligence/greynoise-maltego
Last synced: about 6 hours ago
JSON representation
GreyNoise Maltego integration and transforms
- Host: GitHub
- URL: https://github.com/GreyNoise-Intelligence/greynoise-maltego
- Owner: GreyNoise-Intelligence
- License: mit
- Created: 2020-03-12T01:39:50.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-03-14T15:47:30.000Z (over 1 year ago)
- Last Synced: 2024-04-17T17:11:02.470Z (7 months ago)
- Language: Python
- Size: 60.5 KB
- Stars: 18
- Watchers: 2
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-ip-search-engines - GreyNoise Maltego
README
[![main](https://github.com/GreyNoise-Intelligence/greynoise-maltego/workflows/python_linters/badge.svg)](https://github.com/GreyNoise-Intelligence/greynoise-maltego/actions?query=workflow%3Apython_linters)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)# GreyNoise Maltego Transforms
This repo includes a transforms for Maltego to query the GreyNoise APIs.
More details about Maltego here: [https://www.maltego.com/](https://www.maltego.com/)
## Usage
### Initial Configuration
In order to use the GreyNoise transform, install the Integration from the Transform Hub. Then,
configure the transform using a GreyNoise API key.If you don't have a GreyNoise API key, you can sign up for a free trial at
[https://viz.greynoise.io/signup](https://viz.greynoise.io/signup)# Instructions for running locally in Maltego
1. Clone this repo to /repos/ (you may use an alternate directory, but will need to update the
transforms after import)
2. Create a local virtual environment named repos/venv
3. Import ``greynoise.mtz`` into Maltego
4. Go to `Transforms` -> `Transform Manager`
5. Find the ``GreyNoiseCommunityIPLookup`` transforms, and update the
``commandline`` and ``working directory`` settings to match that of your local setup
6. Update the ``api_key`` in the ``transforms/GreyNoiseCommunityIPLookup.py`` fileRepeat steps 5 & 6 for additional transforms
# Values for creating a Manual Transform Seed for Community API
- `ID`: `GreyNoise Community`
- `Name`: `GreyNoise Community`
- `Seed URL`: `https://cetas.paterva.com/runner/showseed/greynoisecommunity`
- `Icon URL`: `https://viz.greynoise.io/favicon.ico`# Values for creating a Manual Transform Seed for Enterprise API
- `ID`: `GreyNoise`
- `Name`: `GreyNoise`
- `Seed URL`: `https://cetas.paterva.com/runner/showseed/greynoiseenterprise`
- `Icon URL`: `https://viz.greynoise.io/favicon.ico`# Values for creating a Manual Transform Seed for Development work
- `ID`: `GreyNoise Dev`
- `Name`: `GreyNoise Dev`
- `Seed URL`: `https://cetas.paterva.com/runner/showseed/jFUjpWPnZCliFvcE2DyragzC`
- `Icon URL`: `https://viz.greynoise.io/favicon.ico`## Contributing
Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull
requests to us.## Versioning
We use [SemVer](http://semver.org/) for versioning. For the versions available, see
the [tags on this repository](https://github.com/GreyNoise-Intelligence/greynoise-maltego/tags).## Authors
* **Brad Chiappetta** - *Initial work* - [bradchiappetta](https://github.com/bradchiappetta)
See also the list of [contributors](https://github.com/GreyNoise-Intelligence/greynoise-maltego/contributors) who participated
in this project.## Links
* [GreyNoise.io](https://greynoise.io)
* [GreyNoise Terms](https://greynoise.io/terms)
* [GreyNoise Doc Portal](https://doc.greynoise.io)
* [GreyNoise Community API Reference](https://doc.greynoise.io/reference/community-api#get_v3-community-ip)## Contact Us
Have any questions or comments about GreyNoise? Contact us at [[email protected]](mailto:[email protected])
## Copyright and License
Code released under [MIT License](LICENSE).