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[](https://github.com/intelowlproject/Greedybear/releases)
[](https://github.com/GreedyBear-Project/Greedybear/releases)
The project goal is to extract data of the attacks detected by a [TPOT](https://github.com/telekom-security/tpotce) or a cluster of them and to generate some feeds that can be used to prevent and detect attacks.
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The project goal is to extract attack data detected by a [T-Pot](https://github.com/telekom-security/tpotce) or a cluster of them and to generate some feeds that can be used to prevent and detect attacks. You can read the [official announcement here](https://www.honeynet.org/2021/12/27/new-project-available-greedybear/).
Documentation about GreedyBear installation, usage, configuration and contribution can be found at [this link](https://github.com/GreedyBear-Project/GreedyBear/wiki)
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## Public feeds
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There are public feeds provided by [The Honeynet Project](https://www.honeynet.org) in this [site](https://greedybear.honeynet.org). [Example](https://greedybear.honeynet.org/api/feeds/cowrie/all/recent.txt)
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Please do not perform too many requests to extract feeds or you will be banned.
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If you want to be updated regularly, please download the feeds only once every 10 minutes (this is the time between each internal update).
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To check all the available feeds, Please refer to our [usage guide](https://github.com/GreedyBear-Project/GreedyBear/wiki/Usage)
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## Enrichment Service
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GreedyBear provides an easy-to-query API to get the information available in GB regarding the queried observable (domain or IP address).
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To understand more, Please refer to our [usage guide](https://github.com/GreedyBear-Project/GreedyBear/wiki/Usage)
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## Run Greedybear on your environment
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The tool has been created not only to provide the feeds from The Honeynet Project's cluster of TPOTs.
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If you manage one or more T-POTs of your own, you can get the code of this application and run Greedybear on your environment.
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In this way, you are able to provide new feeds of your own.
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To install it locally, Please refer to our [installation guide](https://github.com/GreedyBear-Project/GreedyBear/wiki/Installation)
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## How to ...
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-**... try it out**: visit the [public instance](https://greedybear.honeynet.org) provided by [The Honeynet Project](https://www.honeynet.org) and take a look at a [threat intelligence live feed example](https://greedybear.honeynet.org/api/feeds/cowrie/all/recent.txt)
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-**... dive in**: read through our documentation in the [Wiki](https://github.com/GreedyBear-Project/GreedyBear/wiki) and explore GreedyBear's features
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-**... run your own instance**: to leverage everything GreedyBear has to offer, you might want to [install](https://github.com/GreedyBear-Project/GreedyBear/wiki/Installation) it and connect it to your own T-Pot
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-**... stay up to date**: [read](https://greedybear-project.github.io/) and [subscribe](https://greedybear-project.github.io/feed.xml) to our blog, where we regularly write about the most recent changes and new features
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-**... contact us**: using a Github [issue](https://github.com/GreedyBear-Project/GreedyBear/issues) or start a [discussion](https://github.com/GreedyBear-Project/GreedyBear/discussions)
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-**... contribute**: read through our [contribution guidelines](https://github.com/GreedyBear-Project/GreedyBear/wiki/Contribute), open an [issue](https://github.com/GreedyBear-Project/GreedyBear/issues), get assigned and raise a [pull request](https://github.com/GreedyBear-Project/GreedyBear/pulls)
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## Sponsors and Acknowledgements
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In 2026 we started participating to the [Google Summer of Code](https://summerofcode.withgoogle.com/) (GSoC)!
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In 2026 we started participating in the [Google Summer of Code](https://summerofcode.withgoogle.com/) (GSoC)!
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If you are interested in participating in the next Google Summer of Code, check all the info available in the [dedicated repository](https://github.com/intelowlproject/gsoc)!
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## Maintainers and Key Contributors
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## Maintainers and Contributors
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This project was started as a personal Christmas project by [Matteo Lodi](https://twitter.com/matte_lodi) in 2021.
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Special thanks to:
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*[Tim Leonhard](https://github.com/regulartim) for having greatly improved the project and added Machine Learning Models during his master thesis. He's the actual Principal Mantainer.
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*[Martina Carella](https://github.com/carellamartina) for having created the GUI during her master thesis.
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*[Daniele Rosetti](https://github.com/drosetti) for helping maintaining the Frontend.
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-[Tim Leonhard](https://github.com/regulartim) for having greatly improved the project and added Machine Learning Models during his master thesis. He's the current Principal Maintainer.
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-[Martina Carella](https://github.com/carellamartina) for having created the GUI during her master thesis.
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-[Daniele Rosetti](https://github.com/drosetti) for helping maintaining the Frontend.
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