Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/unicornunicode/FACT
FACT is a tool to collect, process and visualise forensic data from clusters of machines running in the cloud or on-premise.
https://github.com/unicornunicode/FACT
cloud data-collection forensics
Last synced: 22 days ago
JSON representation
FACT is a tool to collect, process and visualise forensic data from clusters of machines running in the cloud or on-premise.
- Host: GitHub
- URL: https://github.com/unicornunicode/FACT
- Owner: unicornunicode
- License: mit
- Created: 2021-09-30T07:45:40.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-07-30T10:55:07.000Z (5 months ago)
- Last Synced: 2024-08-05T17:44:29.659Z (4 months ago)
- Topics: cloud, data-collection, forensics
- Language: Python
- Homepage:
- Size: 1010 KB
- Stars: 19
- Watchers: 0
- Forks: 3
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-hacking-lists - unicornunicode/FACT - FACT is a tool to collect, process and visualise forensic data from clusters of machines running in the cloud or on-premise. (Python)
README
Forensic Artefact Collection Tool
# Overview
FACT is a tool to collect, process and visualise forensic data from clusters of
machines running in the cloud or on-premise.
# Deployment
For a basic single-node deployment, we recommend using [Docker](https://docs.docker.com/get-docker/)
and [Docker Compose](https://docs.docker.com/compose/install/). First, read
[`docker-compose.yaml`](docker-compose.yaml) for configuration and requirements.
Then, start the stack using:
```sh
docker-compose up -d
```
See the [installation guide](docs/installation.md) for more details and other
deployment methods.
# Using FACT
Check out the [user guide](docs/user-guide.md).
# Developing
See the [developer documentation](docs/developing.md) for details on setting up
a development environment, linting and testing.
# Screenshots
