Important Notice: This repository is no longer actively maintained or supported. No further issues or pull requests will be considered or approved. The content provided here is for historical reference only.
The Greenbone community has worked to release Greenbone Community Containers. v22.4 made several major changes including the introduction of the MQTT broker and Notus scanner. That project doesn't necessarily work the same way as this and it doesn't support remote scanners, but we strongly recommend using the most recent version of GVM instead of this project.
Thank you contributors and Greenbone community. Your dedication, feedback, and contributions have been invaluable.
- SCS
This setup is based on Greenbone Vulnerability Management and OpenVAS. We have made improvements to help stability and functionality.
You want to send GVM/OpenVAS results to Elasticsearch, try our GVM Logstash project.
- Now all
-dataimages are full pre-initialized (with available data from the build time)
Pre Initialized (-data) images, have a web ui password:
adminpasswordand should be changed after the deployment. Also the Postgres got a default password:none
docker pull ghcr.io/secure-compliance-solutions-llc/gvm-docker:debian-master-data-full
docker pull ghcr.io/secure-compliance-solutions-llc/gvm-docker:debian-master-data
docker pull ghcr.io/secure-compliance-solutions-llc/gvm-docker:debian-master-full
docker pull ghcr.io/secure-compliance-solutions-llc/gvm-docker:debian-master
NOTE: Please do not use
docker pull securecompliance/gvm:latest
docker pull securecompliance/gvm:debian-master-data-full
docker pull securecompliance/gvm:debian-master-data
docker pull securecompliance/gvm:debian-master-full
docker pull securecompliance/gvm:debian-master
| Hosts | CPU Cores | Memory | Disk Space |
|---|---|---|---|
| 512 active IPs | 4@2GHz cores | 8 GB RAM | 30 GB |
| 2,500 active IPs | 6@2GHz cores | 12 GB RAM | 60 GB |
| 10,000 active IPs | 8@3GHz cores | 16 GB RAM | 250 GB |
| 25,000 active IPs | 16@3GHz cores | 32 GB RAM | 1 TB |
| 100,000 active IPs | 32@3GHz cores | 64 GB RAM | 2 TB |
The key points to take away from the diagram below, is the way our setup establishes connection with the remote sensor, and the available ports on the GMV-Docker container. You can still use any add on tools you've used in the past with OpenVAS on 9390. One of the latest/best upgrades allows you connect directly to postgres using your favorite database tool.
