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OpenVAS (Open Vulnerability Assessment Scanner, originally known as GNessUs) is the scanner component of Greenbone Vulnerability Management (GVM), a software framework of several services and tools offering vulnerability scanning and vulnerability management.
The analysis highlights History and Overview as prominent areas in the source structure around OpenVAS.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around OpenVAS shows recurring relationship patterns in the source. For example, OpenVAS → Archived, August, February, HackerTarget, January, June, Nessus, Nexpose VS Metasploitable, October, Official, Project Filelist, Protocol Documentation, Retrieved, Wald Another extracted example is OpenVAS → GNessUs, Greenbone Vulnerability Manager, Nessus, October, Portcullis Computer Security, Public Interest, SecuritySpace, Slashdot, Software, Tenable Network Security, Tim Brown. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
greenbone vulnerability software nessus license project management gpl documentation also org scanner written october open originally gnessus scanning free public
TTTA extracted 36 structured relationships around OpenVAS. Examples in this analysis include OpenVAS → Developer → Greenbone Networks GmbH and OpenVAS → License → GPL. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| OpenVAS | Developer | Greenbone Networks GmbH | 1.00 | infobox |
| OpenVAS | License | GPL | 1.00 | infobox |
| OpenVAS | Operating system | Cross-platform | 1.00 | infobox |
| OpenVAS | Repository | github.com/greenbone/openvas-scanner | 1.00 | infobox |
| OpenVAS | Stable release | 23.50.21 / 24 August 2026; 0 days ago (24 August 2026) | 1.00 | infobox |
| OpenVAS | Type | Vulnerability scanner | 1.00 | infobox |
| OpenVAS | Website | www.openvas.org | 1.00 | infobox |
| OpenVAS | Written in | C | 1.00 | infobox |
| OpenVAS | related to Documentation | The OpenVAS | 0.60 | section |
| OpenVAS | related to Documentation | The OpenVAS Compendium | 0.60 | section |
| OpenVAS | related to Documentation | OpenVAS Project | 0.60 | section |
| OpenVAS | related to External links | Official | 0.60 | section |
The concept neighborhoods around OpenVAS bring nearby vocabulary together. In this analysis, examples include Documentation, Org and Project. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For OpenVAS, one of the stronger structural bridges in this analysis connects OpenVAS with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around OpenVAS to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — OpenVAS · EN edition · Analysis: TopicsToTalkAbout