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Vulnerability database: History & Applications

A vulnerability database (VDB) is a platform aimed at collecting, maintaining, and disseminating information about discovered computer security vulnerabilities. The database will customarily describe the identified vulnerability, assess the potential impact on affected systems, and any workarounds or updates to mitigate the issue. A VDB will assign a…

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Vulnerability database topic overview

The analysis highlights History and Applications as prominent areas in the source structure around Vulnerability database.

Related topics
20
Source areas
5
Connected nodes
25
Extracted relationships
87
Concept neighborhoods
17
Bridge connections
25

What this topic covers Research coverage

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.

Types of vulnerability databases · 10 topics
Overview · 4 topics
Common security vulnerabilities listed on vulnerability databases · 2 topics
History · 2 topics
Use of vulnerability databases · 2 topics

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.

Explore all related topics Closing gaps

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.

Overview

History

Types of vulnerability databases

Use of vulnerability databases

Common security vulnerabilities listed on vulnerability databases

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Vulnerability database connects Entity context

The extracted context around Vulnerability database shows recurring relationship patterns in the source. For example, Vulnerability database → April, August, Common Platform Enumeration, Common Vulnerabilities, Common Vulnerability Scoring System, CPE, CVE, CVSS, Database, Exposures, However, In, ISS X-Force, Major, Many, March, MITRE, MITRE-run CVE, National Institute, NIST Another extracted example is Vulnerability database → Analysis Scale, Common Vulnerability Scoring System, CVSS, However, NVD, OSVDB, SANS Institute's Critical Vulnerability, The CVSS, US-CERT, Vulnerability. Use these groups to spot repeated connection types before inspecting the individual relationships.

Vulnerability database

Top relations

related to Types of vulnerability databases · 33
Vulnerability database → April, August, Common Platform Enumeration, Common Vulnerabilities, Common Vulnerability Scoring System, CPE, CVE, CVSS, Database, Exposures, However, In, ISS X-Force, Major, Many, March, MITRE, MITRE-run CVE, National Institute, NIST
related to Use of vulnerability databases · 10
Vulnerability database → Analysis Scale, Common Vulnerability Scoring System, CVSS, However, NVD, OSVDB, SANS Institute's Critical Vulnerability, The CVSS, US-CERT, Vulnerability
related to Inadequate auditing · 9
Vulnerability database → All, Data, If, NoSQL, Some, SQL, The, Vulnerability, When
related to history · 7
Vulnerability database → February, He, Jerome, Multics, Repaired Security Bugs, Saltzer, The
related to Environmental · 5
Vulnerability database → CVSS, Furthermore, Organisations, The, This
related to SQL injection · 3
Vulnerability database → Database, NoSQL, SQL
see also · 3
Vulnerability database → Common Vulnerabilities, DatabaseOpen Source Vulnerability Database, ExposuresJapan Vulnerability NotesNational Vulnerability
related to Misconfigured databases · 2
Vulnerability database → Database, Established
is a · 1
Vulnerability database → comprehensive cyber security vulnerability database formed in 2005 that reports on CVE

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

vulnerability database databases vulnerabilities system information security data systems organisations osvdb cve nvd impact vdb common may patches hackers scoring

Vulnerability database relationships Subject–Predicate–Object triples

TTTA extracted 87 structured relationships around Vulnerability database. Examples in this analysis include Vulnerability database → is a → comprehensive cyber security vulnerability database formed in 2005 that reports on CVE and a number → instance of → A VDB will assign a unique identifier to each vulnerability cataloged. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Vulnerability databaseis acomprehensive cyber security vulnerability database formed in 2005 that reports on CVE0.90text
a numberinstance ofA VDB will assign a unique identifier to each vulnerability cataloged0.80text
the ISS X-Force databaseinstance ofTypes of vulnerability databasesMajor vulnerability databases0.80text
Symantec / SecurityFocus BID databaseinstance ofTypes of vulnerability databasesMajor vulnerability databases0.80text
and the Open Source Vulnerability Databaseinstance ofTypes of vulnerability databasesMajor vulnerability databases0.80text
US-CERTinstance ofA multitude of scoring methods exist across vulnerability databases0.80text
SANS Institute's Critical Vulnerability Analysis Scale but the Common Vulnerability Scoring Systeminstance ofA multitude of scoring methods exist across vulnerability databases0.80text
the potential impact of the exposure of confidential informationinstance oftemporal and environmental which each provide a vulnerability rating.BaseThis metric covers the immutable properties of a vulnerability0.80text
the accessibility of informationinstance oftemporal and environmental which each provide a vulnerability rating.BaseThis metric covers the immutable properties of a vulnerability0.80text
the aftermath of the irretrievable deletion of information.TemporalThe temporal metrics denote the mutable nature of a vulnerability for example the credibility of an exploitabilityinstance oftemporal and environmental which each provide a vulnerability rating.BaseThis metric covers the immutable properties of a vulnerability0.80text
the current state of a system violationinstance oftemporal and environmental which each provide a vulnerability rating.BaseThis metric covers the immutable properties of a vulnerability0.80text
the development of any workarounds that could be applied.EnvironmentalThis aspect of the CVSS rates the potential loss to individuals or organisations from a vulnerabilityinstance oftemporal and environmental which each provide a vulnerability rating.BaseThis metric covers the immutable properties of a vulnerability0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Vulnerability database bring nearby vocabulary together. In this analysis, examples include Databases, Database and Vulnerability. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Vulnerability database
    • Databases
    • Database
    • Vulnerability
    • System
    • Organisations
    • Vulnerabilities
    • Systems
    • Data
    • Security
    • Common
    • Cvss
    • Scoring
  • vulnerability database
    • Databases
    • Security
    • Database
    • Vulnerability
    • National
    • Vulnerabilities
    • System
    • Source
    • Organisations
    • Open
    • Common
    • Cyber
  • computer security vulnerabilities
    • Cyber
    • Vulnerability
    • Databases
    • Common
    • National
    • Open
    • Published
    • Vulnerabilities
    • Identified
    • Source
    • Access
    • Primary
  • database
    • Security
    • Vulnerability
    • National
    • Vulnerabilities
    • Source
    • Open
    • Common
    • Cyber
    • Cve
    • Databases
    • Information
    • Access
  • open source vulnerability database
    • Source
    • Databases
    • Security
    • Database
    • Vulnerability
    • National
    • Osvdb
    • Vulnerabilities
    • System
    • Organisations
    • Open
    • Common
  • national vulnerability database
    • Databases
    • Security
    • Database
    • Vulnerability
    • National
    • Vulnerabilities
    • System
    • Source
    • Organisations
    • Open
    • Common
    • Cyber
  • common vulnerability scoring system
    • Databases
    • Source
    • System
    • Open
    • Database
    • Cvss
    • Scoring
    • Nvd
    • Osvdb
    • Vulnerability
    • Organisations
    • Access
  • chinese national vulnerability database
    • Databases
    • Security
    • Database
    • Vulnerability
    • National
    • Vulnerabilities
    • System
    • Source
    • Organisations
    • Open
    • Common
    • Cyber

Connections between topic areas Semantic bridges

For Vulnerability database, one of the stronger structural bridges in this analysis connects Vulnerability database with Types of vulnerability databases. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Vulnerability databaseTypes of vulnerability databases · splits 15 ⟂ 11
Vulnerability databaseOverview · splits 21 ⟂ 5
Vulnerability databaseHistory · splits 23 ⟂ 3
Vulnerability databaseUse of vulnerability databases · splits 23 ⟂ 3
Vulnerability databaseCommon security vulnerabilities listed on vulnerability databases · splits 23 ⟂ 3

Map overview Semantic statistics

Vulnerability database

Nodes26
Edges25
Triples87
Avg. degree1.92
Density0.076923
Components1

Source & methodology

TTTA analyzes the structure around Vulnerability database to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Vulnerability database · EN edition · Analysis: TopicsToTalkAbout

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