CVSS Vulnerability Score Calculator

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Select metrics and calculate.

What is CVSS?

The Common Vulnerability Scoring System (CVSS) provides a standardized way to rate the severity of security vulnerabilities. Organizations rely on CVSS to prioritize patches and gauge the urgency of remediation. The system analyzes characteristics like how a vulnerability is exploited and what type of damage it causes. Our calculator implements the CVSS version 3 base score formula so you can quickly assess risk by selecting the relevant metrics.

How the Formula Works

CVSS v3 combines Exploitability and Impact sub-scores. Exploitability is calculated by multiplying values for attack vector, attack complexity, privileges required, and user interaction. Impact measures how confidentiality, integrity, and availability are affected. The core equation can be expressed as:

B=r(I+E), where r is 1.08 if scope is changed and 1 otherwise. I represents the impact sub-score and E the exploitability sub-score.

The impact sub-score is I=f(C,I,A), where function f considers how each security property is compromised. Our implementation uses the standard formula recommended by FIRST.org.

Using the Calculator

Choose the options that best describe the vulnerability you’re analyzing. For example, if the issue can be exploited over the network without authentication, select Network for Attack Vector and None for Privileges Required. Once all fields are set, click Compute Score. The tool outputs a number from 0 to 10, rounded to one decimal place. Scores of 9 or above are considered critical, while scores under 4 are typically low severity.

Interpreting the Score

A higher CVSS score means the vulnerability poses a greater risk. Organizations often set internal thresholds for patching based on these scores. Keep in mind that CVSS only measures intrinsic technical impact. Business context—such as the importance of the affected system—should also guide prioritization.

Severity Ratings and Vector Strings

The raw number produced by CVSS is often translated into qualitative bands: scores from 0.0–3.9 are labeled Low, 4.0–6.9 as Medium, 7.0–8.9 as High, and 9.0–10.0 as Critical. These categories help teams triage their response. Along with the numeric score, CVSS defines a vector string that succinctly encodes each metric selection, such as AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H. Copying this vector into bug trackers or security advisories ensures that others can reproduce the calculation.

The calculator outputs both the severity label and the vector string so you can document assessments consistently. Many vulnerability databases publish CVSS vectors alongside scores; by matching those vectors with your environment, you can quickly gauge whether the published assessment aligns with your own risk profile.

Temporal and Environmental Metrics

CVSS also defines Temporal and Environmental metrics that adjust the base score. Temporal values account for exploit code maturity, availability of patches, or the level of remediation. Environmental metrics capture organization-specific factors like the importance of the affected system or existing compensating controls. Although this tool does not compute those layers, the explanation here equips you to explore them using official documentation or more advanced calculators.

Including these additional metrics can swing a score substantially. A vulnerability might be High on its own, but if exploit code is publicly available and the affected system is mission‑critical, the effective risk could border on Critical. Conversely, a vulnerability with no known exploit and strong mitigating controls might drop from Medium to Low.

Practical Example

Imagine a web application flaw that allows SQL injection over the network with no authentication. Selecting Network for attack vector, Low for attack complexity, None for privileges required, and None for user interaction yields a high exploitability score. If the flaw exposes sensitive customer data, confidentiality impact is High. Assuming integrity and availability impacts are also High, the base score approaches 9.8, falling into the Critical band. The vector string would read AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H, a concise summary of the scenario.

Documentation of this sort empowers incident responders and developers to prioritize fixes. Pair the calculator’s output with ticket numbers or change requests to maintain a clear audit trail of risk decisions.

History and Evolution

CVSS emerged in the mid‑2000s as a community effort to unify disparate vulnerability rating systems. Version 2 was widely adopted but criticized for ambiguous metrics, leading to the more nuanced v3 framework used today. Understanding this history explains why certain fields—like Scope or User Interaction—were introduced: they address edge cases where earlier scores failed to capture real‑world impact. Familiarity with past versions also helps when comparing scores across older advisories.

Automating Assessments

Security teams often integrate CVSS calculations into ticketing systems or continuous integration pipelines. By feeding scan results directly into this calculator’s logic, organizations can auto‑generate scores for new findings. Automation reduces manual effort and ensures consistent application of metrics, though human review remains vital for contextual nuances. The vector string produced here can be stored alongside log entries or commit messages to document the rationale behind security decisions.

Limitations

This calculator focuses on the base score and does not include temporal or environmental metrics, which adjust for factors like exploit maturity or the presence of mitigations. For a comprehensive assessment, consider these additional metrics and consult security professionals.

Conclusion

CVSS offers a common language for describing vulnerability severity. By understanding how each metric contributes to the overall score, you can better communicate risks within your organization and allocate resources effectively. Use this calculator as a quick reference whenever you need to gauge the potential impact of a newly discovered issue, and copy the resulting vector for consistent reporting.

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