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Exploit Prediction Scoring System

As explained in Data-Driven Cybersecurity

An EPSS score estimates the probability that a vulnerability will be exploited in the wild.

The Exploit Prediction Scoring System (EPSS) gives a probability score estimating whether a vulnerability will be exploited in the wild. It helps assess likelihood, one part of risk alongside impact. section 6.3.1 section 6.3.2

Use EPSS to challenge a severity-only remediation queue. CVSS describes severity, but a high CVSS score does not necessarily mean high risk in a particular environment. Compare exploit likelihood with threat intelligence, business impact, and compensating controls before deciding what to fix first. section 6.3.2

Reading a vulnerability dashboard

A dashboard lists 15 vulnerabilities, including two with high EPSS scores. Those two warrant priority attention. Separately, its risk graph identifies a medium-CVSS vulnerability as the highest-risk, lowest-effort fix. The useful decision is not to sort by one score alone: investigate the high-EPSS findings and weigh each possible correction against overall risk and effort. section 6.5

How Data-Driven Cybersecurity covers it

How deep it goes
Defines the probability score and illustrates its use in a dashboard, but does not explain score calculation.
Examples
Uses a dashboard with 15 vulnerabilities and two high-EPSS findings alongside a risk graph that favors a medium-CVSS fix.
What it assumes
Introduces EPSS alongside vulnerability, CVE, CVSS, and risk terminology without requiring knowledge of how EPSS scores are calculated.
What you can do after
Evaluate/understand it as one signal for ordering vulnerability corrections by likely exploitation and organizational risk.
How it connects
Connects EPSS to CVSS, threat intelligence, business impact analysis, compensating controls, and risk assessment.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Data-Driven Cybersecurity. The section links point to the parts of the book it draws on.