The US Cybersecurity and Infrastructure Security Agency (CISA) on Thursday announced the release of a Stakeholder-Specific Vulnerability Categorization (SSVC) guide that can help organizations prioritize vulnerability patching using a decision tree model.

The SSVC system was created in 2019 by CISA and Carnegie Mellon University’s Software Engineering Institute (SEI), and a year later CISA developed its own customized SSVC decision tree for security flaws relevant to government and critical infrastructure organizations.

CISA is now encouraging organizations of all sizes to use its version of the SSVC for vulnerability management.

The SSVC provides a customized decision tree model that assists companies in prioritizing vulnerability response. CISA’s SSVC helps organizations categorize each vulnerability into one of four categories:

The SSVC tree helps users make a decision based on a vulnerability’s exploitation status, technical impact, whether it is automatable, impact on mission-essential functions, and the potential impact of system compromise on humans.

CISA recommends using the SSVC in conjunction with its Known Exploited Vulnerabilities (KEV) catalog, Common Security Advisory Framework (CSAF) machine-readable security advisories, and the Vulnerability Exploitability eXchange (VEX).

[ READ: CISA’s ’Must Patch’ List Puts Spotlight on Vulnerability Management Processes ]

“Everyone in the industry understands at this point that we can’t just blindly use CVSS scores to prioritize vulnerabilities,” commented Derek McCarthy, director, field engineering at NetRise. “Context matters (a lot), and SSVC has done incredible work enumerating all the factors that should be involved in determining how to deal with vulnerabilities in any given setting. CISA’s work in extending that should prove to be valuable in boiling up some of the more pertinent details to allow organizations to more easily digest and implement vulnerability management policies and procedures that reflect the goals of the SSVC framework.”

By Eduard Kovacs on Fri, 11 Nov 2022 11:57:49 +0000
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