A Survey on Software Vulnerability Exploitability Assessment
Knowing the exploitability and severity of software vulnerabilities helps practitioners prioritize vulnerability mitigation efforts. Researchers have proposed and evaluated many different exploitability assessment methods. The goal of this research is to assist practitioners and researchers in under...
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Veröffentlicht in: | ACM computing surveys 2024-08, Vol.56 (8), p.1-41, Article 205 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Knowing the exploitability and severity of software vulnerabilities helps practitioners prioritize vulnerability mitigation efforts. Researchers have proposed and evaluated many different exploitability assessment methods. The goal of this research is to assist practitioners and researchers in understanding existing methods for assessing vulnerability exploitability through a survey of exploitability assessment literature. We identify three exploitability assessment approaches: assessments based on original, manual Common Vulnerability Scoring System, automated Deterministic assessments, and automated Probabilistic assessments. Other than the original Common Vulnerability Scoring System, the two most common sub-categories are Deterministic, Program State based, and Probabilistic learning model assessments. |
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ISSN: | 0360-0300 1557-7341 |
DOI: | 10.1145/3648610 |