Computer Science > Cryptography and Security
[Submitted on 4 Nov 2024
]
Title: Efficacy of EPSS in High Severity CVEs found in KEV
Title: EPSS在高严重性CVE中的有效性在KEV中发现
Abstract: The Exploit Prediction Scoring System (EPSS) is designed to assess the probability of a vulnerability being exploited in the next 30 days relative to other vulnerabilities. The latest version, based on a research paper published in arXiv, assists defenders in deciding which vulnerabilities to prioritize for remediation. This study evaluates EPSS's ability to predict exploitation before vulnerabilities are actively compromised, focusing on high severity CVEs that are known to have been exploited and included in the CISA KEV catalog. By analyzing EPSS score history, the availability and simplicity of exploits, the system's purpose, its value as a target for Threat Actors (TAs), this paper examines EPSS's potential and identifies areas for improvement.
Bibliographic and Citation Tools
Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)
Code, Data and Media Associated with this Article
alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)
Demos
Recommenders and Search Tools
Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender
(What is IArxiv?)
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.