Exploit Prediction Scoring System - EPSS
EPSS is a system that predicts the likelihood of a vulnerability being exploited in the wild. It uses machine learning models to predict the likelihood of a vulnerability being exploited in the wild. The system uses data from the National Vulnerability Database (NVD) and the Common Vulnerability Scoring System (CVSS) to train the models.
Top-rated Vulnerabilities from the last two days
Top 10 Vulnerabilities with the highest Delta (score shifts over the last two days)
EPSS Scoring Date | CVE Id | Vendor | Score | Published Date | Delta |
---|---|---|---|---|---|
May 17, 2024 | CVE-2014-100005 | Dlink | 87.85 | Jan. 13, 2015, 11:59 a.m. |
45.72 |
May 17, 2024 | CVE-2015-1687 | Microsoft | 77.52 | June 10, 2015, 1:59 a.m. |
21.34 |
May 17, 2024 | CVE-2015-1732 | Microsoft | 78.49 | June 10, 2015, 1:59 a.m. |
16.96 |
May 17, 2024 | CVE-2015-1731 | Microsoft | 78.49 | June 10, 2015, 1:59 a.m. |
16.96 |
May 17, 2024 | CVE-2019-7816 | Adobe | 53.64 | May 24, 2019, 6:29 p.m. |
-14.03 |
May 17, 2024 | CVE-2009-1141 | Microsoft | 54.54 | June 10, 2009, 6:30 p.m. |
-13.26 |
May 17, 2024 | CVE-2021-1647 | Microsoft | 27.46 | Jan. 12, 2021, 8:15 p.m. |
12.85 |
May 17, 2024 | CVE-2009-1139 | Microsoft | 55.69 | June 10, 2009, 6 p.m. |
-12.54 |
May 17, 2024 | CVE-2006-3266 | Magnet | 37.30 | June 27, 2006, 9:05 p.m. |
11.82 |
May 17, 2024 | CVE-2022-2185 | Gitlab | 52.37 | July 1, 2022, 4:15 p.m. |
-11.07 |