Exploit Prediction Scoring System (EPSS)

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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


joomla

CVE-2016-10033

Prediction +94.46

9.8 CRITICAL

ghost

CVE-2023-32235

Prediction +94.09

7.5 HIGH

windows 7

CVE-2017-0148

Prediction +94.07

9.3 HIGH

mongo express

CVE-2019-10758

Prediction +94.06

9.9 CRITICAL

gpon router firmware

CVE-2018-10562

Prediction +94.03

9.8 CRITICAL

r6700 firmware

CVE-2016-6277

Prediction +93.99

9.3 HIGH

jquery file upload

CVE-2018-9206

Prediction +93.93

9.8 CRITICAL

airflow

CVE-2022-40127

Prediction +93.74

8.8 HIGH

ac15 firmware

CVE-2020-10987

Prediction +93.62

10.0 HIGH

postgresql

CVE-2019-9193

Prediction +93.59

9.0 HIGH

yii

CVE-2020-15148

Prediction +93.43

10.0 CRITICAL

windows 7

CVE-2017-0145

Prediction +93.34

9.3 HIGH

Top 10 Vulnerabilities with the highest Delta (score shifts over the last two days)

EPSS Scoring Date CVE Id Vendor Score CVE Published Date Delta
Jan. 7, 2026 CVE-2009-1765 Pluck cms 52.01 May 22, 2009, 6:30 p.m.

45.62

Jan. 7, 2026 CVE-2009-1774 Strawberry 46.56 May 22, 2009, 6:30 p.m.

31.55

Jan. 7, 2026 CVE-2022-27924 Zimbra 91.96 April 21, 2022, 12:15 a.m.

30.48

Jan. 7, 2026 CVE-2022-27924 Synacor 91.96 April 21, 2022, 12:15 a.m.

30.48

Jan. 7, 2026 CVE-2003-0015 Freebsd 37.75 Feb. 7, 2003, 5 a.m.

-25.11

Jan. 7, 2026 CVE-2003-0015 Cvs 37.75 Feb. 7, 2003, 5 a.m.

-25.11

Jan. 7, 2026 CVE-2009-1815 Sonicspot 28.47 May 29, 2009, 4:30 p.m.

18.16

Jan. 7, 2026 CVE-2022-46175 Fedoraproject 54.08 Dec. 24, 2022, 4:15 a.m.

17.29

Jan. 7, 2026 CVE-2022-46175 Json5 54.08 Dec. 24, 2022, 4:15 a.m.

17.29

Jan. 7, 2026 CVE-2009-1644 Sorinara 26.08 May 15, 2009, 3:30 p.m.

16.88