4.3

CVE-2019-20634

An issue was discovered in Proofpoint Email Protection through 2019-09-08. By collecting scores from Proofpoint email headers, it is possible to build a copy-cat Machine Learning Classification model and extract insights from this model. The insights gathered allow an attacker to craft emails that receive preferable scores, with a goal of delivering malicious emails.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Proofpoint ≫ Email Protection Version <= 2019-09-08
Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 1.58% 0.722
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 3.7 2.2 1.4
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N
nvd@nist.gov 4.3 8.6 2.9
AV:N/AC:M/Au:N/C:P/I:N/A:N
cve@mitre.org 3.7 2.2 1.4
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N
CWE-697 Incorrect Comparison

The product compares two entities in a security-relevant context, but the comparison is incorrect, which may lead to resultant weaknesses.

https://github.com/moohax/Proof-Pudding
Third Party Advisory
https://github.com/moohax/Talks/blob/master/slides/DerbyCon19.pdf
Third Party Advisory
https://www.proofpoint.com/us/security/CVE-2019-20634
Vendor Advisory
https://www.proofpoint.com/us/security/security-advisories/pfpt-sn-2020-0001
Vendor Advisory
https://atlas.mitre.org/studies/AML.CS0008