Auth bypass in NVIDIA Ufm Cyberai Ga

CVE-2024-0130

NVIDIA UFM Enterprise, UFM Appliance, and UFM CyberAI contain a vulnerability where an attacker can cause an improper authentication issue by sending a malformed request through the Ethernet management interface. A successful exploit of this vulnerability might lead to escalation of privileges, data tampering, denial of service, and information disclosure.

Vulnerability class: Broken Authentication

Published · last modified .

CVSS v3 metric

CVSS v3 base score 8.8 (High). Vector: CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.

EPSS exploit prediction

EPSS: 0.003 (25.1th percentile), scored .

Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 25th percentile — 25.1% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.

EPSS trend (30 days)EPSS over the last 30 days for CVE-2024-0130: held from 0.003 to 0.003.

EPSS over last 30 days · oldest: 0.003 · newest: 0.003 · change: -0.000

Affected products

Weakness classification (CWE)

References

Frequently asked questions

What is CVE-2024-0130?
CVE-2024-0130 is a high-severity vulnerability in NVIDIA Ufm Cyberai Ga, classified under Improper Authentication. CVSS score: 8.8/10. Published 2024-12-06.
How severe is CVE-2024-0130?
High severity. CVSS v3 base score is 8.8 out of 10.