CVE-2021-41496

low-risk
Published 2021-12-17

Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally)

Do I need to act?

-
0.04% chance of exploitation
EPSS score — low exploit probability
-
Not on CISA KEV list
No confirmed active exploitation reported to CISA
?
Patch status unknown
Check vendor advisories for fix availability and mitigation guidance
5
CVSS 5.5/10 Medium
LOCAL / LOW complexity

Affected Products (1)

Numpy

Affected Vendors

Numpy

References (4)

Exploit https://github.com/numpy/numpy/issues/19000
Third Party Advisory https://www.oracle.com/security-alerts/cpujul2022.html
Exploit https://github.com/numpy/numpy/issues/19000
Third Party Advisory https://www.oracle.com/security-alerts/cpujul2022.html
23
/ 100
low-risk
Severity 18/34 · Moderate
Exploitability 0/34 · Minimal
Exposure 5/34 · Minimal