CVE-2021-41496

Published: Dec 17, 2021Modified: Nov 21, 2024

5.5

Vector

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Exploitability: 1.8 / Impact: 3.6

Source: NVD

Description

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)

Affected (1)

Products: Numpy: Numpy

1 product

Configuration A

1 vulnerable

Vulnerable Software	Affected Versions
Numpy Numpy	Before 1.19.0

Related CWEs

Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')

The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow.

References (4)

https://github.com/numpy/numpy/issues/19000

Source: cve@mitre.org

ExploitIssue TrackingPatchThird Party Advisory

https://www.oracle.com/security-alerts/cpujul2022.html

Source: cve@mitre.org

Third Party Advisory

https://github.com/numpy/numpy/issues/19000

Source: af854a3a-2127-422b-91ae-364da2661108

ExploitIssue TrackingPatchThird Party Advisory

https://www.oracle.com/security-alerts/cpujul2022.html

Source: af854a3a-2127-422b-91ae-364da2661108

Third Party Advisory

Timeline

No history available yet.