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)
Metrics
CVSS 3.1 5.5/10
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HWeakness enumeration
Affected software
| Vendor | Product | Versions |
|---|---|---|
| n/a | n/a | n/a |
References
- https://github.com/numpy/numpy/issues/19000Exploit, Issue Tracking, Patch, Third Party Advisory
- https://www.oracle.com/security-alerts/cpujul2022.htmlThird Party Advisory
- https://github.com/numpy/numpy/issues/19000Exploit, Issue Tracking, Patch, Third Party Advisory
- https://www.oracle.com/security-alerts/cpujul2022.htmlThird Party Advisory
Timeline
- Published
- Dec 17, 2021
- Last modified
- Jun 17, 2026
- NVD status
- Modified