Vulnerability 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)
CVSS Score
MEDIUM
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Numpy | Numpy | < 1.19.0 |
Related Weaknesses (CWE)
References
- https://github.com/numpy/numpy/issues/19000ExploitIssue TrackingPatch
- https://www.oracle.com/security-alerts/cpujul2022.htmlThird Party Advisory
- https://github.com/numpy/numpy/issues/19000ExploitIssue TrackingPatch
- https://www.oracle.com/security-alerts/cpujul2022.htmlThird Party Advisory
FAQ
What is CVE-2021-41496?
CVE-2021-41496 is a vulnerability with a CVSS score of 5.5 (MEDIUM). 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 valu...
How severe is CVE-2021-41496?
CVE-2021-41496 has been rated MEDIUM with a CVSS base score of 5.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2021-41496?
Check the references section above for vendor advisories and patch information. Affected products include: Numpy Numpy.