CVSS2
Attack Vector
LOCAL
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:L/AC:L/Au:N/C:N/I:N/A:P
CVSS3
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS
Percentile
5.1%
DISPUTED 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).
github.com/numpy/numpy/commit/271010f1037150e95017f803f4214b8861e528f2
github.com/numpy/numpy/issues/19000
github.com/numpy/numpy/pull/20630
launchpad.net/bugs/cve/CVE-2021-41496
nvd.nist.gov/vuln/detail/CVE-2021-41496
security-tracker.debian.org/tracker/CVE-2021-41496
ubuntu.com/security/notices/USN-5763-1
www.cve.org/CVERecord?id=CVE-2021-41496
CVSS2
Attack Vector
LOCAL
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:L/AC:L/Au:N/C:N/I:N/A:P
CVSS3
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS
Percentile
5.1%