CVE-2021-41496

  1. OpenCVE
  2. Vulnerabilities (CVE)
  3. CVE-2021-41496
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)

5.5 /10

CVSS v3 : MEDIUM

V3 Legend

Vector :

Exploitability : 1.8 / Impact : 3.6

Attack Vector LOCAL

Attack Complexity LOW

Privileges Required LOW

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact HIGH

Scope UNCHANGED

2.1 /10

CVSS v2.0 : LOW

V2 Legend

Vector : AV:L/AC:L/Au:N/C:N/I:N/A:P

Exploitability : 3.9 / Impact : 2.9

Access Vector LOCAL

Access Complexity LOW

Authentication NONE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact PARTIAL

References
Link Resource
https://github.com/numpy/numpy/issues/19000 Exploit Issue Tracking Patch Third Party Advisory
https://www.oracle.com/security-alerts/cpujul2022.html Third Party Advisory
Configurations

Configuration 1 (hide)

cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*
History

07 Nov 2023, 03:38

Type Values Removed Values Added
Summary ** 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). 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)

24 Feb 2023, 15:34

Type Values Removed Values Added
References (N/A) https://www.oracle.com/security-alerts/cpujul2022.html - (N/A) https://www.oracle.com/security-alerts/cpujul2022.html - Third Party Advisory

25 Jul 2022, 18:16

Type Values Removed Values Added
References
  • (N/A) https://www.oracle.com/security-alerts/cpujul2022.html -

03 Jun 2022, 18:08

Type Values Removed Values Added
CVSS v2 : 5.0
v3 : 7.5 		v2 : 2.1
v3 : 5.5

07 Feb 2022, 19:15

Type Values Removed Values Added
Summary 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. ** 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).

27 Dec 2021, 19:48

Type Values Removed Values Added
CPE cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*
CWE CWE-120
CVSS v2 : unknown
v3 : unknown 		v2 : 5.0
v3 : 7.5
References (MISC) https://github.com/numpy/numpy/issues/19000 - (MISC) https://github.com/numpy/numpy/issues/19000 - Exploit, Issue Tracking, Patch, Third Party Advisory

17 Dec 2021, 20:15

Type Values Removed Values Added
New CVE
Information

Published : 2021-12-17 20:15

Updated : 2024-04-11 01:13

NVD link : CVE-2021-41496

Mitre link : CVE-2021-41496

CVE.ORG link : CVE-2021-41496

JSON object : View

Products Affected

numpy

  • numpy
CWE
CWE-120

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