CVE-2021-33430

  1. OpenCVE
  2. Vulnerabilities (CVE)
  3. CVE-2021-33430
A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user

5.3 /10

CVSS v3 : MEDIUM

V3 Legend

Vector :

Exploitability : 1.6 / Impact : 3.6

Attack Vector NETWORK

Attack Complexity HIGH

Privileges Required LOW

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact HIGH

Scope UNCHANGED

3.5 /10

CVSS v2.0 : LOW

V2 Legend

Vector : AV:N/AC:M/Au:S/C:N/I:N/A:P

Exploitability : 6.8 / Impact : 2.9

Access Vector NETWORK

Access Complexity MEDIUM

Authentication SINGLE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact PARTIAL

References
Link Resource
https://github.com/numpy/numpy/issues/18939 Exploit Third Party Advisory
https://github.com/numpy/numpy/issues/18939 Exploit Third Party Advisory
Configurations

Configuration 1 (hide)

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

21 Nov 2024, 06:08

Type Values Removed Values Added
References () https://github.com/numpy/numpy/issues/18939 - Exploit, Third Party Advisory () https://github.com/numpy/numpy/issues/18939 - Exploit, Third Party Advisory

07 Nov 2023, 03:35

Type Values Removed Values Added
Summary ** DISPUTED ** A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user
Information

Published : 2021-12-17 19:15

Updated : 2024-11-21 06:08

NVD link : CVE-2021-33430

Mitre link : CVE-2021-33430

CVE.ORG link : CVE-2021-33430

JSON object : View

Products Affected

numpy

  • numpy
CWE
CWE-120

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