CVE-2021-33430

Published: Dic 17, 2021 Last Modified: Nov 21, 2024
ExploitDB:
Other exploit source:
Google Dorks:
MEDIUM 5,3
Attack Vector: network
Attack Complexity: high
Privileges Required: low
User Interaction: none
Scope: unchanged
Confidentiality: none
Integrity: none
Availability: high
LOW 3,5
Access Vector: network
Access Complexity: medium
Authentication: single
Confidentiality: none
Integrity: none
Availability: partial

Description

AI Translation Available

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

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0059
Percentile
0,7th
Updated

EPSS Score Trend (Last 90 Days)

120

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

Incomplete
Common Consequences
Security Scopes Affected:
Integrity Confidentiality Availability
Potential Impacts:
Modify Memory Execute Unauthorized Code Or Commands Dos: Crash, Exit, Or Restart Dos: Resource Consumption (Cpu)
Applicable Platforms
Languages: Assembly, C, C++, Memory-Unsafe
View CWE Details
Application

Numpy by Numpy

Version Range Affected
From 1.9.0 (inclusive)
To 1.9.3 (inclusive)
cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*
Common Platform Enumeration - Standardized vulnerability identification
https://github.com/numpy/numpy/issues/18939
https://github.com/numpy/numpy/issues/18939