VDB-188683 · CVE-2021-34141 · Issue 18993

NumPy 1.9.x numpy.core comparison

CVSS Meta Temp Score CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.	Current Exploit Price (≈) Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.	CTI Interest Score Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.6	$0-$5k	0.00

Summaryinfo

A vulnerability was found in NumPy 1.9.x. It has been classified as critical. Affected by this vulnerability is an unknown functionality of the component numpy.core. This manipulation causes comparison. This vulnerability appears as CVE-2021-34141. There is no available exploit.

Detailsinfo

A vulnerability was found in NumPy 1.9.x. It has been declared as critical. Affected by this vulnerability is an unknown code block of the component numpy.core. The manipulation with an unknown input leads to a comparison vulnerability. The CWE definition for the vulnerability is CWE-697. The product compares two entities in a security-relevant context, but the comparison is incorrect, which may lead to resultant weaknesses. As an impact it is known to affect confidentiality, integrity, and availability.

The weakness was presented 12/17/2021 as 18993. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2021-34141 since 06/07/2021. The technical details are unknown and an exploit is not publicly available.

The vulnerability scanner Nessus provides a plugin with the ID 210055 (NumPy < 1.22.0 Vulnerability - CVE-2021-34141), which helps to determine the existence of the flaw in a target environment.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at Tenable (210055). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

NumPy

Version

1.9.x

Website

Product: https://github.com/numpy/numpy/

CPE 2.3info

🔍

CPE 2.2info

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CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.6

VulDB Base Score: 5.5
VulDB Temp Score: 5.5
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

AV	AC	Au	C	I	A
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💳	💳	💳	💳	💳	💳
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Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Comparison
CWE: CWE-697
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-Day	Unlock	Unlock	Unlock	Unlock
Today	Unlock	Unlock	Unlock	Unlock

Nessus ID: 210055
Nessus Name: NumPy < 1.22.0 Vulnerability - CVE-2021-34141

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

06/07/2021 🔍
12/17/2021 +193 days 🔍
12/17/2021 +0 days 🔍
11/02/2024 +1051 days 🔍

Sourcesinfo

Product: github.com

Advisory: 18993
Status: Confirmed

CVE: CVE-2021-34141 (🔍)
GCVE (CVE): GCVE-0-2021-34141
GCVE (VulDB): GCVE-100-188683

Entryinfo

Created: 12/17/2021 22:33
Updated: 11/02/2024 13:05
Changes: 12/17/2021 22:33 (37), 12/24/2021 10:01 (1), 12/24/2021 10:03 (18), 11/02/2024 13:05 (16)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.