NumPy up to 1.18 fortranobject.c array_from_pyobj buffer overflow ⚔ [Disputed]

Summaryinfo

A vulnerability was found in NumPy up to 1.18. It has been rated as critical. This affects the function array_from_pyobj of the file fortranobject.c. Performing a manipulation results in buffer overflow. This vulnerability is known as CVE-2021-41496. No exploit is available. It is still unclear if this vulnerability genuinely exists. Upgrading the affected component is advised.

Detailsinfo

A vulnerability classified as problematic has been found in NumPy up to 1.18. This affects the function array_from_pyobj of the file fortranobject.c. The manipulation with an unknown input leads to a buffer overflow vulnerability. CWE is classifying the issue as CWE-120. The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. This is going to have an impact on availability.

The weakness was published 12/17/2021 as 19000. The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2021-41496 since 09/20/2021. Technical details are known, but no exploit is available.

The real existence of this vulnerability is still doubted at the moment.

Upgrading to version 1.19 eliminates this vulnerability.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Name

• NumPy

Version

• 1.0
• 1.1
• 1.2
• 1.3
• 1.4
• 1.5
• 1.6
• 1.7
• 1.8
• 1.9
• 1.10
• 1.11
• 1.12
• 1.13
• 1.14
• 1.15
• 1.16
• 1.17
• 1.18

Website

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

CPE 2.3info

• 🔍
• 🔍
• 🔍

CPE 2.2info

• 🔍
• 🔍
• 🔍

CVSSv4info

CVSSv3info

CVSSv2info

Exploitinginfo

Threat Intelligenceinfo

Countermeasuresinfo

Timelineinfo

Sourcesinfo

Entryinfo

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Discussion