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)
| Reporter | Title | Published | Views | Family All 131 |
|---|---|---|---|---|
 | Security Bulletin: IBM Spectrum Discover is vulnerable to multiple vulnerabilities | 23 Aug 202222:32 | – | ibm |
| Security Bulletin: IBM Watson Speech Services Cartridge for IBM Cloud Pak for Data is vulnerable to a denial of service, caused by a buffer overflow in NumPy (CVE-2021-41496) | 12 Jan 202321:59 | – | ibm |
| Security Bulletin: IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in NumPy | 30 Mar 202215:20 | – | ibm |
 | CVE-2021-41496 | 17 Dec 202120:15 | – | attackerkb |
 | NumPy array_from_pyobj DoS | 3 Feb 202500:00 | – | bdu_fstec |
 | CVE-2021-41496 affecting package numpy 1.16.6-2 | 12 Jan 202203:54 | – | cbl_mariner |
| CVE-2021-41496 affecting package numpy for versions less than 1.22.0-1 | 9 Apr 202206:51 | – | cbl_mariner |
 | CVE-2021-41496 | 17 Dec 202122:37 | – | circl |
 | NumPy 安全漏洞 | 17 Dec 202100:00 | – | cnnvd |
 | CVE-2021-41496 | 17 Dec 202119:56 | – | cve |
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28 Dec 2021 08:00Current
6.9Medium risk
Vulners AI Score6.9
CVSS 22.1
CVSS 3.15.5
EPSS0.00396