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EUVD-2025-7523

🗓️ 03 Oct 2025 20:07:09Reported by EUVDType 
euvd
 euvd🔗 euvd.enisa.europa.eu👁 4 Views

Vulnerability in PyTorch 2.6.0+cu124 affects nnq_Sigmoid, leading to improper initialization risks.

Related
Affected
Refs
ReporterTitlePublishedViews
Family
IBM Security Bulletins		Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in torch-2.6.0-cp313-cp313-manylinux1_x86_64.whl
22 Oct 202511:23
–ibm
IBM Security Bulletins		Security Bulletin: IBM watsonx Orchestrate Cartridge affected by vulnerability in torch-2.6.0-cp313-cp313-manylinux1_x86_64.whl
20 Sep 202511:38
–ibm
IBM Security Bulletins		Security Bulletin: Multiple security vulnerabilities affecting IBM Knowledge Catalog for IBM Cloud Pak for Data
13 May 202618:27
–ibm
IBM Security Bulletins		Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in torch-2.6.0-cp313-cp313-manylinux1_x86_64.whl
22 Oct 202511:02
–ibm
IBM Security Bulletins		Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in torch-2.6.0-cp313-cp313-manylinux1_x86_64.whl
11 Nov 202516:14
–ibm
IBM Security Bulletins		Security Bulletin: Multiple Vulnerabilities in IBM watsonx Code Assistant On Prem
22 Jul 202512:10
–ibm
IBM Security Bulletins		Security Bulletin: IBM Maximo Application Suite Ai-Service Component uses A vulnerability was found in PyTorch 2.6.0+cu124. It has been declared as critical. Affected by this vulnerability is the function torch
9 May 202509:01
–ibm
BDU FSTEC		The vulnerability of the nnq_Sigmoid() function in the Quantized Sigmoid Module framework of the PyTorch machine learning library allows attackers to exploit it to compromise the integrity of protected information.
13 Mar 202500:00
–bdu_fstec
Circl		CVE-2025-2149
10 Mar 202513:10
–circl
CNNVD		PyTorch 安全漏洞
10 Mar 202500:00
–cnnvd
Rows per page
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03 Oct 2025 20:07Current
4.1Medium risk
Vulners AI Score4.1
CVSS 42
CVSS 21
CVSS 3.12.5
CVSS 32.5
EPSS0.00233
SSVC
pytorch vulnerabilityquantized sigmoid moduleimproper initializationlocal attackhigh complexity
4