Goal Reached Thanks to every supporter — we hit 100%!

Goal: 1000 CNY · Raised: 1000 CNY

100.0%
Get alerts for future matching vulnerabilitiesLog in to subscribe
I. Basic Information for CVE-2025-46150
Vulnerability Information

Have questions about the vulnerability? See if Shenlong's analysis helps!
View Shenlong Deep Dive ↗

Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.

Vulnerability Title
N/A
Source: NVD (National Vulnerability Database)
Vulnerability Description
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
Source: NVD (National Vulnerability Database)
CVSS Information
N/A
Source: NVD (National Vulnerability Database)
Vulnerability Type
N/A
Source: NVD (National Vulnerability Database)
Vulnerability Title
PyTorch 安全漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
PyTorch是PyTorch开源的一个 Python 包。 PyTorch 2.7.0之前版本存在安全漏洞,该漏洞源于使用torch.compile时FractionalMaxPool2d产生不一致结果。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)
Affected Products
VendorProductAffected VersionsCPESubscribe
-n/a n/a -
II. Public POCs for CVE-2025-46150
#POC DescriptionSource LinkShenlong Link
AI-Generated POCPremium

No public POC found.

Login to generate AI POC
III. Intelligence Information for CVE-2025-46150
Please Login to view more intelligence information
IV. Related Vulnerabilities
V. Comments for CVE-2025-46150

No comments yet


Leave a comment