Pytorch
CVE-2025-63396
LOW
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A06:2021 - Vulnerable and Outdated Components
ASVS 5.0
V15 - Secure Coding and Architecture Proper locking
|
| Impact | CVSS score of 3.3 (LOW). Attack characteristics: local attack vector, low complexity, low privileges required, no user interaction not required. Public proof-of-concept exploit code is available. EPSS exploitation probability: 0.03%. |
| Exploit ScenarioDerived | Successful exploitation could compromise the low-severity affected system. |
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Alert meAnalysisAIv1 – Mar 28, 2026
An issue was discovered in PyTorch v2.5 and v2.7.1. Rated low severity (CVSS 3.3), this vulnerability is low attack complexity. Public exploit code available and no vendor patch available.
RemediationAI
No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in pypi
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
This vulnerability is classified under CWE-667. An issue was discovered in PyTorch v2.5 and v2.7.1. Omission of profiler.stop() can cause torch.profiler.profile (PythonTracer) to crash or hang during finalization, leading to a Denial of Service (DoS). Affected products include: Linuxfoundation Pytorch.
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Severity by source
AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
Primary rating from Vendor (mitre) · only source for this CVE.
CVSS VectorVendor: mitre
Lifecycle Timeline
2DescriptionCVE.org
An issue was discovered in PyTorch v2.5 and v2.7.1. Omission of profiler.stop() can cause torch.profiler.profile (PythonTracer) to crash or hang during finalization, leading to a Denial of Service (DoS).
Executive ViewAI
CVE-2025-63396 is a low-severity vulnerability in PyTorch (CVSS 3.3). The limited severity suggests constrained impact, typically requiring specific conditions or local access for exploitation. Apply vendor updates when available as part of routine maintenance.
Apply vendor patch during routine maintenance. Standard security controls provide adequate interim protection.
Threat Intelligence Overview
NVD
CVE.org
EPSS
GitHub
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Denial of Service attacks render applications or systems unavailable by overwhelming resources or triggering failure conditions.
Affected Products (CPE)CVE.org
TorchServe is a tool for serving and scaling PyTorch models in production. Rated critical severity (CVSS 9.8), this vuln
In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. Rated critical severity (CVSS 9.8), this vulnerability is
PickleScan before 0.0.23 can be bypassed by flipping specific ZIP file header flag bits, allowing malicious pickle files
In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is
PyTorch is a Python package that provides tensor computation. [CVSS 8.8 HIGH]
A vulnerability in lightning-ai/pytorch-lightning version 2.3.2 allows an attacker to cause a denial of service by sendi
Out-of-bounds heap read in PyTorch torchvision's native GIF decoder (versions through 0.28.0) lets attackers who supply
picklescan before 0.0.23 is vulnerable to a ZIP archive manipulation attack that causes it to crash when attempting to e
TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. Rated critical sever
PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built
NVIDIA APEX for Linux contains a deserialization of untrusted data vulnerability that affects environments using PyTorch
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Rated medium severity (CVSS
Exploit-DB