Denial of Service (DoS) Affecting torch package, versions [0,]


Severity

Recommended
0.0
high
0
10

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Threat Intelligence

Exploit Maturity
Proof of Concept

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  • Snyk IDSNYK-PYTHON-TORCH-13918561
  • published13 Nov 2025
  • disclosed12 Nov 2025
  • creditDaisy2ang

Introduced: 12 Nov 2025

NewCVE-2025-63396  (opens in a new tab)
CWE-400  (opens in a new tab)

How to fix?

There is no fixed version for torch.

Overview

torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration

Affected versions of this package are vulnerable to Denial of Service (DoS) due to the omission of calling profiler.stop during the finalization process. An attacker can cause the application to crash or hang by triggering code paths that utilize the profiling functionality without proper termination.

Details

Denial of Service (DoS) describes a family of attacks, all aimed at making a system inaccessible to its intended and legitimate users.

Unlike other vulnerabilities, DoS attacks usually do not aim at breaching security. Rather, they are focused on making websites and services unavailable to genuine users resulting in downtime.

One popular Denial of Service vulnerability is DDoS (a Distributed Denial of Service), an attack that attempts to clog network pipes to the system by generating a large volume of traffic from many machines.

When it comes to open source libraries, DoS vulnerabilities allow attackers to trigger such a crash or crippling of the service by using a flaw either in the application code or from the use of open source libraries.

Two common types of DoS vulnerabilities:

  • High CPU/Memory Consumption- An attacker sending crafted requests that could cause the system to take a disproportionate amount of time to process. For example, commons-fileupload:commons-fileupload.

  • Crash - An attacker sending crafted requests that could cause the system to crash. For Example, npm ws package

CVSS Base Scores

version 4.0
version 3.1