What is the CVSS score of CVE-2025-55553?

CVE-2025-55553 has a CVSS 3.1 base score of 7.5 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H. EPSS exploitation probability: 0.1%.

Which versions of AI / ML are affected by CVE-2025-55553?

Organizations using the component proxy_tensor.py of pytorch face notable risk from CVE-2025-55553 rated CVSS 7.5. Exploitation could compromise the security of affected deployments.. A patch is available.

How to fix or mitigate CVE-2025-55553?

Within 7 days: Identify all affected systems running the component proxy_tensor.py of pytorch and apply vendor patches promptly. Vendor patch is available.

AI / ML CVE-2025-55553

HIGH

Uncaught Exception (CWE-248)

2025-09-25 cve@mitre.org

Denial Of Service Red Hat AI / ML Pytorch Suse

7.5

CVSS 3.1

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

High

Lifecycle Timeline

Analysis Generated

Mar 28, 2026 - 19:14 vuln.today

Patch released

Mar 28, 2026 - 19:14 nvd

Patch available

CVE Published

Sep 25, 2025 - 16:15 nvd

HIGH 7.5

Blast Radius

ecosystem impact

† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth

212 pypi packages depend on torch (185 direct, 27 indirect)

Ecosystem-wide dependent count for version 2.7.1.

DescriptionNVD

A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).

AnalysisAI

A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS). Rated high severity (CVSS 7.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity.

Technical ContextAI

This vulnerability is classified under CWE-248. A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS). Affected products include: Linuxfoundation Pytorch.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.