What is the CVSS score of CVE-2025-55552?

CVE-2025-55552 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-2025-55552?

Organizations using pytorch v2.8.0 face notable risk from CVE-2025-55552, a integer overflow vulnerability rated CVSS 7.5.. A patch is available.

How to fix or mitigate CVE-2025-55552?

Within 30 days: Identify all affected systems and apply vendor patches as part of regular patch cycle. Monitor vendor channels for patch availability.

AI / ML CVE-2025-55552

HIGH

Integer Overflow or Wraparound (CWE-190)

2025-09-25 cve@mitre.org

Information Disclosure Integer Overflow 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

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

51 pypi packages depend on torch (40 direct, 12 indirect)

Ecosystem-wide dependent count for version 2.9.0.

DescriptionNVD

pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.

AnalysisAI

pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together. Rated high severity (CVSS 7.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.

Technical ContextAI

This vulnerability is classified as Integer Overflow (CWE-190), which allows attackers to cause unexpected behavior through arithmetic overflow. pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together. Affected products include: Linuxfoundation Pytorch.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Validate arithmetic operations, use safe integer libraries, check bounds before allocation.