What is the CVSS score of CVE-2025-55554?

CVE-2025-55554 has a CVSS 3.1 base score of 5.3 (Medium). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L. EPSS exploitation probability: 0.1%.

Which versions of AI / ML are affected by CVE-2025-55554?

Organizations using pytorch v2.8.0 should be aware of moderate risk from CVE-2025-55554, a integer overflow vulnerability rated CVSS 5.3.. A patch is available.

How to fix or mitigate CVE-2025-55554?

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

AI / ML CVE-2025-55554

MEDIUM

Integer Overflow or Wraparound (CWE-190)

2025-09-25 cve@mitre.org

Buffer Overflow Integer Overflow Red Hat AI / ML Pytorch Suse

5.3

CVSS 3.1

CVSS VectorNVD

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

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

Low

Lifecycle Timeline

Analysis Generated

Mar 28, 2026 - 19:14 vuln.today

CVE Published

Sep 25, 2025 - 16:15 nvd

MEDIUM 5.3

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 contain an integer overflow in the component torch.nan_to_num-.long().

AnalysisAI

pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long(). Rated medium severity (CVSS 5.3), 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 contain an integer overflow in the component torch.nan_to_num-.long(). 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.