Skip to main content

Tensorflow CVE-2025-55556

MEDIUM
Embedded Malicious Code (CWE-506)
2025-09-25 cve@mitre.org
Information Disclosure Tensorflow AI / ML Red Hat
6.5
CVSS 3.1 · NVD
Share

Severity by source

NVD PRIMARY
6.5 MEDIUM
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L
Red Hat
6.5 MEDIUM
qualitative

Primary rating from NVD.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
Low
Availability
Low

Lifecycle Timeline

3
Analysis Generated
Mar 28, 2026 - 19:14 vuln.today
PoC Detected
Oct 03, 2025 - 18:08 vuln.today
Public exploit code
CVE Published
Sep 25, 2025 - 16:15 nvd
MEDIUM 6.5

DescriptionCVE.org

TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application.

AnalysisAI

TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified under CWE-506. TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application. Affected products include: Google Tensorflow.

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.

Vendor StatusVendor

Share

CVE-2025-55556 vulnerability details – vuln.today
Back

This site uses cookies essential for authentication and security. No tracking or analytics cookies are used. Privacy Policy