CVE-2025-55556: n/a
TensorFlow version 2.18.0 has a vulnerability that causes it to output random results when compiling Embedding layers, which can lead to unexpected application behavior. This issue impacts the integrity and availability of applications relying on this functionality.
AI Analysis
Technical Summary
CVE-2025-55556 identifies a vulnerability in TensorFlow v2.18.0 where the compilation of Embedding layers produces random results. This defect can cause applications using this version of TensorFlow to behave unpredictably, potentially affecting their reliability and correctness. The CVSS score of 6.5 indicates a medium severity with no confidentiality impact but with integrity and availability impacts. No official patch or remediation has been documented yet.
Potential Impact
The vulnerability leads to integrity and availability issues by causing random outputs during Embedding compilation, which may result in application errors or failures. There is no confidentiality impact reported. No known exploits are currently observed in the wild.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, users should consider avoiding TensorFlow v2.18.0 for applications relying on Embedding compilation or implement additional validation to detect unexpected outputs.
CVE-2025-55556: n/a
Description
TensorFlow version 2.18.0 has a vulnerability that causes it to output random results when compiling Embedding layers, which can lead to unexpected application behavior. This issue impacts the integrity and availability of applications relying on this functionality.
CVSS v3.1
Score 6.5medium
Affected software
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-55556 identifies a vulnerability in TensorFlow v2.18.0 where the compilation of Embedding layers produces random results. This defect can cause applications using this version of TensorFlow to behave unpredictably, potentially affecting their reliability and correctness. The CVSS score of 6.5 indicates a medium severity with no confidentiality impact but with integrity and availability impacts. No official patch or remediation has been documented yet.
Potential Impact
The vulnerability leads to integrity and availability issues by causing random outputs during Embedding compilation, which may result in application errors or failures. There is no confidentiality impact reported. No known exploits are currently observed in the wild.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, users should consider avoiding TensorFlow v2.18.0 for applications relying on Embedding compilation or implement additional validation to detect unexpected outputs.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2025-08-13T00:00:00.000Z
- State
- PUBLISHED
Threat ID: 68d5da079e21be37e937d092
Added to database: 09/26/2025, 00:10:47 UTC
Last enriched: 09/08/2026, 13:14:14 UTC
Last updated: 09/10/2026, 19:36:51 UTC
Views: 300
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