An issue was discovered TensorFlow v2.18.0. (CVE-2025-55559)
Description
A denial of service (DoS) vulnerability exists in TensorFlow version 2.18.0 when using the tf.keras.layers.Conv2D layer with padding set to 'valid'. This issue can cause the application to become unresponsive or crash. A patch is available to address this vulnerability.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
TensorFlow v2.18.0 contains a vulnerability where setting the padding parameter to 'valid' in the tf.keras.layers.Conv2D layer can trigger a denial of service condition. This flaw affects the specified version range >=2.18.0 <2.18.1. The vulnerability does not have a CVSS score but is rated as high severity by the source database. No known exploits are reported in the wild. A patch is available to remediate this issue.
Potential Impact
Exploitation of this vulnerability results in a denial of service, potentially causing TensorFlow-based applications to crash or become unresponsive when using Conv2D layers with padding set to 'valid'. This can disrupt machine learning workflows or services relying on this framework version.
Mitigation Recommendations
A patch is available for this vulnerability. Users should upgrade TensorFlow to a fixed version beyond 2.18.0 to mitigate the risk. Since this is not a cloud service, remediation requires updating the affected software in the deployment environment.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- BIT-tensorflow-2025-55559
- Osv Schema Version
- 1.6.2
- Aliases
- ["CVE-2025-55559"]
- Ecosystems
- ["Bitnami"]
- Database Specific Severity
- High
Threat ID: 6aa005bcacd9273b49ab5ac2
Added to database: 09/08/2026, 12:55:24 UTC
Last enriched: 09/08/2026, 13:14:06 UTC
Last updated: 10/23/2026, 01:15:20 UTC
Views: 28
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