Bug 2398198 (CVE-2025-55559)
| Summary: | CVE-2025-55559 tensorflow: Conv2D with 'valid' padding causes XLA compile crash leading to denial of service | ||
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| Product: | [Other] Security Response | Reporter: | OSIDB Bzimport <bzimport> |
| Component: | vulnerability | Assignee: | Product Security DevOps Team <prodsec-dev> |
| Status: | NEW --- | QA Contact: | |
| Severity: | medium | Docs Contact: | |
| Priority: | medium | ||
| Version: | unspecified | CC: | caswilli, jkoehler, kaycoth, lphiri |
| Target Milestone: | --- | Keywords: | Security |
| Target Release: | --- | ||
| Hardware: | All | ||
| OS: | Linux | ||
| Whiteboard: | |||
| Fixed In Version: | Doc Type: | --- | |
| Doc Text: |
A flaw was found in TensorFlow. When a model uses tf.keras.layers.Conv2D with padding='valid' and is compiled using XLA, the compiler miscalculates the output shape and ends up with a negative dimension. This causes the process to crash during compilation, leading to a denial of service. The same operation works correctly in eager mode because it checks dimensions dynamically, but under XLA the static shape calculation fails and stops execution.
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Story Points: | --- |
| Clone Of: | Environment: | ||
| Last Closed: | Type: | --- | |
| Regression: | --- | Mount Type: | --- |
| Documentation: | --- | CRM: | |
| Verified Versions: | Category: | --- | |
| oVirt Team: | --- | RHEL 7.3 requirements from Atomic Host: | |
| Cloudforms Team: | --- | Target Upstream Version: | |
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Description
OSIDB Bzimport
2025-09-25 16:01:46 UTC
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