CVE-2025-55559
published 2025-09-25CVE-2025-55559: An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in tf.keras.layers.Conv2D.
PriorityP335high7.5CVSS 3.1
AVNACLPRNUINSUCNINAH
EPSS
0.20%
10.6th percentile
An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in tf.keras.layers.Conv2D.
Affected
2 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | — | — |
CVSS provenance
nvdv3.17.5HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
osv7.5HIGH
vendor_debian7.5LOW
vendor_redhat7.5HIGH
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OSV
CVE-2025-55559: An issue was discovered TensorFlow v2
osv·2025-09-25·CVSS 7.5
CVE-2025-55559 [HIGH] CVE-2025-55559: An issue was discovered TensorFlow v2
An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in tf.keras.layers.Conv2D.
GHSA
GHSA-49v8-592x-2x5p: An issue was discovered TensorFlow v2
ghsa_unreviewed·2025-09-25
CVE-2025-55559 [HIGH] CWE-400 GHSA-49v8-592x-2x5p: An issue was discovered TensorFlow v2
An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in tf.keras.layers.Conv2D.
Red Hat
tensorflow: Conv2D with 'valid' padding causes XLA compile crash leading to denial of service
vendor_redhat·2025-09-25·CVSS 7.5
CVE-2025-55559 [HIGH] tensorflow: Conv2D with 'valid' padding causes XLA compile crash leading to denial of service
tensorflow: Conv2D with 'valid' padding causes XLA compile crash leading to denial of service
An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in tf.keras.layers.Conv2D.
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.
Statement: The impact is MODERATE because the flaw only causes a denial of service and cannot be used to access data o
Debian
CVE-2025-55559: tensorflow - An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs whe...
vendor_debian·2025·CVSS 7.5
CVE-2025-55559 [HIGH] CVE-2025-55559: tensorflow - An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs whe...
An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in tf.keras.layers.Conv2D.
Scope: local
forky: open
sid: open
No detection rules found.
No public exploits indexed.
2025-09-25
Published