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LOW

Division by 0 in `DenseCountSparseOutput`

Published May 14, 2021

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.

Affected products

Remediation

No remediation recorded yet.

Metrics

Weaknesses (1)

References (7)

Change history (0)

No recorded changes yet.

Sources
CVE.org / MITRE
Status PUBLISHED
Assigner GitHub_M
Published May 14, 2021
Updated Aug 3, 2024
Reserved Mar 30, 2021
NVD
Status Modified
Modified Jun 17, 2026
Red Hat
Severity n/a
Public date n/a
GHSA-QG48-85HG-MQC5