TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc) does not validate all constraints specified in the op's contract(https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
History

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cve-icon MITRE Information

Status: PUBLISHED

Assigner: GitHub_M

Published: 2021-05-14T19:10:46

Updated: 2021-05-14T19:10:46

Reserved: 2021-03-30T00:00:00


Link: CVE-2021-29548

JSON object: View

cve-icon NVD Information

Status : Analyzed

Published: 2021-05-14T20:15:12.807

Modified: 2021-05-20T15:17:34.747


Link: CVE-2021-29548

JSON object: View

cve-icon Redhat Information

No data.

CWE