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.
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References
History
No history.
MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:10:46
Updated: 2024-08-03T22:11:05.702Z
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29548
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-05-14T20:15:12.807
Modified: 2024-11-21T06:01:21.440
Link: CVE-2021-29548
Redhat
No data.