TensorFlow is an end-to-end open source platform for machine learning. An attacker can read data outside of bounds of heap allocated buffer in `tf.raw_ops.QuantizeAndDequantizeV3`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/11ff7f80667e6490d7b5174aa6bf5e01886e770f/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L237) does not validate the value of user supplied `axis` attribute before using it to index in the array backing the `input` argument. 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: 2021-05-14T19:10:20

Updated: 2021-05-14T19:10:20

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


Link: CVE-2021-29553

JSON object: View

cve-icon NVD Information

Status : Analyzed

Published: 2021-05-14T20:15:13.117

Modified: 2021-05-21T18:48:57.590


Link: CVE-2021-29553

JSON object: View

cve-icon Redhat Information

No data.

CWE