TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedReshape` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a324ac84e573fba362a5e53d4e74d5de6729933e/tensorflow/core/kernels/quantized_reshape_op.cc#L38-L55) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow. 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

Status: PUBLISHED

Assigner: GitHub_M

Published: 2021-05-14T19:11:46

Updated: 2024-08-03T22:11:05.449Z

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

Link: CVE-2021-29536

cve-icon Vulnrichment

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cve-icon NVD

Status : Analyzed

Published: 2021-05-14T20:15:12.260

Modified: 2021-07-26T16:02:44.303

Link: CVE-2021-29536

cve-icon Redhat

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