TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedMul` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/87cf4d3ea9949051e50ca3f071fc909538a51cd0/tensorflow/core/kernels/quantized_mul_op.cc#L287-L290) assumes that the 4 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.
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History
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MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:11:52
Updated: 2024-08-03T22:11:05.562Z
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29535
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-05-14T20:15:12.210
Modified: 2024-11-21T06:01:19.823
Link: CVE-2021-29535
Redhat
No data.