TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape. 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
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MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:15:34
Updated: 2024-08-03T22:11:06.285Z
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29582
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-05-14T20:15:14.390
Modified: 2024-11-21T06:01:25.697
Link: CVE-2021-29582
Redhat
No data.