CVE-2021-29571

Advisory

Intel-tensorflow 2.1.4, 2.2.3, 2.3.3, 2.4.2, and 2.5.0 include a fix for CVE-2021-29571: The implementation of 'tf.raw_ops.MaxPoolGradWithArgmax' can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation (https://github.com/tensorflow/tensorflow/blob/31bd5026304677faa8a0b77602c6154171b9aec1/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L116-L130) assumes that the last element of 'boxes' input is 4, as required by the op (https://www.tensorflow.org/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2). Since this is not checked attackers passing values less than 4 can write outside of bounds of heap allocated objects and cause memory corruption. If the last dimension in 'boxes' is less than 4, accesses similar to 'tboxes(b, bb, 3)' will access data outside of bounds. Further during code execution there are also writes to these indices.

Affected package

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

• https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29571
• https://github.com/tensorflow/tensorflow/commit/79865b542f9ffdc9caeb255631f7c56f1d4b6517
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-whr9-vfh2-7hm6