cbcvebase.
CVE-2021-29571
published 2021-05-14

CVE-2021-29571: TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of…

high7.8CVSS 3.1
AVLACLPRLUINSUCHIHAH
TensorFlow is an end-to-end open source platform for machine learning. 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. 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.

Affected

18 ranges
VendorProductVersion rangeFixed in
debiantensorflow
googletensorflow< 2.1.42.1.4
googletensorflow>= 2.2.0 < 2.2.32.2.3
googletensorflow>= 2.3.0 < 2.3.32.3.3
googletensorflow>= 2.4.0 < 2.4.22.4.2
inteloptimization_for_tensorflow>= 0 < 2.1.42.1.4
inteloptimization_for_tensorflow>= 0 < 79865b542f9ffdc9caeb255631f7c56f1d4b651779865b542f9ffdc9caeb255631f7c56f1d4b6517
inteloptimization_for_tensorflow>= 0 < 2.2.0rc02.2.0rc0
inteloptimization_for_tensorflow>= 2.2.0 < 2.2.32.2.3
inteloptimization_for_tensorflow>= 2.2.0 < 2.3.0rc02.3.0rc0
inteloptimization_for_tensorflow>= 2.3.0 < 2.3.32.3.3
inteloptimization_for_tensorflow>= 2.3.0 < 2.3.42.3.4
inteloptimization_for_tensorflow>= 2.4.0 < 2.4.22.4.2
inteloptimization_for_tensorflow>= 2.4.0 < 2.4.32.4.3
tensorflowtensorflow< 2.1.42.1.4
tensorflowtensorflow
tensorflowtensorflow
tensorflowtensorflow