cbcvebase.
CVE-2021-29532
published 2021-05-14

CVE-2021-29532: TensorFlow is an end-to-end open source platform for machine learning. An attacker can force accesses outside the bounds of heap allocated arrays by passing in…

high7.1CVSS 3.1
AVLACLPRLUINSUCHINAH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to `tf.raw_ops.RaggedCross`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efea03b38fb8d3b81762237dc85e579cc5fc6e87/tensorflow/core/kernels/ragged_cross_op.cc#L456-L487) lacks validation for the user supplied arguments. Each of the above branches call a helper function after accessing array elements via a `*_list[next_*]` pattern, followed by incrementing the `next_*` index. However, as there is no validation that the `next_*` values are in the valid range for the corresponding `*_list` arrays, this results in heap OOB reads. 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 < 44b7f486c0143f68b56c34e2d01e146ee445134a44b7f486c0143f68b56c34e2d01e146ee445134a
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