cbcvebase.
CVE-2021-29549
published 2021-05-14

CVE-2021-29549: TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in…

medium5.5CVSS 3.1
AVLACLPRLUINSUCNINAH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L289-L295) computes a modulo operation without validating that the divisor is not zero. Since `vector_num_elements` is determined based on input shapes(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L522-L544), a user can trigger scenarios where this quantity is 0. 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 < 744009c9e5cc5d0447f0dc39d055f917e1fd9e16744009c9e5cc5d0447f0dc39d055f917e1fd9e16
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