TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.ReverseSequence
allows for stack overflow and/or CHECK
-fail based denial of service. The implementation(https://github.com/tensorflow/tensorflow/blob/5b3b071975e01f0d250c928b2a8f901cd53b90a7/tensorflow/core/kernels/reversesequenceop.cc#L114-L118) fails to validate that seq_dim
and batch_dim
arguments are valid. Negative values for seq_dim
can result in stack overflow or CHECK
-failure, depending on the version of Eigen code used to implement the operation. Similar behavior can be exhibited by invalid values of batch_dim
. 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.
{ "cpes": [ "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*" ], "severity": "Low" }