CWE
20
Advisory Published
Advisory Published
Updated

CVE-2021-37673: `CHECK`-fail in `MapStage` in TensorFlow

First published: Thu Aug 12 2021(Updated: )

### Impact An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`: ```python import tensorflow as tf tf.raw_ops.MapStage( key=tf.constant([], shape=[0, 0, 0, 0], dtype=tf.int64), indices=tf.constant((0), dtype=tf.int32), values=[tf.constant((0), dtype=tf.int32)], dtypes=[tf.int32, tf.int64], capacity=0, memory_limit=0, container='', shared_name='') ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L513) does not check that the `key` input is a valid non-empty tensor. ### Patches We have patched the issue in GitHub commit [d7de67733925de196ec8863a33445b73f9562d1d](https://github.com/tensorflow/tensorflow/commit/d7de67733925de196ec8863a33445b73f9562d1d). The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team.

Credit: security-advisories@github.com security-advisories@github.com

Affected SoftwareAffected VersionHow to fix
Google TensorFlow>=2.3.0<2.3.4
Google TensorFlow>=2.4.0<2.4.3
Google TensorFlow=2.5.0
Google TensorFlow=2.6.0-rc0
Google TensorFlow=2.6.0-rc1
Google TensorFlow=2.6.0-rc2
pip/tensorflow-gpu=2.5.0
2.5.1
pip/tensorflow-gpu>=2.4.0<2.4.3
2.4.3
pip/tensorflow-gpu<2.3.4
2.3.4
pip/tensorflow-cpu=2.5.0
2.5.1
pip/tensorflow-cpu>=2.4.0<2.4.3
2.4.3
pip/tensorflow-cpu<2.3.4
2.3.4
pip/tensorflow=2.5.0
2.5.1
pip/tensorflow>=2.4.0<2.4.3
2.4.3
pip/tensorflow<2.3.4
2.3.4

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