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Severe, 6 weeks1498Projects326

1498 severe, 6 weeks · 326 projects

TensorFlowGHSA-f8h4-7rgh-q2gm

Segfault and heap buffer overflow in `{Experimental,}DatasetToTFRecord`

TensorFlow

CVE-2021-37650 · Published Aug 25, 2021 · updated Jul 8, 2026

High7.8
Fix: upgrade to 2.3.4 or later (3 fixed versions below)
GitHub advisory

Impact

The implementation for tf.raw_ops.ExperimentalDatasetToTFRecord and tf.raw_ops.DatasetToTFRecord can trigger heap buffer overflow and segmentation fault:

```python

import tensorflow as tf

dataset = tf.data.Dataset.range(3)

dataset = tf.data.experimental.to_variant(dataset)

tf.raw_ops.ExperimentalDatasetToTFRecord(

input_dataset=dataset,

filename='/tmp/output',

compression_type='')

`

The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/data/experimental/to_tf_record_op.cc#L93-L102) assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types.

Patches

We have patched the issue in GitHub commit [e0b6e58c328059829c3eb968136f17aa72b6c876](https://github.com/tensorflow/tensorflow/commit/e0b6e58c328059829c3eb968136f17aa72b6c876).

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...

Affected versions

PackageAffectedFixed in
tensorflow
PyPI
< 2.3.42.3.4
>= 2.4.0, < 2.4.32.4.3
>= 2.5.0, < 2.5.12.5.1
Details and references

### Impact The implementation for `tf.raw_ops.ExperimentalDatasetToTFRecord` and `tf.raw_ops.DatasetToTFRecord` can trigger heap buffer overflow and segmentation fault: ```python import tensorflow as tf dataset = tf.data.Dataset.range(3) dataset = tf.data.experimental.to_variant(dataset) tf.raw_ops.ExperimentalDatasetToTFRecord( input_dataset=dataset, filename='/tmp/output', compression_type='') ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/data/experimental/to_tf_record_op.cc#L93-L102) assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types. ### Patches We have patched the issue in GitHub commit [e0b6e58c328059829c3eb968136f17aa72b6c876](https://github.com/tensorflow/tensorflow/commit/e0b6e58c328059829c3eb968136f17aa72b6c876). 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 members of the Aivul Team from Qihoo 360.

CVSS 3.1
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-120, CWE-787
Also known as
BIT-tensorflow-2021-37650, CVE-2021-37650, PYSEC-2021-272, PYSEC-2021-563, PYSEC-2021-761

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