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Severe, 6 weeks1498Projects326

1498 severe, 6 weeks · 326 projects

TensorFlowGHSA-xrqm-fpgr-6hhx

Overflow/crash in `tf.range`

TensorFlow

CVE-2021-41202 · Published Nov 10, 2021 · updated Jul 8, 2026

Medium5.5
Fix: upgrade to 2.4.4 or later (3 fixed versions below)
GitHub advisory

Impact

While calculating the size of the output within the tf.range kernel, there is a conditional statement of type int64 = condition ? int64 : double. Due to C++ implicit conversion rules, both branches of the condition will be cast to double and the result would be truncated before the assignment. This result in overflows:

```python

import tensorflow as tf

tf.sparse.eye(num_rows=9223372036854775807, num_columns=None)

`

Similarly, tf.range would result in crashes due to overflows if the start or end point are too large.

```python

import tensorflow as tf

tf.range(start=-1e+38, limit=1)

`

Patches

We have patched the issue in GitHub commits [6d94002a09711d297dbba90390d5482b76113899](https://github.com/tensorflow/tensorflow/commit/6d94002a09711d297dbba90390d5482b76113899) (merging [#51359](https://github.com/tensorflow/tensorflow/pull/51359)) and [1b0e0ec27e7895b9985076eab32445026ae5ca94](https://github.com/tensorflow/tensorflow/commit/1b0e0ec27e7895b9985076eab32445026ae5ca94) (merging [#51711](https://github.com/tensorflow/tensorflow/pull/51711)).

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

For more information

Please consult [our security...

Affected versions

PackageAffectedFixed in
tensorflow
PyPI
>= 2.6.0, < 2.6.12.6.1
>= 2.5.0, < 2.5.22.5.2
< 2.4.42.4.4
Details and references

### Impact While calculating the size of the output within the `tf.range` kernel, there is a conditional statement of type `int64 = condition ? int64 : double`. Due to C++ implicit conversion rules, both branches of the condition will be cast to `double` and the result would be truncated before the assignment. This result in overflows: ```python import tensorflow as tf tf.sparse.eye(num_rows=9223372036854775807, num_columns=None) ``` Similarly, `tf.range` would result in crashes due to overflows if the start or end point are too large. ```python import tensorflow as tf tf.range(start=-1e+38, limit=1) ``` ### Patches We have patched the issue in GitHub commits [6d94002a09711d297dbba90390d5482b76113899](https://github.com/tensorflow/tensorflow/commit/6d94002a09711d297dbba90390d5482b76113899) (merging [#51359](https://github.com/tensorflow/tensorflow/pull/51359)) and [1b0e0ec27e7895b9985076eab32445026ae5ca94](https://github.com/tensorflow/tensorflow/commit/1b0e0ec27e7895b9985076eab32445026ae5ca94) (merging [#51711](https://github.com/tensorflow/tensorflow/pull/51711)). The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 externally via [GitHub issue](https://github.com/tensorflow/tensorflow/issues/46912), [GitHub issue](https://github.com/tensorflow/tensorflow/issues/46899) and [GitHub issue](https://github.com/tensorflow/tensorflow/issues/46889).

CVSS 3.1
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-681
Also known as
BIT-tensorflow-2021-41202, CVE-2021-41202, PYSEC-2021-395, PYSEC-2021-612, PYSEC-2021-810

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