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Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

TensorFlowGHSA-374m-jm66-3vj8

Heap OOB in `SparseBinCount`

TensorFlow

CVE-2021-41226 · Published Nov 10, 2021 · updated Jul 8, 2026

Medium7.1
Fix: upgrade to 2.4.4 or later (3 fixed versions below)
GitHub advisory

Impact

The [implementation](https://github.com/tensorflow/tensorflow/blob/e71b86d47f8bc1816bf54d7bddc4170e47670b97/tensorflow/core/kernels/bincount_op.cc#L353-L417) of SparseBinCount is vulnerable to a heap OOB:

```python

import tensorflow as tf

tf.raw_ops.SparseBincount(

indices=[[0],[1],[2]]

values=[0,-10000000]

dense_shape=[1,1]

size=[1]

weights=[3,2,1]

binary_output=False)

`

This is because of missing validation between the elements of the values argument and the shape of the sparse output:

```cc

for (int64_t i = 0; i < indices_mat.dimension(0); ++i) {

const int64_t batch = indices_mat(i, 0);

const Tidx bin = values(i);

...

out(batch, bin) = ...;

}

`

Patches

We have patched the issue in GitHub commit [f410212e373eb2aec4c9e60bf3702eba99a38aba](https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba).

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 by members of the Aivul Team...

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 The [implementation](https://github.com/tensorflow/tensorflow/blob/e71b86d47f8bc1816bf54d7bddc4170e47670b97/tensorflow/core/kernels/bincount_op.cc#L353-L417) of `SparseBinCount` is vulnerable to a heap OOB: ```python import tensorflow as tf tf.raw_ops.SparseBincount( indices=[[0],[1],[2]] values=[0,-10000000] dense_shape=[1,1] size=[1] weights=[3,2,1] binary_output=False) ``` This is because of missing validation between the elements of the `values` argument and the shape of the sparse output: ```cc for (int64_t i = 0; i < indices_mat.dimension(0); ++i) { const int64_t batch = indices_mat(i, 0); const Tidx bin = values(i); ... out(batch, bin) = ...; } ``` ### Patches We have patched the issue in GitHub commit [f410212e373eb2aec4c9e60bf3702eba99a38aba](https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba). 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 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:N/A:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-125
Also known as
BIT-tensorflow-2021-41226, CVE-2021-41226, PYSEC-2021-418, PYSEC-2021-635, PYSEC-2021-833

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