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TensorFlowGHSA-374m-jm66-3vj8

Heap OOB in `SparseBinCount`

Medium7.1CVE-2021-41226 · Published Nov 10, 2021 · updated Jul 8, 2026

### 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/ma...

GitHub advisory

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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