CVE-2021-41226

HIGH7.1EPSS 0.02%

Heap OOB in `SparseBinCount`

發布日:2021/11/10修改日:2026/3/13
也稱為:GHSA-374m-jm66-3vj8BIT-tensorflow-2021-41226PYSEC-2021-418PYSEC-2021-635PYSEC-2021-833

描述

### 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.

受影響套件(7)

CVSS 分數

來源版本嚴重程度向量
osvCVSS 4.0CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N
osvCVSS 3.1HIGH7.1CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H

參考連結(7)