Missing validation results in undefined behavior in `SparseTensorDenseAdd

GHSA-rc9w-5c64-9vqq · BIT-tensorflow-2022-29206 · CVE-2022-29206 · PYSEC-2026-1032 · PYSEC-2026-3235 · PYSEC-2026-3365 · 갱신 2026. 7. 14.

생태계	패키지	수정 버전
PyPI	tensorflow	2.6.42.7.22.8.1
PyPI	tensorflow-cpu	2.6.42.7.22.8.1
PyPI	tensorflow-gpu	2.6.42.7.22.8.1

Impact

The implementation of tf.raw_ops.SparseTensorDenseAdd does not fully validate the input arguments:

import tensorflow as tf

a_indices = tf.constant(0, shape=[17, 2], dtype=tf.int64)
a_values = tf.constant([], shape=[0], dtype=tf.float32)
a_shape = tf.constant([6, 12], shape=[2], dtype=tf.int64)

b = tf.constant(-0.223668531, shape=[6, 12], dtype=tf.float32)

tf.raw_ops.SparseTensorDenseAdd(
    a_indices=a_indices, a_values=a_values, a_shape=a_shape, b=b)

In this case, a reference gets bound to a nullptr during kernel execution. This is UB.

Patches

We have patched the issue in GitHub commit 11ced8467eccad9c7cb94867708be8fa5c66c730.

The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Neophytos Christou from Secure Systems Lab at Brown University.

Missing validation results in undefined behavior in `SparseTensorDenseAdd

Missing validation results in undefined behavior in `SparseTensorDenseAdd

영향 받는 패키지

원문

Impact

Patches

For more information

Attribution

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