CVE-2022-29206 Missing validation results in undefined behavior in `SparseTensorDenseAdd` in TensorFlow
An attacker can cause a null pointer dereference and undefined behavior in TensorFlow's SparseTensorDenseAdd operation by providing invalid input arguments.
- Exploited in the wild
- Not known
- Login needed
- Any signed-in user
- Attackable
- Local or same network only
- Victim action needed
- Not needed
- Fix
- Available
What is CVE-2022-29206?
CVE-2022-29206 is a medium-severity vulnerability in Google Tensorflow, published on 20 May 2022. It can only be exploited from the same machine or local network, with no action from the victim.
Official description
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorDenseAdd` does not fully validate the input arguments. In this case, a reference gets bound to a `nullptr` during kernel execution. This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Which versions are affected by CVE-2022-29206?
22 open source packages ship an affected version, including tensorflow, tensorflow-cpu and tensorflow-gpu. It affects 1 product.
| Package | Affected | Fixed in |
|---|---|---|
tensorflow Bitnami | All versions | 2.6.4, 2.7.2, 2.8.1 |
tensorflow PyPI | All versions | 2.6.4, 2.7.2, 2.8.1 |
tensorflow PyPI | All versions | 2.6.4 |
tensorflow PyPI | All versions | 2.6.4 |
tensorflow PyPI | From 2.7.0 | 2.7.2 |
tensorflow PyPI | From 2.7.0 | 2.7.2 |
16 more packages
tensorflow PyPI | From 2.8.0 | 2.8.1 |
tensorflow PyPI | From 2.8.0 | 2.8.1 |
tensorflow-cpu PyPI | All versions | 2.6.4, 2.7.2, 2.8.1 |
tensorflow-cpu PyPI | All versions | 2.6.4 |
tensorflow-cpu PyPI | All versions | 2.6.4 |
tensorflow-cpu PyPI | From 2.7.0 | 2.7.2 |
tensorflow-cpu PyPI | From 2.7.0 | 2.7.2 |
tensorflow-cpu PyPI | From 2.8.0 | 2.8.1 |
tensorflow-cpu PyPI | From 2.8.0 | 2.8.1 |
tensorflow-gpu PyPI | All versions | 2.6.4, 2.7.2, 2.8.1 |
tensorflow-gpu PyPI | All versions | 2.6.4 |
tensorflow-gpu PyPI | All versions | 2.6.4 |
tensorflow-gpu PyPI | From 2.7.0 | 2.7.2 |
tensorflow-gpu PyPI | From 2.7.0 | 2.7.2 |
tensorflow-gpu PyPI | From 2.8.0 | 2.8.1 |
tensorflow-gpu PyPI | From 2.8.0 | 2.8.1 |
Products include Google Tensorflow.
How do I fix CVE-2022-29206?
Upgrade tensorflow to a fixed version for your release line: 2.6.4, 2.7.2 or 2.8.1.
Is CVE-2022-29206 being exploited?
It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-29206 exists.
Other vulnerabilities in Google Tensorflow
- CVE-2023-25668 TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation
- CVE-2018-7575 Integer Overflow or Wraparound in Google TensorFlow
- CVE-2021-37678 Arbitrary code execution due to YAML deserialization
- CVE-2021-35958 Path traversal in n/a
- CVE-2020-15202 Integer truncation in Shard API usage
Sources
Also known as BIT-tensorflow-2022-29206, GHSA-rc9w-5c64-9vqq, PYSEC-2026-1032, PYSEC-2026-3235, PYSEC-2026-3365.