CVE-2022-23590 Crash due to erroneous `StatusOr` in Tensorflow
Attackers can crash TensorFlow processes by providing a maliciously altered SavedModel, requiring an upgrade to patched versions.
- Exploited in the wild
- Not known
- Login needed
- Not needed
- Attackable
- Over the internet
- Victim action needed
- Not needed
- Fix
- Available
What is CVE-2022-23590?
CVE-2022-23590 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 4 Feb 2022. An attacker can exploit it over the internet without logging in, with no action from the victim.
Official description
Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.
Weakness: CWE-754
Which versions are affected by CVE-2022-23590?
10 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 | 2.7.1 |
tensorflow PyPI | All versions | 2.7.1 |
tensorflow PyPI | All versions | 2.7.1 |
tensorflow PyPI | All versions | 2.7.1 |
tensorflow-cpu PyPI | All versions | 2.7.1 |
tensorflow-cpu PyPI | All versions | 2.7.1 |
4 more packages
tensorflow-cpu PyPI | All versions | 2.7.1 |
tensorflow-gpu PyPI | All versions | 2.7.1 |
tensorflow-gpu PyPI | All versions | 2.7.1 |
tensorflow-gpu PyPI | All versions | 2.7.1 |
Products include Google Tensorflow.
How do I fix CVE-2022-23590?
Upgrade tensorflow to 2.7.1 or later.
Upgrade, then put limits on request size, rate and nesting depth so one client cannot exhaust the service. More about Denial of service.
Is CVE-2022-23590 being exploited?
It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-23590 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-2022-23590, GHSA-pqrv-8r2f-7278, PYSEC-2022-154, PYSEC-2022-99, PYSEC-2026-3225.