CVE-2023-25661 Denial of Service in TensorFlow
An attacker can crash TensorFlow models via invalid input to Convolution3DTranspose, causing denial of service in ML applications.
- Exploited in the wild
- Not known
- Login needed
- Any signed-in user
- Attackable
- Over the internet
- Victim action needed
- Not needed
- Fix
- Available
What is CVE-2023-25661?
CVE-2023-25661 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 27 Mar 2023. Any signed-in user can exploit it over the network, with no action from the victim.
Official description
TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the `Convolution3DTranspose` function. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. An attacker must have privilege to provide input to a `Convolution3DTranspose` call. This issue has been patched and users are advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.
Weakness: CWE-20
Which versions are affected by CVE-2023-25661?
7 open source packages ship an affected version, including tensorflow and tensorflow-cpu. It affects 1 product.
| Package | Affected | Fixed in |
|---|---|---|
tensorflow Bitnami | All versions | 2.11.1 |
tensorflow PyPI | All versions | 2.11.1 |
tensorflow PyPI | All versions | 2.11.1 |
tensorflow PyPI | All versions | 2.11.1 |
tensorflow-cpu PyPI | All versions | 2.11.1 |
tensorflow-cpu PyPI | All versions | 2.11.1 |
1 more packages
tensorflow-cpu PyPI | All versions | 2.11.1 |
Products include Google Tensorflow.
How do I fix CVE-2023-25661?
Upgrade tensorflow to 2.11.1 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-2023-25661 being exploited?
It is not confirmed as exploited in the wild, but public exploit code for CVE-2023-25661 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 AZL-31197, BIT-tensorflow-2023-25661, GHSA-fxgc-95xx-grvq, PYSEC-2026-1952, PYSEC-2026-3182.