Name | CVE-2023-25661 |
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. |
Source | CVE (at NVD; CERT, LWN, oss-sec, fulldisc, Red Hat, Ubuntu, Gentoo, SUSE bugzilla/CVE, GitHub advisories/code/issues, web search, more) |
Vulnerable and fixed packages
The table below lists information on source packages.
Source Package | Release | Version | Status |
---|
tensorflow (PTS) | forky, sid | 2.14.1+dfsg-3 | fixed |
The information below is based on the following data on fixed versions.
Package | Type | Release | Fixed Version | Urgency | Origin | Debian Bugs |
---|
tensorflow | source | (unstable) | (not affected) | | | |
Notes
- tensorflow <not-affected> (Fixed before initial upload to the archive)
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxgc-95xx-grvq
https://github.com/tensorflow/tensorflow/commit/948fe6369a5711d4b4568ea9bbf6015c6dfb77e2 (v2.12.0-rc0)