CVE

CVE-2023-25661

Date: (C)2023-03-29   (M)2023-11-10

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.

CVSS Score and Metrics +CVSS Score and Metrics -

CVSS V3 Severity:		CVSS V2 Severity:
CVSS Score : 6.5		CVSS Score :
Exploit Score: 2.8		Exploit Score:
Impact Score: 3.6		Impact Score:
CVSS V3 Metrics:		CVSS V2 Metrics:
Attack Vector: NETWORK		Access Vector:
Attack Complexity: LOW		Access Complexity:
Privileges Required: LOW		Authentication:
User Interaction: NONE		Confidentiality:
Scope: UNCHANGED		Integrity:
Confidentiality: NONE		Availability:
Integrity: NONE
Availability: HIGH

Reference:

https://github.com/tensorflow/tensorflow/commit/948fe6369a5711d4b4568ea9bbf6015c6dfb77e2

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxgc-95xx-grvq