Safety vulnerability ID: 57741
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow-rocm versions 2.5.3, 2.6.3, 2.7.1 and 2.8.0 include a fix for CVE-2022-23561: An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c78-vcq7-7vxq
Latest version: 2.14.0.600
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