Tensorflow is an Open Source Machine Learning Framework. 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. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c78-vcq7-7vxq | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/6c0b2b70eeee588591680f5b7d5d38175fd7cdf6 | Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2022-02-04 15:15
Updated : 2022-02-09 10:13
NVD link : CVE-2022-23561
Mitre link : CVE-2022-23561
JSON object : View
CWE
CWE-787
Out-of-bounds Write
Products Affected
- tensorflow