CVE-2023-27579
HIGH7.5EPSS 0.21%TensorFlow has Floating Point Exception in TFLite in conv kernel
Description
### Impact Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. ### Patches We have patched the issue in GitHub commit [34f8368c535253f5c9cb3a303297743b62442aaa](https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa). The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability was reported by Wang Xuan of Qihoo 360 AIVul Team.
Affected packages (4)
- Bitnami/tensorflowfrom 0, < 2.12.0
- PyPI/tensorflowfrom 0, < 2.11.1
- PyPI/tensorflow-cpufrom 0, < 2.11.1
- PyPI/tensorflow-gpufrom 0, < 2.11.1
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 3.1 | HIGH7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |