TensorFlow has Floating Point Exception in TFLite in conv kernel
High7.5CVE-2023-27579 · Published Mar 24, 2023 · updated Sep 10, 2026
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| tensorflow PyPI | < 2.11.1 | 2.11.1 |
Details and references
### 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.
- CVSS 3.1
- CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-697
- Also known as
- BIT-tensorflow-2023-27579, CVE-2023-27579, PYSEC-2026-3111, PYSEC-2026-3279, PYSEC-2026-954
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