TensorFlow has Floating Point Exception in TFLite in conv kernel
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| tensorflow | tensorflow | affected |
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No data.
No data available yet.
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2023-0889 | TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1. |
Github GHSA |
GHSA-5w96-866f-6rm8 | TensorFlow has Floating Point Exception in TFLite in conv kernel |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.394% probability within 30 days)
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