TensorFlow has Floating Point Exception in TFLite in conv kernel
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.
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 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 software
Click a technology to see all vulnerabilities affecting it.
| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.11.1 | 2.11.1 |
| Python (PyPI) | tensorflow-cpu | < 2.11.1 | 2.11.1 |
| Python (PyPI) | tensorflow-gpu | < 2.11.1 | 2.11.1 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5w96-866f-6rm8
- https://nvd.nist.gov/vuln/detail/CVE-2023-27579
- https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa
- https://github.com/tensorflow/tensorflow
- https://pypi.org/project/tensorflow
- https://github.com/advisories/GHSA-5w96-866f-6rm8
- https://pypi.org/project/tensorflow-cpu
- https://pypi.org/project/tensorflow-gpu
- CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H- Weakness (CWE)
CWE-697- Platform
- Python (PyPI)
- Package
tensorflow, tensorflow-cpu, tensorflow-gpu- Disclosed
- 24.03.2023
- Updated
- 11.10.2026 15:17
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-954 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3111 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3279 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-5w96-866f-6rm8 - CC BY 4.0
Vulnerability history: tensorflow
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 433
- First → latest
- 04.2019 07.2024
- Without a fix
- 0
- Exploited in attacks
- 0
Severity breakdown
- Critical 6
- High 112
- Medium 210
- Low 105
Disclosures per year
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 169
- 2023: 21
- 2024: 1
- 2025: 0
- 2026: 0
-
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