CVE-2023-27579
TensorFlow has Floating Point Exception in TFLite in conv kernel
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.
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- None
- User interaction
- None
What an attacker can affect
- Confidentiality
- None
- Integrity
- None
- Availability
- High
Exploit likelihood
What each source reports
CVE List Score used
7.5
TensorFlow has Floating Point Exception in TFLite in conv kernel
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.
- Record
CVE-2023-27579- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Weakness
- CWE-697
- Updated
- 2026-11-02
EUVDEUVD-2023-0889
7.5
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.
- Record
EUVD-2023-0889- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
GitHub AdvisoriesGHSA-5w96-866f-6rm8
7.5
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.
- Record
GHSA-5w96-866f-6rm8- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Weakness
- CWE-697
- Updated
- 2026-11-02
NVD
7.5
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.
- Record
CVE-2023-27579- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Weakness
- CWE-697
- Updated
- 2026-11-02
OSVAZL-31208
7.5
CVE-2023-27579 affecting package tensorflow for versions less than 2.11.1-1
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.
- Record
AZL-31208- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVAZL-35323
7.5
CVE-2023-27579 affecting package tensorflow for versions less than 2.11.1-1
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.
- Record
AZL-35323- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
Show 6 moreShow less
OSV
7.5
TensorFlow has Floating Point Exception in TFLite in conv kernel
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.
- Record
CVE-2023-27579- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Weakness
- CWE-697
- Updated
- 2026-11-02
OSVGHSA-5w96-866f-6rm8
7.5
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.
- Record
GHSA-5w96-866f-6rm8- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Weakness
- CWE-697
- Updated
- 2026-11-02
OSVPYSEC-2026-3111
7.5
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.
- Record
PYSEC-2026-3111- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVPYSEC-2026-3279
7.5
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.
- Record
PYSEC-2026-3279- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVPYSEC-2026-954
7.5
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.
- Record
PYSEC-2026-954- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVBIT-tensorflow-2023-27579 No score
TensorFlow has Floating Point Exception in TFLite in conv kernel
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.
- Record
BIT-tensorflow-2023-27579- Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
tensorflowPyPI |
before 2.11.1 | 2.11.1 |
tensorflow-cpuPyPI |
before 2.11.1 | 2.11.1 |
tensorflow-gpuPyPI |
before 2.11.1 | 2.11.1 |
tensorflowAzure Linux:2 |
before 2.11.1-1 | 2.11.1-1 |
tensorflowAzure Linux:3 |
before 2.11.1-1 | 2.11.1-1 |
tensorflowBitnami |
before 2.12.0 | 2.12.0 |
tensorflowPyPI |
before 2.11.1, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.10.02.10.0rc02.10.0rc12.10.0rc22.10.0rc32.10.12.11.02.11.0rc02.11.0rc1 |
2.11.1 |
tensorflow-cpuPyPI |
before 2.11.1, plus listed versions 1.15.02.1.02.1.12.1.22.1.3 Show 45 moreShow less2.1.42.10.02.10.0rc02.10.0rc12.10.0rc22.10.0rc32.10.12.11.02.11.0rc02.11.0rc12.11.0rc22.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.22.5.32.6.02.6.12.6.22.6.32.6.42.6.52.7.02.7.12.7.22.7.32.7.42.8.02.8.12.8.22.8.32.8.4 |
2.11.1 |
tensorflow-gpuPyPI |
before 2.11.1, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.10.02.10.0rc02.10.0rc12.10.0rc22.10.0rc32.10.12.11.02.11.0rc02.11.0rc1 |
2.11.1 |
History
| Recorded | Changed | Sources |
|---|---|---|
| first indexed | CVE List, EUVD, GitHub Advisories, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2023-27579 is a high vulnerability (CVSS 7.5) in Google Tensorflow, published March 24, 2023. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.39%, the 33rd percentile. Fixed in tensorflow 2.11.1.
References
github.com/tensorflow/tensorflow/security/advisories/GHSA-5w96-866f-6rm8
github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa
nvd.nist.gov/vuln/detail/CVE-2023-27579
github.com/advisories/GHSA-5w96-866f-6rm8
github.com/CVEProject/cvelistV5/tree/main/cves/2023/27xxx/CVE-2023-27579.json
github.com/tensorflow/tensorflow
pypi.org/project/tensorflow
pypi.org/project/tensorflow-cpu
pypi.org/project/tensorflow-gpu
Left out here: 102 versions. The JSON record has them.