{"id":"CVE-2023-27579","aliases":["AZL-31208","AZL-35323","BIT-tensorflow-2023-27579","EUVD-2023-0889","GHSA-5w96-866f-6rm8","PYSEC-2026-3111","PYSEC-2026-3279","PYSEC-2026-954"],"status":"published","title":"TensorFlow has Floating Point Exception in TFLite in conv kernel","description":"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.","severity":{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-12","score":0.00394,"percentile":0.34079,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-697"],"published":"2023-03-24T21:53:39Z","modified":"2026-10-28T10:32:35Z","fixes":[{"ecosystem":"PyPI","package":"tensorflow","fixed_in":["2.11.1"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-cpu","fixed_in":["2.11.1"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-gpu","fixed_in":["2.11.1"],"sources":["ghsa","osv"]},{"ecosystem":"Azure Linux:2","package":"tensorflow","fixed_in":["2.11.1-1"],"sources":["osv"]},{"ecosystem":"Azure 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Advisory","advisory","web"]},{"url":"https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa","tags":["x_refsource_MISC","x_transferred","Patch","fix","web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2023-27579","tags":["web","advisory"]},{"url":"https://github.com/advisories/GHSA-5w96-866f-6rm8","tags":["advisory"]},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2023/27xxx/CVE-2023-27579.json","tags":["advisory"]},{"url":"https://github.com/tensorflow/tensorflow","tags":["package"]},{"url":"https://pypi.org/project/tensorflow","tags":["package"]},{"url":"https://pypi.org/project/tensorflow-cpu","tags":["package"]},{"url":"https://pypi.org/project/tensorflow-gpu","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2023-27579","title":"TensorFlow has Floating Point Exception in TFLite in conv kernel","description":"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.\n","status":"published","published":"2023-03-24T23:05:09.206Z","modified":"2025-02-19T20:45:08.642Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high","assessor":"cna"}],"cwes":["CWE-697"],"updated_at":"2026-11-02T14:35:26.261013Z"}],"euvd":[{"id":"EUVD-2023-0889","description":"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.\n","status":"published","published":"2023-03-24T23:05:09Z","modified":"2025-02-19T20:45:08Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high"}],"updated_at":"2026-11-02T20:53:26.792701Z"}],"ghsa":[{"id":"GHSA-5w96-866f-6rm8","title":"TensorFlow has Floating Point Exception in TFLite in conv kernel","description":"### Impact\nConstructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE.\n\n\n### Patches\nWe have patched the issue in GitHub commit [34f8368c535253f5c9cb3a303297743b62442aaa](https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa).\n\nThe fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.\n\n\n### For more information\nPlease 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.\n\n### Attribution\nThis vulnerability was reported by Wang Xuan of Qihoo 360 AIVul Team.\n","status":"published","published":"2023-03-24T21:53:39Z","modified":"2023-03-30T22:23:37Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high"}],"cwes":["CWE-697"],"updated_at":"2026-11-02T14:36:48.905887Z"}],"nvd":[{"id":"CVE-2023-27579","description":"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.\n","status":"published","published":"2023-03-25T00:15:08.183Z","modified":"2026-06-17T05:45:30.59Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high","assessor":"secondary"},{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high","assessor":"primary"}],"cwes":["CWE-697"],"updated_at":"2026-11-02T14:07:50.908252Z"}],"osv":[{"id":"AZL-31208","title":"CVE-2023-27579 affecting package tensorflow for versions less than 2.11.1-1","description":"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.\n","status":"published","published":"2023-03-25T00:15:08Z","modified":"2026-04-21T04:26:08.995263Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high"}],"updated_at":"2026-11-02T15:28:03.46006Z"},{"id":"AZL-35323","title":"CVE-2023-27579 affecting package tensorflow for versions less than 2.11.1-1","description":"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.\n","status":"published","published":"2023-03-25T00:15:08Z","modified":"2026-04-21T04:34:23.823099Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high"}],"updated_at":"2026-11-02T15:28:04.173658Z"},{"id":"CVE-2023-27579","title":"TensorFlow has Floating Point Exception in TFLite in conv kernel","description":"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.\n","status":"published","published":"2023-03-24T23:05:09.206Z","modified":"2026-10-28T10:32:35.706815751Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high"}],"cwes":["CWE-697"],"updated_at":"2026-11-02T15:44:31.135751Z"},{"id":"GHSA-5w96-866f-6rm8","title":"TensorFlow has Floating Point Exception in TFLite in conv kernel","description":"### Impact\nConstructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE.\n\n\n### Patches\nWe have patched the issue in GitHub commit [34f8368c535253f5c9cb3a303297743b62442aaa](https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa).\n\nThe fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.\n\n\n### For more information\nPlease 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.\n\n### Attribution\nThis vulnerability was reported by Wang Xuan of Qihoo 360 AIVul Team.\n","status":"published","published":"2023-03-24T21:53:39Z","modified":"2026-09-10T03:49:52.692533859Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high"}],"cwes":["CWE-697"],"updated_at":"2026-11-02T15:46:38.911014Z"},{"id":"PYSEC-2026-3111","title":"TensorFlow has Floating Point Exception in TFLite in conv kernel","description":"### Impact\nConstructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE.\n\n\n### Patches\nWe have patched the issue in GitHub commit [34f8368c535253f5c9cb3a303297743b62442aaa](https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa).\n\nThe fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.\n\n\n### For more information\nPlease 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.\n\n### Attribution\nThis vulnerability was reported by Wang Xuan of Qihoo 360 AIVul Team.\n","status":"published","published":"2026-07-13T14:19:57.293092Z","modified":"2026-07-13T16:42:42.84284815Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high"}],"updated_at":"2026-11-02T15:52:56.429374Z"},{"id":"PYSEC-2026-3279","title":"TensorFlow has Floating Point Exception in TFLite in conv kernel","description":"### Impact\nConstructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE.\n\n\n### Patches\nWe have patched the issue in GitHub commit [34f8368c535253f5c9cb3a303297743b62442aaa](https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa).\n\nThe fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.\n\n\n### For more information\nPlease 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.\n\n### Attribution\nThis vulnerability was reported by Wang Xuan of Qihoo 360 AIVul Team.\n","status":"published","published":"2026-07-13T14:19:57.401217Z","modified":"2026-07-13T16:42:42.84284815Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high"}],"updated_at":"2026-11-02T15:52:56.847083Z"},{"id":"PYSEC-2026-954","title":"TensorFlow has Floating Point Exception in TFLite in conv kernel","description":"### Impact\nConstructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE.\n\n\n### Patches\nWe have patched the issue in GitHub commit [34f8368c535253f5c9cb3a303297743b62442aaa](https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa).\n\nThe fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.\n\n\n### For more information\nPlease 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.\n\n### Attribution\nThis vulnerability was reported by Wang Xuan of Qihoo 360 AIVul Team.\n","status":"published","published":"2026-07-07T10:17:28.763356Z","modified":"2026-07-13T16:42:42.84284815Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high"}],"updated_at":"2026-11-02T15:52:58.117212Z"},{"id":"BIT-tensorflow-2023-27579","title":"TensorFlow has Floating Point Exception in TFLite in conv kernel","description":"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.","status":"published","published":"2024-03-06T11:06:50.569Z","modified":"2026-09-08T08:48:20.661551632Z","updated_at":"2026-11-02T15:28:36.104787Z"}]}}