{"id":"PYSEC-2026-985","summary":"TensorFlow has double free in Fractional(Max/Avg)Pool","details":"### Impact\n`nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported.\n\n```python\nimport tensorflow as tf\nimport os\nimport numpy as np\nfrom tensorflow.python.ops import nn_ops\ntry:\n  arg_0_tensor = tf.random.uniform([3, 30, 50, 3], dtype=tf.float64)\n  arg_0 = tf.identity(arg_0_tensor)\n  arg_1_0 = 2\n  arg_1_1 = 3\n  arg_1_2 = 1\n  arg_1_3 = 1\n  arg_1 = [arg_1_0,arg_1_1,arg_1_2,arg_1_3,]\n  arg_2 = True\n  arg_3 = True\n  seed = 341261001\n  out = nn_ops.fractional_avg_pool_v2(arg_0,arg_1,arg_2,arg_3,seed=seed,)\nexcept Exception as e:\n  print(\"Error:\"+str(e))\n```\n\n### Patches\nWe have patched the issue in GitHub commit [ee50d1e00f81f62a4517453f721c634bbb478307](https://github.com/tensorflow/tensorflow/commit/ee50d1e00f81f62a4517453f721c634bbb478307).\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 [dmc1778](https://github.com/dmc1778), of [nimashiri2012@gmail.com](mailto:nimashiri2012@gmail.com).\n","aliases":["BIT-tensorflow-2023-25801","CVE-2023-25801","GHSA-f49c-87jh-g47q"],"modified":"2026-07-07T11:56:05.855336309Z","published":"2026-07-07T10:17:28.826280Z","references":[{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f49c-87jh-g47q"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2023-25801"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/commit/ee50d1e00f81f62a4517453f721c634bbb478307"},{"type":"PACKAGE","url":"https://github.com/tensorflow/tensorflow"},{"type":"PACKAGE","url":"https://pypi.org/project/tensorflow-gpu"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-f49c-87jh-g47q"}],"affected":[{"package":{"name":"tensorflow-gpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-gpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.11.1"}]}],"versions":["0.12.0","0.12.1","1.0.0","1.0.1","1.1.0","1.10.0","1.10.1","1.11.0","1.12.0","1.12.2","1.12.3","1.13.1","1.13.2","1.14.0","1.15.0","1.15.2","1.15.3","1.15.4","1.15.5","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.9.0","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.10.0","2.10.0rc0","2.10.0rc1","2.10.0rc2","2.10.0rc3","2.10.1","2.11.0","2.11.0rc0","2.11.0rc1","2.11.0rc2","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2","2.3.3","2.3.4","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.5.3","2.6.0","2.6.1","2.6.2","2.6.3","2.6.4","2.6.5","2.7.0","2.7.0rc0","2.7.0rc1","2.7.1","2.7.2","2.7.3","2.7.4","2.8.0","2.8.0rc0","2.8.0rc1","2.8.1","2.8.2","2.8.3","2.8.4","2.9.0","2.9.0rc0","2.9.0rc1","2.9.0rc2","2.9.1","2.9.2","2.9.3"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2026-985.yaml"}}],"schema_version":"1.7.5","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H"}]}