{"id":"CVE-2023-25801","aliases":["AZL-31206","AZL-35322","BIT-tensorflow-2023-25801","EUVD-2023-0992","GHSA-f49c-87jh-g47q","PYSEC-2026-3166","PYSEC-2026-3314","PYSEC-2026-985"],"status":"published","title":"TensorFlow has double free in Fractional(Max/Avg)Pool","description":"TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `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. A fix is included in TensorFlow 2.12.0 and 2.11.1.","severity":{"version":"3.1","score":8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H","level":"high","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-10","score":0.0015,"percentile":0.04227,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-415"],"published":"2023-03-24T21:53:49Z","modified":"2026-10-28T10:38:30Z","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 Linux:3","package":"tensorflow","fixed_in":["2.11.1-1"],"sources":["osv"]},{"ecosystem":"Bitnami","package":"tensorflow","fixed_in":["2.12.0"],"sources":["osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.11.1"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.11.1"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.11.1"}]}]},{"source":"osv","ecosystem":"Azure Linux:2","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.11.1-1"}]}]},{"source":"osv","ecosystem":"Azure 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Advisory","advisory","web"]},{"url":"https://github.com/tensorflow/tensorflow/commit/ee50d1e00f81f62a4517453f721c634bbb478307","tags":["x_refsource_MISC","x_transferred","Patch","fix","web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2023-25801","tags":["web","advisory"]},{"url":"https://github.com/advisories/GHSA-f49c-87jh-g47q","tags":["advisory"]},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2023/25xxx/CVE-2023-25801.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-2023-25801","title":"TensorFlow has double free in Fractional(Max/Avg)Pool","description":"TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `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. A fix is included in TensorFlow 2.12.0 and 2.11.1.","status":"published","published":"2023-03-24T23:08:50.251Z","modified":"2025-02-19T20:44:31.15Z","cvss":[{"version":"3.1","score":8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H","level":"high","assessor":"cna"}],"cwes":["CWE-415"],"updated_at":"2026-11-02T14:35:19.959682Z"}],"euvd":[{"id":"EUVD-2023-0992","description":"TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `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. A fix is included in TensorFlow 2.12.0 and 2.11.1.","status":"published","published":"2023-03-24T23:08:50Z","modified":"2025-02-19T20:44:31Z","cvss":[{"version":"3.1","score":8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T20:53:26.792701Z"}],"ghsa":[{"id":"GHSA-f49c-87jh-g47q","title":"TensorFlow has double free in Fractional(Max/Avg)Pool","description":"### 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","status":"published","published":"2023-03-24T21:53:49Z","modified":"2023-06-13T15:08:30Z","cvss":[{"version":"3.1","score":8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H","level":"high"}],"cwes":["CWE-415"],"updated_at":"2026-11-02T14:36:53.103029Z"}],"nvd":[{"id":"CVE-2023-25801","description":"TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `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. A fix is included in TensorFlow 2.12.0 and 2.11.1.","status":"published","published":"2023-03-25T00:15:08.12Z","modified":"2026-06-17T05:42:01.01Z","cvss":[{"version":"3.1","score":8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H","level":"high","assessor":"secondary"},{"version":"3.1","score":7.8,"vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high","assessor":"primary"}],"cwes":["CWE-415"],"updated_at":"2026-11-02T14:07:50.908252Z"}],"osv":[{"id":"AZL-31206","title":"CVE-2023-25801 affecting package tensorflow for versions less than 2.11.1-1","description":"TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `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. A fix is included in TensorFlow 2.12.0 and 2.11.1.","status":"published","published":"2023-03-25T00:15:08Z","modified":"2026-04-21T04:26:09.24141Z","cvss":[{"version":"3.1","score":7.8,"vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:28:03.46006Z"},{"id":"AZL-35322","title":"CVE-2023-25801 affecting package tensorflow for versions less than 2.11.1-1","description":"TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `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. A fix is included in TensorFlow 2.12.0 and 2.11.1.","status":"published","published":"2023-03-25T00:15:08Z","modified":"2026-04-21T04:34:01.689298Z","cvss":[{"version":"3.1","score":7.8,"vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:28:04.173658Z"},{"id":"CVE-2023-25801","title":"TensorFlow has double free in Fractional(Max/Avg)Pool","description":"TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `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. A fix is included in TensorFlow 2.12.0 and 2.11.1.","status":"published","published":"2023-03-24T23:08:50.251Z","modified":"2026-10-28T10:38:30.751231579Z","cvss":[{"version":"3.1","score":8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H","level":"high"}],"cwes":["CWE-415"],"updated_at":"2026-11-02T15:44:31.135751Z"},{"id":"GHSA-f49c-87jh-g47q","title":"TensorFlow has double free in Fractional(Max/Avg)Pool","description":"### 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","status":"published","published":"2023-03-24T21:53:49Z","modified":"2026-07-13T16:42:31.32857448Z","cvss":[{"version":"3.1","score":8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H","level":"high"}],"cwes":["CWE-415"],"updated_at":"2026-11-02T15:46:46.006631Z"},{"id":"PYSEC-2026-3166","title":"TensorFlow has double free in Fractional(Max/Avg)Pool","description":"### 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","status":"published","published":"2026-07-13T14:19:57.515314Z","modified":"2026-07-13T16:42:31.32857448Z","cvss":[{"version":"3.1","score":8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:52:56.429374Z"},{"id":"PYSEC-2026-3314","title":"TensorFlow has double free in Fractional(Max/Avg)Pool","description":"### 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","status":"published","published":"2026-07-13T14:19:57.620947Z","modified":"2026-07-13T16:42:31.32857448Z","cvss":[{"version":"3.1","score":8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:52:56.847083Z"},{"id":"PYSEC-2026-985","title":"TensorFlow has double free in Fractional(Max/Avg)Pool","description":"### 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","status":"published","published":"2026-07-07T10:17:28.82628Z","modified":"2026-07-13T16:42:31.32857448Z","cvss":[{"version":"3.1","score":8,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:52:58.117212Z"},{"id":"BIT-tensorflow-2023-25801","title":"TensorFlow has double free in Fractional(Max/Avg)Pool","description":"TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `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. A fix is included in TensorFlow 2.12.0 and 2.11.1.","status":"published","published":"2024-03-06T11:07:03.074Z","modified":"2026-09-08T08:48:20.727040884Z","updated_at":"2026-11-02T15:28:36.104787Z"}]}}