{"id":"CVE-2023-25669","aliases":["GHSA-rcf8-g8jv-vg6p","BIT-tensorflow-2023-25669","PYSEC-2026-1964","PYSEC-2026-3236","PYSEC-2026-3366"],"title":"TensorFlow has Floating Point Exception in AvgPoolGrad with XLA","summary":"TensorFlow has Floating Point Exception in AvgPoolGrad with XLA","severity":"high","cvss":7.5,"cvssVector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","vendor":"tensorflow","product":"tensorflow","ecosystem":"pip","affected":["tensorflow < 2.11.1","tensorflow-cpu < 2.11.1","tensorflow-gpu < 2.11.1"],"patched":["tensorflow 2.11.1","tensorflow-cpu 2.11.1","tensorflow-gpu 2.11.1"],"published":"2023-03-24","updated":"2026-09-10","sourceUpdated":"2026-09-10T03:49:56.991538651Z","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-rcf8-g8jv-vg6p","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2023-25669"},{"url":"https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d"},{"url":"https://github.com/tensorflow/tensorflow"}],"tags":["osv","pip"],"epss":0.00394,"epssPercentile":0.33336,"ingestedAt":"2026-07-08T18:25:52.691Z","slug":"CVE-2023-25669","body":"## Overview\n\n### Impact\nIf the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give an FPE.\n\n```python\nimport tensorflow as tf\nimport numpy as np\n\n@tf.function(jit_compile=True)\ndef test():\n   y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding=\"SAME\", data_format=\"NCHW\")\n   return y\n\nprint(test())\n```\n\n### Patches\nWe have patched the issue in GitHub commit [1295ae4dbb52fe06b19733b0257e2340d7b63b8d](https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d).\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\n### Attribution\nThis vulnerability has been reported by r3pwnx of 360 AIVul Team\n\n\n## Affected packages\n\n- `tensorflow < 2.11.1`\n- `tensorflow-cpu < 2.11.1`\n- `tensorflow-gpu < 2.11.1`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `tensorflow 2.11.1`\n- `tensorflow-cpu 2.11.1`\n- `tensorflow-gpu 2.11.1`","depth":"twilight","depthScore":41,"depthScoreParts":{"impact":41.3,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}