{"id":"CVE-2022-41900","aliases":["GHSA-xvwp-h6jv-7472","BIT-tensorflow-2022-41900","PYSEC-2026-1049"],"title":"FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess","summary":"FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess","severity":"high","cvss":7.1,"cvssVector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H","vendor":"tensorflow","product":"tensorflow","ecosystem":"pip","affected":["tensorflow < 2.8.4","tensorflow >= 2.9.0, < 2.9.3","tensorflow >= 2.10.0, < 2.10.1","tensorflow-cpu < 2.8.4","tensorflow-gpu < 2.8.4","tensorflow-cpu >= 2.9.0, < 2.9.3","tensorflow-gpu >= 2.9.0, < 2.9.3","tensorflow-cpu >= 2.10.0, < 2.10.1","tensorflow-gpu >= 2.10.0, < 2.10.1"],"patched":["tensorflow 2.8.4","tensorflow 2.9.3","tensorflow 2.10.1","tensorflow-cpu 2.8.4","tensorflow-gpu 2.8.4","tensorflow-cpu 2.9.3","tensorflow-gpu 2.9.3","tensorflow-cpu 2.10.1","tensorflow-gpu 2.10.1"],"published":"2022-11-21","updated":"2026-07-07","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-xvwp-h6jv-7472","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2022-41900"},{"url":"https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48"},{"url":"https://github.com/tensorflow/tensorflow"}],"tags":["osv","pip"],"epss":0.00631,"epssPercentile":0.48562,"ingestedAt":"2026-07-08T18:25:54.695Z","slug":"CVE-2022-41900","body":"## Overview\n\n### Impact\nAn input `pooling_ratio` that is smaller than 1 will trigger a heap OOB in [`tf.raw_ops.FractionalMaxPool`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_max_pool_op.cc) and [`tf.raw_ops.FractionalAvgPool`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_avg_pool_op.cc).\n\n### Patches\nWe have patched the issue in GitHub commit [216525144ee7c910296f5b05d214ca1327c9ce48](https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48).\n\nThe fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.\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## Affected packages\n\n- `tensorflow < 2.8.4`\n- `tensorflow >= 2.9.0, < 2.9.3`\n- `tensorflow >= 2.10.0, < 2.10.1`\n- `tensorflow-cpu < 2.8.4`\n- `tensorflow-gpu < 2.8.4`\n- `tensorflow-cpu >= 2.9.0, < 2.9.3`\n- `tensorflow-gpu >= 2.9.0, < 2.9.3`\n- `tensorflow-cpu >= 2.10.0, < 2.10.1`\n- `tensorflow-gpu >= 2.10.0, < 2.10.1`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `tensorflow 2.8.4`\n- `tensorflow 2.9.3`\n- `tensorflow 2.10.1`\n- `tensorflow-cpu 2.8.4`\n- `tensorflow-gpu 2.8.4`\n- `tensorflow-cpu 2.9.3`\n- `tensorflow-gpu 2.9.3`\n- `tensorflow-cpu 2.10.1`\n- `tensorflow-gpu 2.10.1`","depth":"twilight","depthScore":39,"depthScoreParts":{"impact":39.1,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}