{"id":"CVE-2023-25675","aliases":["GHSA-7x4v-9gxg-9hwj","BIT-tensorflow-2023-25675","PYSEC-2026-3131","PYSEC-2026-3294","PYSEC-2026-967"],"title":"TensorFlow has Segfault in Bincount with XLA","summary":"TensorFlow has Segfault in Bincount 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":"2026-09-10T03:49:52.795020507Z","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-7x4v-9gxg-9hwj","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7x4v-9gxg-9hwj"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2023-25675"},{"url":"https://github.com/tensorflow/tensorflow/commit/8ae76cf085f4be26295d2ecf2081e759e04b8acf"},{"url":"https://github.com/tensorflow/tensorflow"}],"tags":["osv","pip"],"epss":0.00394,"epssPercentile":0.33432,"ingestedAt":"2026-07-08T18:25:47.246Z","slug":"CVE-2023-25675","body":"## Overview\n\n### Impact\nWhen running with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor.\n\n```python\nimport tensorflow as tf\n\nfunc = tf.raw_ops.Bincount\npara={'arr': 6, 'size': 804, 'weights': [52, 351]}\n\n@tf.function(jit_compile=True)\ndef fuzz_jit():\n y = func(**para)\n return y\n\nprint(fuzz_jit())\n```\n\n### Patches\nWe have patched the issue in GitHub commit [8ae76cf085f4be26295d2ecf2081e759e04b8acf](https://github.com/tensorflow/tensorflow/commit/8ae76cf085f4be26295d2ecf2081e759e04b8acf).\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":[]}