{"id":"GHSA-gf97-q72m-7579","summary":"TensorFlow has Null Pointer Error in RandomShuffle with XLA enable ","details":"### Impact\nNPE in RandomShuffle with XLA enable \n```python\nimport tensorflow as tf\n\nfunc = tf.raw_ops.RandomShuffle\npara = {'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649}\n\n@tf.function(jit_compile=True)\ndef test():\n   y = func(**para)\n   return y\n\ntest()\n```\n\n### Patches\nWe have patched the issue in GitHub commit [728113a3be690facad6ce436660a0bc1858017fa](https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa).\n\nThe fix will be included in TensorFlow 2.12.0. 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\n","aliases":["BIT-tensorflow-2023-25674","CVE-2023-25674"],"modified":"2023-12-06T01:02:54.592302Z","published":"2023-03-24T21:54:31Z","database_specific":{"severity":"HIGH","github_reviewed":true,"nvd_published_at":"2023-03-25T00:15:00Z","cwe_ids":["CWE-476"],"github_reviewed_at":"2023-03-24T21:54:31Z"},"references":[{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf97-q72m-7579"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2023-25674"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa"},{"type":"PACKAGE","url":"https://github.com/tensorflow/tensorflow"}],"affected":[{"package":{"name":"tensorflow","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow"},"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","2.6.0rc0","2.6.0rc1","2.6.0rc2","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/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-gf97-q72m-7579/GHSA-gf97-q72m-7579.json"}},{"package":{"name":"tensorflow-cpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-cpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.11.1"}]}],"versions":["1.15.0","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","2.7.1","2.7.2","2.7.3","2.7.4","2.8.0","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/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-gf97-q72m-7579/GHSA-gf97-q72m-7579.json"}},{"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/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-gf97-q72m-7579/GHSA-gf97-q72m-7579.json"}}],"schema_version":"1.7.3","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H"}]}