{"id":"PYSEC-2026-1026","summary":"Missing validation results in undefined behavior in `QuantizedConv2D`","details":"### Impact\nThe implementation of [`tf.raw_ops.QuantizedConv2D`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantized_conv_ops.cc) does not fully validate the input arguments:\n\n```python\nimport tensorflow as tf\n\ninput = tf.constant(1, shape=[1, 2, 3, 3], dtype=tf.quint8)\nfilter = tf.constant(1, shape=[1, 2, 3, 3], dtype=tf.quint8)\n\n# bad args\nmin_input = tf.constant([], shape=[0], dtype=tf.float32)\nmax_input = tf.constant(0, shape=[], dtype=tf.float32)\nmin_filter = tf.constant(0, shape=[], dtype=tf.float32)\nmax_filter = tf.constant(0, shape=[], dtype=tf.float32)\n\ntf.raw_ops.QuantizedConv2D(\n  input=input,\n  filter=filter,\n  min_input=min_input,\n  max_input=max_input,\n  min_filter=min_filter,\n  max_filter=max_filter, \n  strides=[1, 1, 1, 1],\n  padding=\"SAME\")\n```\n\nIn this case, references get bound to `nullptr` for each argument that is empty (in the example, all arguments in the `bad args` section).\n\n### Patches\nWe have patched the issue in GitHub commit [0f0b080ecde4d3dfec158d6f60da34d5e31693c4](https://github.com/tensorflow/tensorflow/commit/0f0b080ecde4d3dfec158d6f60da34d5e31693c4).\n\nThe fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.\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### Attribution\nThis vulnerability has been reported by Neophytos Christou from Secure Systems Lab at Brown University.\n","aliases":["BIT-tensorflow-2022-29201","CVE-2022-29201","GHSA-pqhm-4wvf-2jg8","PYSEC-2026-3224","PYSEC-2026-3358"],"modified":"2026-07-13T16:42:43.587332564Z","published":"2026-07-06T08:03:29.592599Z","references":[{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqhm-4wvf-2jg8"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2022-29201"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/commit/0f0b080ecde4d3dfec158d6f60da34d5e31693c4"},{"type":"PACKAGE","url":"https://github.com/tensorflow/tensorflow"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantized_conv_ops.cc"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"},{"type":"PACKAGE","url":"https://pypi.org/project/tensorflow-gpu"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-pqhm-4wvf-2jg8"}],"affected":[{"package":{"name":"tensorflow-gpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-gpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.6.4"},{"introduced":"2.7.0"},{"fixed":"2.7.2"},{"introduced":"2.8.0"},{"fixed":"2.8.1"}]}],"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","2.2.0","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","2.7.0","2.7.1","2.8.0"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2026-1026.yaml"}}],"schema_version":"1.7.5","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H"}]}