{"id":"CVE-2022-41883","aliases":["GHSA-w58w-79xv-6vcj","BIT-tensorflow-2022-41883","PYSEC-2026-1042"],"title":"Out of bounds segmentation fault due to unequal op inputs in Tensorflow","summary":"Out of bounds segmentation fault due to unequal op inputs in Tensorflow","severity":"medium","cvss":6.8,"cvssVector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H","vendor":"tensorflow","product":"tensorflow","ecosystem":"pip","affected":["tensorflow >= 2.10.0, < 2.10.1","tensorflow-cpu >= 2.10.0, < 2.10.1","tensorflow-gpu >= 2.10.0, < 2.10.1"],"patched":["tensorflow 2.10.1","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-w58w-79xv-6vcj","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w58w-79xv-6vcj"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2022-41883"},{"url":"https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629"},{"url":"https://github.com/tensorflow/tensorflow"},{"url":"https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc"},{"url":"https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc"}],"tags":["osv","pip"],"epss":0.00376,"epssPercentile":0.31398,"ingestedAt":"2026-07-08T18:25:53.553Z","slug":"CVE-2022-41883","body":"## Overview\n\n### Impact\n [`tf.raw_ops.DynamicStitch`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc) specifies input sizes when it is [registered](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc). \n```cpp\nREGISTER_OP(\"DynamicStitch\")\n    .Input(\"indices: N * int32\")\n    .Input(\"data: N * T\")\n    .Output(\"merged: T\")\n    .Attr(\"N : int >= 1\")\n    .Attr(\"T : type\")\n    .SetShapeFn(DynamicStitchShapeFunction);\n```\nWhen it receives a differing number of inputs, such as when it is called with an `indices` size 1 and a `data` size 2, it will crash.\n```python\nimport tensorflow as tf\n\n# indices = 1*[tf.random.uniform([1,2], dtype=tf.dtypes.int32, maxval=100)]\nindices = [tf.constant([[0, 1]]),]\n\n# data = 2*[tf.random.uniform([1,2], dtype=tf.dtypes.float32, maxval=100)]\ndata = [tf.constant([[5, 6]]), tf.constant([[7, 8]])]\n\ntf.raw_ops.DynamicStitch(\n    indices=indices, \n    data=data)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [f5381e0e10b5a61344109c1b7c174c68110f7629](https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629).\n\nThe fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 as this is also affected.\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 Zizhuang Deng of IIE, UCAS\n\n\n## Affected packages\n\n- `tensorflow >= 2.10.0, < 2.10.1`\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 2.10.1`\n- `tensorflow-cpu 2.10.1`\n- `tensorflow-gpu 2.10.1`","depth":"sunlit","depthScore":37,"depthScoreParts":{"impact":37.4,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}