{"id":"CVE-2022-41899","aliases":["AZL-11538","BIT-tensorflow-2022-41899","EUVD-2022-7195","GHSA-27rc-728f-x5w2","PYSEC-2026-3086","PYSEC-2026-3264","PYSEC-2026-941"],"status":"published","title":"`CHECK` fail via inputs in `SdcaOptimizer` in Tensorflow","description":"TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.","severity":{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-09","score":0.00494,"percentile":0.42675,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-20","CWE-617"],"published":"2022-11-18T00:00:00Z","modified":"2026-10-28T10:31:23Z","fixes":[{"ecosystem":"PyPI","package":"tensorflow","fixed_in":["2.8.4","2.9.3","2.10.1"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-cpu","fixed_in":["2.8.4","2.9.3","2.10.1"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-gpu","fixed_in":["2.8.4","2.9.3","2.10.1"],"sources":["ghsa","osv"]},{"ecosystem":"Azure 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Party Advisory","advisory","web"]},{"url":"https://github.com/tensorflow/tensorflow/commit/80ff197d03db2a70c6a111f97dcdacad1b0babfa","tags":["x_transferred","Patch","Third Party Advisory","advisory","fix","web"]},{"url":"https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sdca_internal.cc","tags":["x_transferred","Third Party Advisory","advisory","web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2022-41899","tags":["web","advisory"]},{"url":"https://github.com/advisories/GHSA-27rc-728f-x5w2","tags":["advisory"]},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/41xxx/CVE-2022-41899.json","tags":["advisory"]},{"url":"https://github.com/tensorflow/tensorflow","tags":["package"]},{"url":"https://pypi.org/project/tensorflow","tags":["package"]},{"url":"https://pypi.org/project/tensorflow-cpu","tags":["package"]},{"url":"https://pypi.org/project/tensorflow-gpu","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2022-41899","title":"`CHECK` fail via inputs in `SdcaOptimizer` in Tensorflow","description":"TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.","status":"published","published":"2022-11-18T00:00:00Z","modified":"2025-04-22T16:03:45.167Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium","assessor":"cna"}],"cwes":["CWE-20"],"updated_at":"2026-11-02T14:34:28.038197Z"}],"euvd":[{"id":"EUVD-2022-7195","description":"TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.","status":"published","published":"2022-11-18T00:00:00Z","modified":"2025-04-22T16:03:45Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"updated_at":"2026-11-02T20:52:16.784071Z"}],"ghsa":[{"id":"GHSA-27rc-728f-x5w2","title":"`CHECK` fail via inputs in `SdcaOptimizer`","description":"### Impact\nInputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in [`SdcaOptimizer`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sdca_internal.cc).\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.SdcaOptimizer(\n    sparse_example_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_feature_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_feature_values=8 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    dense_features=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    example_weights=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    example_labels=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    sparse_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    dense_weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    example_state_data=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    loss_type=\"squared_loss\",\n    l1=0.0,\n    l2=0.0,\n    num_loss_partitions=1,\n    num_inner_iterations=1,\n    adaptative=False,)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [80ff197d03db2a70c6a111f97dcdacad1b0babfa](https://github.com/tensorflow/tensorflow/commit/80ff197d03db2a70c6a111f97dcdacad1b0babfa).\n\nThe fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.\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","status":"published","published":"2022-11-21T21:54:26Z","modified":"2023-07-10T19:02:47Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"cwes":["CWE-20","CWE-617"],"updated_at":"2026-11-02T14:36:56.605555Z"}],"nvd":[{"id":"CVE-2022-41899","description":"TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.","status":"published","published":"2022-11-18T22:15:19.817Z","modified":"2026-06-17T05:04:01.42Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium","assessor":"secondary"},{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high","assessor":"primary"}],"cwes":["CWE-20","CWE-617"],"updated_at":"2026-11-02T14:07:32.395456Z"}],"osv":[{"id":"AZL-11538","title":"CVE-2022-41899 affecting package tensorflow for versions less than 2.11.0-1","description":"TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.","status":"published","published":"2022-11-18T22:15:19Z","modified":"2026-04-21T04:22:15.124316Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high"}],"updated_at":"2026-11-02T15:28:02.666535Z"},{"id":"CVE-2022-41899","title":"`CHECK` fail via inputs in `SdcaOptimizer` in Tensorflow","description":"TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.","status":"published","published":"2022-11-18T00:00:00Z","modified":"2026-10-28T10:31:23.971166094Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"cwes":["CWE-20"],"updated_at":"2026-11-02T15:44:27.186787Z"},{"id":"GHSA-27rc-728f-x5w2","title":"`CHECK` fail via inputs in `SdcaOptimizer`","description":"### Impact\nInputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in [`SdcaOptimizer`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sdca_internal.cc).\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.SdcaOptimizer(\n    sparse_example_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_feature_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_feature_values=8 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    dense_features=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    example_weights=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    example_labels=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    sparse_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    dense_weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    example_state_data=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    loss_type=\"squared_loss\",\n    l1=0.0,\n    l2=0.0,\n    num_loss_partitions=1,\n    num_inner_iterations=1,\n    adaptative=False,)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [80ff197d03db2a70c6a111f97dcdacad1b0babfa](https://github.com/tensorflow/tensorflow/commit/80ff197d03db2a70c6a111f97dcdacad1b0babfa).\n\nThe fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.\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","status":"published","published":"2022-11-21T21:54:26Z","modified":"2026-07-13T16:42:32.505206891Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"cwes":["CWE-20","CWE-617"],"updated_at":"2026-11-02T15:46:33.956911Z"},{"id":"PYSEC-2026-3086","title":"`CHECK` fail via inputs in `SdcaOptimizer`","description":"### Impact\nInputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in [`SdcaOptimizer`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sdca_internal.cc).\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.SdcaOptimizer(\n    sparse_example_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_feature_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_feature_values=8 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    dense_features=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    example_weights=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    example_labels=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    sparse_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    dense_weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    example_state_data=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    loss_type=\"squared_loss\",\n    l1=0.0,\n    l2=0.0,\n    num_loss_partitions=1,\n    num_inner_iterations=1,\n    adaptative=False,)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [80ff197d03db2a70c6a111f97dcdacad1b0babfa](https://github.com/tensorflow/tensorflow/commit/80ff197d03db2a70c6a111f97dcdacad1b0babfa).\n\nThe fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.\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","status":"published","published":"2026-07-13T14:19:54.461957Z","modified":"2026-07-13T16:42:32.505206891Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"updated_at":"2026-11-02T15:52:56.429374Z"},{"id":"PYSEC-2026-3264","title":"`CHECK` fail via inputs in `SdcaOptimizer`","description":"### Impact\nInputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in [`SdcaOptimizer`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sdca_internal.cc).\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.SdcaOptimizer(\n    sparse_example_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_feature_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_feature_values=8 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    dense_features=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    example_weights=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    example_labels=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    sparse_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    dense_weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    example_state_data=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    loss_type=\"squared_loss\",\n    l1=0.0,\n    l2=0.0,\n    num_loss_partitions=1,\n    num_inner_iterations=1,\n    adaptative=False,)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [80ff197d03db2a70c6a111f97dcdacad1b0babfa](https://github.com/tensorflow/tensorflow/commit/80ff197d03db2a70c6a111f97dcdacad1b0babfa).\n\nThe fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.\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","status":"published","published":"2026-07-13T14:19:54.563498Z","modified":"2026-07-13T16:42:32.505206891Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"updated_at":"2026-11-02T15:52:56.847083Z"},{"id":"PYSEC-2026-941","title":"`CHECK` fail via inputs in `SdcaOptimizer`","description":"### Impact\nInputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in [`SdcaOptimizer`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sdca_internal.cc).\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.SdcaOptimizer(\n    sparse_example_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_feature_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_feature_values=8 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    dense_features=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    example_weights=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    example_labels=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    sparse_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)],\n    sparse_weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    dense_weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)],\n    example_state_data=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100),\n    loss_type=\"squared_loss\",\n    l1=0.0,\n    l2=0.0,\n    num_loss_partitions=1,\n    num_inner_iterations=1,\n    adaptative=False,)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [80ff197d03db2a70c6a111f97dcdacad1b0babfa](https://github.com/tensorflow/tensorflow/commit/80ff197d03db2a70c6a111f97dcdacad1b0babfa).\n\nThe fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.\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","status":"published","published":"2026-07-07T10:17:24.51573Z","modified":"2026-07-13T16:42:32.505206891Z","cvss":[{"version":"3.1","score":4.8,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","level":"medium"}],"updated_at":"2026-11-02T15:52:58.117212Z"},{"id":"BIT-tensorflow-2022-41899","title":"`CHECK` fail via inputs in `SdcaOptimizer` in Tensorflow","description":"TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.","status":"published","published":"2024-03-06T11:10:36.609Z","modified":"2026-09-08T08:48:20.568418763Z","updated_at":"2026-11-02T15:28:36.104787Z"}]}}