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Medium

Security advisory

Type: advisorySources: OSVCVE: CVE-2021-29580

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.FractionalMaxPoolGrad` triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a `CHECK` condition becomes false and aborts the process. The implementation(https://github.com/tensorflow/tensorflow/blob/169054888d50ce488dfde9ca55d91d6325efbd5b/tensorflow/core/kernels/fractional_max_pool_op.cc#L215) fails to validate that input and output tensors are not empty and are of the same rank. Each of these unchecked assumptions is responsible for the above issues. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Products
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Affected versions
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Fixed versions
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CVEs
CVE-2021-29580
Confirmed fixed CVEs
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Updated in this feed
31 Oct 2026, 12:45 UTC · Revision 1

Source evidence

CVE-2021-29580

core-osv · Original source

Published 14 May 2021, 20:15 UTC

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.FractionalMaxPoolGrad` triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a `CHECK` condition becomes false and aborts the process. The implementation(https://github.com/tensorflow/tensorflow/blob/169054888d50ce488dfde9ca55d91d6325efbd5b/tensorflow/core/kernels/fractional_max_pool_op.cc#L215) fails to validate that input and output tensors are not empty and are of the same rank. Each of these unchecked assumptions is responsible for the above issues. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

osv:CVE-2021-29580
Complete source record
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  "url": "https://osv.dev/vulnerability/CVE-2021-29580",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "CVE-2021-29580",
    "summary": "TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.FractionalMaxPoolGrad` triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a `CHECK` condition becomes false and aborts the process. The implementation(https://github.com/tensorflow/tensorflow/blob/169054888d50ce488dfde9ca55d91d6325efbd5b/tensorflow/core/kernels/fractional_max_pool_op.cc#L215) fails to validate that input and output tensors are not empty and are of the same rank. Each of these unchecked assumptions is responsible for the above issues. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.",
    "evidence": "osv:CVE-2021-29580",
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    "severity": "medium",
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      "aliases": [
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        "CVE-2021-29580",
        "GHSA-x8h6-xgqx-jqgp",
        "PYSEC-2021-217",
        "PYSEC-2021-508",
        "PYSEC-2021-706"
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                    "source": "REFERENCES_COMMIT"
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          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2021-29580.json",
            "vanir_signatures": [
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            "vanir_signatures_modified": "2026-10-20T14:24:40Z"
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      ],
      "modified": "2026-10-20T14:24:40.332804756Z",
      "provider": "osv",
      "references": [
        "https://github.com/tensorflow/tensorflow/commit/32fdcbff9d06d010d908fcc4bd4b36eb3ce15925",
        "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x8h6-xgqx-jqgp"
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      "provider_metadata": {}
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    "related_cves": [
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        "value": "CVE-2021-29580",
        "evidence": "/id"
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    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
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  "source_id": "core-osv",
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  "published_at": "2021-05-14T20:15:14.293+00:00"
}