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Security advisory

Type: advisorySources: OSVCVE: CVE-2021-29575

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.ReverseSequence` allows for stack overflow and/or `CHECK`-fail based denial of service. The implementation(https://github.com/tensorflow/tensorflow/blob/5b3b071975e01f0d250c928b2a8f901cd53b90a7/tensorflow/core/kernels/reverse_sequence_op.cc#L114-L118) fails to validate that `seq_dim` and `batch_dim` arguments are valid. Negative values for `seq_dim` can result in stack overflow or `CHECK`-failure, depending on the version of Eigen code used to implement the operation. Similar behavior can be exhibited by invalid values of `batch_dim`. 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
Not specified
Affected versions
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Fixed versions
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CVEs
CVE-2021-29575
Confirmed fixed CVEs
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Updated in this feed
31 Oct 2026, 12:44 UTC · Revision 1

Source evidence

CVE-2021-29575

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.ReverseSequence` allows for stack overflow and/or `CHECK`-fail based denial of service. The implementation(https://github.com/tensorflow/tensorflow/blob/5b3b071975e01f0d250c928b2a8f901cd53b90a7/tensorflow/core/kernels/reverse_sequence_op.cc#L114-L118) fails to validate that `seq_dim` and `batch_dim` arguments are valid. Negative values for `seq_dim` can result in stack overflow or `CHECK`-failure, depending on the version of Eigen code used to implement the operation. Similar behavior can be exhibited by invalid values of `batch_dim`. 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-2021-29575
Complete source record
{
  "id": "99aa453a762f7ed79257f23cad8a31e73cb103b51242f0e0e466acd5f7b3e5a1",
  "url": "https://osv.dev/vulnerability/CVE-2021-29575",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "CVE-2021-29575",
    "summary": "TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.ReverseSequence` allows for stack overflow and/or `CHECK`-fail based denial of service. The implementation(https://github.com/tensorflow/tensorflow/blob/5b3b071975e01f0d250c928b2a8f901cd53b90a7/tensorflow/core/kernels/reverse_sequence_op.cc#L114-L118) fails to validate that `seq_dim` and `batch_dim` arguments are valid. Negative values for `seq_dim` can result in stack overflow or `CHECK`-failure, depending on the version of Eigen code used to implement the operation. Similar behavior can be exhibited by invalid values of `batch_dim`. 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-2021-29575",
    "products": [],
    "severity": "medium",
    "structured": {
      "id": "CVE-2021-29575",
      "aliases": [
        "BIT-tensorflow-2021-29575",
        "CVE-2021-29575",
        "GHSA-6qgm-fv6v-rfpv",
        "PYSEC-2021-212",
        "PYSEC-2021-503",
        "PYSEC-2021-701"
      ],
      "metrics": [
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          "type": "CVSS_V3",
          "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H"
        }
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      "affected": [
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                {
                  "introduced": "2b96f3662bd776e277f86997659e61046b56c315"
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                {
                  "fixed": "cfe0c80169ae984bcdc99ff6de7444164aaa8e07"
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                {
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                {
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                    "range": [
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                    "range": [
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                    "source": "CPE_RANGE"
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                  {
                    "range": [
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                    ],
                    "source": "REFERENCES_COMMIT"
                  }
                ]
              }
            }
          ],
          "versions": [
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            "v2.1.3",
            "v2.2.2",
            "v2.3.2",
            "v2.4.1",
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            "v1.6.0-rc1",
            "v1.1.0-rc2",
            "v1.1.0-rc1",
            "0.6.0",
            "0.5.0"
          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2021-29575.json",
            "vanir_signatures": [
              {
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                "digest": {
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                "source": "https://github.com/tensorflow/tensorflow/commit/ecf768cbe50cedc0a45ce1ee223146a3d3d26d23",
                "target": {
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                "deprecated": false,
                "signature_type": "Line",
                "signature_version": "v1"
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            ],
            "vanir_signatures_modified": "2026-10-20T14:24:34Z"
          }
        }
      ],
      "modified": "2026-10-20T14:24:34.465956641Z",
      "provider": "osv",
      "references": [
        "https://github.com/tensorflow/tensorflow/commit/ecf768cbe50cedc0a45ce1ee223146a3d3d26d23",
        "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6qgm-fv6v-rfpv"
      ],
      "provider_metadata": {}
    },
    "related_cves": [
      {
        "value": "CVE-2021-29575",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 388936,
  "published_at": "2021-05-14T20:15:14.06+00:00"
}