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Security advisory

Type: advisorySources: OSVCVE: CVE-2021-37677

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Products
Not specified
Affected versions
Not specified
Fixed versions
Not specified
CVEs
CVE-2021-37677
Confirmed fixed CVEs
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Updated in this feed
31 Oct 2026, 12:52 UTC · Revision 1

Source evidence

CVE-2021-37677

core-osv · Original source

Published 12 Aug 2021, 23:15 UTC

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

osv:CVE-2021-37677
Complete source record
{
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  "url": "https://osv.dev/vulnerability/CVE-2021-37677",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "CVE-2021-37677",
    "summary": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.",
    "evidence": "osv:CVE-2021-37677",
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        "PYSEC-2021-299",
        "PYSEC-2021-590",
        "PYSEC-2021-788"
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                    "range": [
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                      {
                        "last_affected": "2.6.0-rc1"
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                    "source": "CPE_STRING"
                  },
                  {
                    "cpe": "cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:*",
                    "range": [
                      {
                        "introduced": "2.6.0-rc2"
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                      {
                        "last_affected": "2.6.0-rc2"
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                    "source": "CPE_STRING"
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                  {
                    "range": [
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                    "source": "REFERENCES_COMMIT"
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          "versions": [
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            "2.6.0-rc1",
            "2.6.0-rc2",
            "v2.3.3",
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            "v2.4.0",
            "v2.3.1",
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          "database_specific": {
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                "source": "https://github.com/tensorflow/tensorflow/commit/da857cfa0fde8f79ad0afdbc94e88b5d4bbec764",
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            "vanir_signatures_modified": "2026-10-20T14:28:21Z"
          }
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      ],
      "modified": "2026-10-20T14:28:21.941629494Z",
      "provider": "osv",
      "references": [
        "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qfpc-5pjr-mh26",
        "https://github.com/tensorflow/tensorflow/commit/da857cfa0fde8f79ad0afdbc94e88b5d4bbec764"
      ],
      "provider_metadata": {}
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    "related_cves": [
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    "severity_evidence": "/severity/0/score"
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  "source_id": "core-osv",
  "document_id": 389046,
  "published_at": "2021-08-12T23:15:08.09+00:00"
}