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Security advisory

Type: advisorySources: OSVCVE: CVE-2021-41195

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using `AddDim`. However, if the number of elements in the tensor overflows an `int64_t` value, `AddDim` results in a `CHECK` failure which provokes a `std::abort`. Instead, code should use `AddDimWithStatus`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Products
Not specified
Affected versions
Not specified
Fixed versions
Not specified
CVEs
CVE-2021-41195
Confirmed fixed CVEs
Not specified
Updated in this feed
31 Oct 2026, 11:56 UTC · Revision 1

Source evidence

CVE-2021-41195

core-osv · Original source

Published 5 Nov 2021, 20:15 UTC

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using `AddDim`. However, if the number of elements in the tensor overflows an `int64_t` value, `AddDim` results in a `CHECK` failure which provokes a `std::abort`. Instead, code should use `AddDimWithStatus`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

osv:CVE-2021-41195
Complete source record
{
  "id": "d113aaabd85370713def56df56f3c0f6f3054bce8bf6209cf11e63bd2cdccb8e",
  "url": "https://osv.dev/vulnerability/CVE-2021-41195",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "CVE-2021-41195",
    "summary": "TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using `AddDim`. However, if the number of elements in the tensor overflows an `int64_t` value, `AddDim` results in a `CHECK` failure which provokes a `std::abort`. Instead, code should use `AddDimWithStatus`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
    "evidence": "osv:CVE-2021-41195",
    "products": [],
    "severity": "medium",
    "structured": {
      "id": "CVE-2021-41195",
      "aliases": [
        "BIT-tensorflow-2021-41195",
        "CVE-2021-41195",
        "GHSA-cq76-mxrc-vchh",
        "PYSEC-2021-842",
        "PYSEC-2021-844",
        "PYSEC-2021-846"
      ],
      "metrics": [
        {
          "type": "CVSS_V3",
          "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/tensorflow/tensorflow",
              "type": "GIT",
              "events": [
                {
                  "introduced": "0"
                },
                {
                  "fixed": "64918868e2154b06c7479347a59a4230f785e9fa"
                },
                {
                  "introduced": "a4dfb8d1a71385bd6d122e4f27f86dcebb96712d"
                },
                {
                  "fixed": "957590ea15cc03ee2e00fc61934647d54836676f"
                },
                {
                  "introduced": "919f693420e35d00c8d0a42100837ae3718f7927"
                },
                {
                  "fixed": "3aa40c3ce9d16eae296f086bc4ac4d62deb2affc"
                },
                {
                  "fixed": "e9c81c1e1a9cd8dd31f4e83676cab61b60658429"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "cpe": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
                    "range": [
                      {
                        "introduced": "0"
                      },
                      {
                        "fixed": "2.4.4"
                      }
                    ],
                    "source": "CPE_RANGE"
                  },
                  {
                    "cpe": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
                    "range": [
                      {
                        "introduced": "2.5.0"
                      },
                      {
                        "fixed": "2.5.2"
                      }
                    ],
                    "source": "CPE_RANGE"
                  },
                  {
                    "cpe": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
                    "range": [
                      {
                        "introduced": "2.6.0"
                      },
                      {
                        "fixed": "2.6.1"
                      }
                    ],
                    "source": "CPE_RANGE"
                  },
                  {
                    "range": [
                      {
                        "fixed": "e9c81c1e1a9cd8dd31f4e83676cab61b60658429"
                      }
                    ],
                    "source": "REFERENCES_COMMIT"
                  }
                ]
              }
            }
          ],
          "versions": [
            "v2.4.3",
            "v2.6.0",
            "v2.5.1",
            "v2.4.2",
            "v2.5.0",
            "v2.4.1",
            "v2.4.0",
            "v2.4.0-rc4",
            "v2.4.0-rc3",
            "v2.4.0-rc2",
            "v2.4.0-rc1",
            "v2.4.0-rc0",
            "v1.12.1",
            "v1.9.0-rc2",
            "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-2021-41195.json"
          }
        }
      ],
      "modified": "2026-10-20T10:54:57.773628707Z",
      "provider": "osv",
      "references": [
        "https://github.com/tensorflow/tensorflow/commit/e9c81c1e1a9cd8dd31f4e83676cab61b60658429",
        "https://github.com/tensorflow/tensorflow/issues/46888",
        "https://github.com/tensorflow/tensorflow/pull/51733",
        "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cq76-mxrc-vchh"
      ],
      "provider_metadata": {}
    },
    "related_cves": [
      {
        "value": "CVE-2021-41195",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 386561,
  "published_at": "2021-11-05T20:15:07.707+00:00"
}