« Back to list

CVE-2021-37644

Status: ModifiedMedium (5.5)—

TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to `num_elements` list argument of `tf.raw_ops.TensorListReserve` causes the runtime to abort the process due to reallocating a `std::vector` to have a negative number of elements. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/list_kernels.cc#L312) calls `std::vector.resize()` with the new size controlled by input given by the user, without checking that this input is valid.

Read full descriptionShow less

We have patched the issue in GitHub commit 8a6e874437670045e6c7dc6154c7412b4a2135e2. 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.

CVSS

Exploitation probability (EPSS)

EPSS (Exploit Prediction Scoring System, FIRST) estimates how likely a vulnerability is to be exploited in the wild within 30 days. It complements CVSS (impact) and CISA KEV (confirmed exploitation).

Affected technologies (1)

Google — Tensorflow

CWEs

References

Raw JSON (NVD)

Show
{
  "id": "CVE-2021-37644",
  "cveTags": [],
  "metrics": {
    "cvssMetricV2": [
      {
        "type": "Primary",
        "source": "nvd@nist.gov",
        "cvssData": {
          "version": "2.0",
          "baseScore": 2.1,
          "accessVector": "LOCAL",
          "vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
          "authentication": "NONE",
          "integrityImpact": "NONE",
          "accessComplexity": "LOW",
          "availabilityImpact": "PARTIAL",
          "confidentialityImpact": "NONE"
        },
        "acInsufInfo": false,
        "impactScore": 2.9,
        "baseSeverity": "LOW",
        "obtainAllPrivilege": false,
        "exploitabilityScore": 3.9,
        "obtainUserPrivilege": false,
        "obtainOtherPrivilege": false,
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Secondary",
        "source": "security-advisories@github.com",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 5.5,
          "attackVector": "LOCAL",
          "baseSeverity": "MEDIUM",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
          "integrityImpact": "NONE",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "NONE"
        },
        "impactScore": 3.6,
        "exploitabilityScore": 1.8
      },
      {
        "type": "Primary",
        "source": "nvd@nist.gov",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 5.5,
          "attackVector": "LOCAL",
          "baseSeverity": "MEDIUM",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
          "integrityImpact": "NONE",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "NONE"
        },
        "impactScore": 3.6,
        "exploitabilityScore": 1.8
      }
    ]
  },
  "affected": [
    {
      "source": "security-advisories@github.com",
      "affectedData": [
        {
          "vendor": "tensorflow",
          "product": "tensorflow",
          "versions": [
            {
              "status": "affected",
              "version": ">= 2.5.0, < 2.5.1"
            },
            {
              "status": "affected",
              "version": ">= 2.4.0, < 2.4.3"
            },
            {
              "status": "affected",
              "version": "< 2.3.4"
            }
          ]
        }
      ]
    }
  ],
  "published": "2021-08-12T21:15:07.770",
  "references": [
    {
      "url": "https://github.com/tensorflow/tensorflow/commit/8a6e874437670045e6c7dc6154c7412b4a2135e2",
      "tags": [
        "Patch",
        "Third Party Advisory"
      ],
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27j5-4p9v-pp67",
      "tags": [
        "Third Party Advisory"
      ],
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/tensorflow/tensorflow/commit/8a6e874437670045e6c7dc6154c7412b4a2135e2",
      "tags": [
        "Patch",
        "Third Party Advisory"
      ],
      "source": "af854a3a-2127-422b-91ae-364da2661108"
    },
    {
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27j5-4p9v-pp67",
      "tags": [
        "Third Party Advisory"
      ],
      "source": "af854a3a-2127-422b-91ae-364da2661108"
    }
  ],
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "security-advisories@github.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-617"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to `num_elements` list argument of `tf.raw_ops.TensorListReserve` causes the runtime to abort the process due to reallocating a `std::vector` to have a negative number of elements. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/list_kernels.cc#L312) calls `std::vector.resize()` with the new size controlled by input given by the user, without checking that this input is valid. We have patched the issue in GitHub commit 8a6e874437670045e6c7dc6154c7412b4a2135e2. 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."
    },
    {
      "lang": "es",
      "value": "TensorFlow es una plataforma de código abierto de extremo a extremo para el aprendizaje automático. En las versiones afectadas, proporcionar un elemento negativo al argumento de lista \"num_elements\" de \"tf.raw_ops.TensorListReserve\" hace que el tiempo de ejecución aborte el proceso debido a la reasignación de un \"std::vector\" para tener un número negativo de elementos. La [implementación](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/list_kernels.cc#L312) llama a \"std::vector.resize()\" con el nuevo tamaño controlado por la entrada dada por el usuario, sin comprobar que esta entrada es válida. Hemos parcheado el problema en el commit 8a6e874437670045e6c7dc6154c7412b4a2135e2 de GitHub. La corrección será incluida en TensorFlow versión 2.6.0. También seleccionaremos este commit en TensorFlow 2.5.1, TensorFlow 2.4.3 y TensorFlow 2.3.4, ya que estos también están afectados y todavía están en el rango de soporte."
    }
  ],
  "lastModified": "2026-06-17T04:00:53.643",
  "configurations": [
    {
      "nodes": [
        {
          "negate": false,
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
              "vulnerable": true,
              "matchCriteriaId": "0F83C081-51CC-415F-A8C0-0A44C75E2CD6",
              "versionEndExcluding": "2.3.4",
              "versionStartIncluding": "2.3.0"
            },
            {
              "criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
              "vulnerable": true,
              "matchCriteriaId": "BD3F2BF8-EBA9-42BF-8F9B-D918B880B15A",
              "versionEndExcluding": "2.4.3",
              "versionStartIncluding": "2.4.0"
            },
            {
              "criteria": "cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:*",
              "vulnerable": true,
              "matchCriteriaId": "D03E99A7-4E3D-427D-A156-C0713E9FB02A"
            },
            {
              "criteria": "cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:*",
              "vulnerable": true,
              "matchCriteriaId": "70FA6E48-6C57-40CA-809F-4E3D07CBF348"
            },
            {
              "criteria": "cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:*",
              "vulnerable": true,
              "matchCriteriaId": "42187561-E491-434D-828C-F36701446634"
            },
            {
              "criteria": "cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:*",
              "vulnerable": true,
              "matchCriteriaId": "C66B61C8-450A-4C5E-9174-F970D6DEE778"
            }
          ],
          "operator": "OR"
        }
      ]
    }
  ],
  "sourceIdentifier": "security-advisories@github.com"
}