CVE-2021-37639 (GCVE-0-2021-37639)

Vulnerability from cvelistv5 – Published: 2021-08-12 18:10 – Updated: 2024-08-04 01:23
VLAI
Title
Null pointer dereference and heap OOB read in TensorFlow
Summary
TensorFlow is an end-to-end open source platform for machine learning. When restoring tensors via raw APIs, if the tensor name is not provided, TensorFlow can be tricked into dereferencing a null pointer. Alternatively, attackers can read memory outside the bounds of heap allocated data by providing some tensor names but not enough for a successful restoration. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/kernels/save_restore_tensor.cc#L158-L159) retrieves the tensor list corresponding to the `tensor_name` user controlled input and immediately retrieves the tensor at the restoration index (controlled via `preferred_shard` argument). This occurs without validating that the provided list has enough values. If the list is empty this results in dereferencing a null pointer (undefined behavior). If, however, the list has some elements, if the restoration index is outside the bounds this results in heap OOB read. We have patched the issue in GitHub commit 9e82dce6e6bd1f36a57e08fa85af213e2b2f2622. 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.
Severity
8.4 (High)
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE
  • CWE-476 - NULL Pointer Dereference
Assigner
References
Impacted products
Vendor Product Version
tensorflow tensorflow Affected: >= 2.5.0, < 2.5.1
Affected: >= 2.4.0, < 2.4.3
Affected: < 2.3.4
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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 c\u00f3digo abierto de extremo a extremo para el aprendizaje autom\u00e1tico. Cuando se restauran tensores por medio de raw APIs, si no se proporciona el nombre del tensor, TensorFlow puede ser enga\u00f1ado para que haga desreferencia a un puntero null. Alternativamente, los atacantes pueden leer memoria fuera de l\u00edmites de los datos asignados a la pila al proporcionar algunos nombres de tensor pero no los suficientes para una restauraci\u00f3n con \u00e9xito. La [implementaci\u00f3n](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/kernels/save_restore_tensor.cc#L158-L159) recupera la lista de tensores correspondiente a la entrada controlada por el usuario \\\"tensor_name\\\" y recupera inmediatamente el tensor en el \u00edndice de restauraci\u00f3n (controlado por medio del argumento \\\"preferred_shard\\\"). Esto ocurre sin comprender que la lista proporcionada presenta suficientes valores. Si la lista est\u00e1 vac\u00eda esto resulta en una desreferenciaci\u00f3n de puntero null (comportamiento indefinido). Sin embargo, si la lista presenta algunos elementos, si el \u00edndice de restauraci\u00f3n est\u00e1 fuera de l\u00edmites esto resulta en una lectura OOB de la pila. Hemos parcheado el problema en el commit de GitHub 9e82dce6e6bd1f36a57e08fa85af213e2b2f2622. La correcci\u00f3n se incluir\u00e1 en TensorFlow versi\u00f3n 2.6.0. Tambi\u00e9n se incluir\u00e1 este commit en TensorFlow versi\u00f3n 2.5.1, TensorFlow versi\u00f3n 2.4.3, y TensorFlow versi\u00f3n 2.3.4, ya que estos tambi\u00e9n est\u00e1n afectados y todav\u00eda en el rango de soporte.\"}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H\",\"baseScore\":8.4,\"baseSeverity\":\"HIGH\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":2.5,\"impactScore\":5.9},{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H\",\"baseScore\":7.8,\"baseSeverity\":\"HIGH\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":1.8,\"impactScore\":5.9}],\"cvssMetricV2\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"2.0\",\"vectorString\":\"AV:L/AC:L/Au:N/C:P/I:P/A:P\",\"baseScore\":4.6,\"accessVector\":\"LOCAL\",\"accessComplexity\":\"LOW\",\"authentication\":\"NONE\",\"confidentialityImpact\":\"PARTIAL\",\"integrityImpact\":\"PARTIAL\",\"availabilityImpact\":\"PARTIAL\"},\"baseSeverity\":\"MEDIUM\",\"exploitabilityScore\":3.9,\"impactScore\":6.4,\"acInsufInfo\":false,\"obtainAllPrivilege\":false,\"obtainUserPrivilege\":false,\"obtainOtherPrivilege\":false,\"userInteractionRequired\":false}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-476\"}]},{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-125\"},{\"lang\":\"en\",\"value\":\"CWE-476\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"2.3.0\",\"versionEndExcluding\":\"2.3.4\",\"matchCriteriaId\":\"0F83C081-51CC-415F-A8C0-0A44C75E2CD6\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"2.4.0\",\"versionEndExcluding\":\"2.4.3\",\"matchCriteriaId\":\"BD3F2BF8-EBA9-42BF-8F9B-D918B880B15A\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:*\",\"matchCriteriaId\":\"D03E99A7-4E3D-427D-A156-C0713E9FB02A\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:*\",\"matchCriteriaId\":\"70FA6E48-6C57-40CA-809F-4E3D07CBF348\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:*\",\"matchCriteriaId\":\"42187561-E491-434D-828C-F36701446634\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:*\",\"matchCriteriaId\":\"C66B61C8-450A-4C5E-9174-F970D6DEE778\"}]}]}],\"references\":[{\"url\":\"https://github.com/tensorflow/tensorflow/commit/9e82dce6e6bd1f36a57e08fa85af213e2b2f2622\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gh6x-4whr-2qv4\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/commit/9e82dce6e6bd1f36a57e08fa85af213e2b2f2622\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gh6x-4whr-2qv4\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Third Party Advisory\"]}]}}",
    "redhat_vex": {
      "current_release_date": "2026-03-27T13:45:07+00:00",
      "cve": "CVE-2021-37639",
      "id": "CVE-2021-37639",
      "initial_release_date": "2021-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "Null pointer dereference and heap OOB read in TensorFlow",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-37639.json",
      "version": "3"
    }
  }
}