{
  "GSD": {
    "alias": "CVE-2021-37670",
    "description": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/searchsorted_op.cc#L85-L104) does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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.",
    "id": "GSD-2021-37670",
    "references": [
      "https://www.suse.com/security/cve/CVE-2021-37670.html",
      "https://security.archlinux.org/CVE-2021-37670"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2021-37670"
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      "details": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/searchsorted_op.cc#L85-L104) does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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.",
      "id": "GSD-2021-37670",
      "modified": "2023-12-13T01:23:09.827285Z",
      "schema_version": "1.4.0"
    }
  },
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        "ID": "CVE-2021-37670",
        "STATE": "PUBLIC",
        "TITLE": "Heap OOB in `UpperBound` and `LowerBound` in TensorFlow"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
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              "product": {
                "product_data": [
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            "value": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/searchsorted_op.cc#L85-L104) does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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."
          }
        ]
      },
      "impact": {
        "cvss": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "NONE",
          "baseScore": 5.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
          "version": "3.1"
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                "lang": "eng",
                "value": "CWE-125: Out-of-bounds Read"
              }
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        ]
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            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/42459e4273c2e47a3232cc16c4f4fff3b3a35c38"
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        ]
      },
      "source": {
        "advisory": "GHSA-9697-98pf-4rw7",
        "discovery": "UNKNOWN"
      }
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          "affected_range": "\u003c2.3.4||\u003e=2.4.0,\u003c2.4.3||==2.5.0",
          "affected_versions": "All versions before 2.3.4, all versions starting from 2.4.0 before 2.4.3, version 2.5.0",
          "cvss_v2": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
          "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
          "cwe_ids": [
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            "CWE-125",
            "CWE-937"
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          "date": "2021-08-25",
          "description": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The implementation does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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.",
          "fixed_versions": [
            "2.3.4",
            "2.4.3",
            "2.5.1"
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          "identifier": "CVE-2021-37670",
          "identifiers": [
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            "CVE-2021-37670"
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          "not_impacted": "All versions starting from 2.3.4 before 2.4.0, all versions starting from 2.4.3 before 2.5.0, all versions after 2.5.0",
          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2021-08-25",
          "solution": "Upgrade to versions 2.3.4, 2.4.3, 2.5.1 or above.",
          "title": "Out-of-bounds Read",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9697-98pf-4rw7",
            "https://nvd.nist.gov/vuln/detail/CVE-2021-37670",
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            "CWE-937"
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          "description": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The implementation does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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.",
          "fixed_versions": [
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            "2.4.3",
            "2.5.1"
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          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2021-08-25",
          "solution": "Upgrade to versions 2.3.4, 2.4.3, 2.5.1 or above.",
          "title": "Out-of-bounds Read",
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          "affected_versions": "All versions starting from 2.3.0 before 2.3.4, all versions starting from 2.4.0 before 2.4.3, all versions starting from 2.5.0 up to 2.6.0",
          "cvss_v2": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
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          "date": "2021-08-19",
          "description": "TensorFlow is an end-to-end open source platform for machine learning. The implementation does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`.",
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            "2.4.3"
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          "package_slug": "pypi/tensorflow",
          "pubdate": "2021-08-12",
          "solution": "Upgrade to versions 2.3.4, 2.4.3 or above.",
          "title": "Out-of-bounds Read",
          "urls": [
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          "uuid": "235a8522-4f4c-4b56-bd04-6fe20ef4f0e6"
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            "accessVector": "LOCAL",
            "authentication": "NONE",
            "availabilityImpact": "NONE",
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            "integrityImpact": "NONE",
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          "exploitabilityScore": 1.8,
          "impactScore": 3.6
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      },
      "lastModifiedDate": "2021-08-19T14:28Z",
      "publishedDate": "2021-08-12T23:15Z"
    }
  }
}