GHSA-MMQ6-Q8R3-48FM

Vulnerability from github – Published: 2021-05-21 14:28 – Updated: 2024-11-13 16:28
VLAI?
Summary
Crash in `tf.strings.substr` due to `CHECK`-fail
Details

Impact

An attacker can cause a denial of service via CHECK-fail in tf.strings.substr with invalid arguments:

import tensorflow as tf
tf.strings.substr(input='abc', len=1, pos=[1,-1])
import tensorflow as tf
tf.strings.substr(input='abc', len=1, pos=[1,2])

Patches

We have received a patch for the issue in GitHub commit 890f7164b70354c57d40eda52dcdd7658677c09f.

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported in #46900 and fixed in #46974.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
          ],
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        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
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          "events": [
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              "introduced": "2.3.0"
            },
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      },
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      "package": {
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        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
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            },
            {
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            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
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            },
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      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
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      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
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      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
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          "type": "ECOSYSTEM"
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    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
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      "ranges": [
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      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
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              "introduced": "2.2.0"
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          "type": "ECOSYSTEM"
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      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
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          "events": [
            {
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        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
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      "ranges": [
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            {
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            },
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          ],
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        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-29617"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-755"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-17T21:16:27Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nAn attacker can cause a denial of service via `CHECK`-fail in  `tf.strings.substr` with invalid arguments:\n\n```python \nimport tensorflow as tf\ntf.strings.substr(input=\u0027abc\u0027, len=1, pos=[1,-1])\n```\n\n```python\nimport tensorflow as tf\ntf.strings.substr(input=\u0027abc\u0027, len=1, pos=[1,2])\n```\n\n### Patches\nWe have received a patch for the issue in GitHub commit [890f7164b70354c57d40eda52dcdd7658677c09f](https://github.com/tensorflow/tensorflow/commit/890f7164b70354c57d40eda52dcdd7658677c09f).\n\nThe fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported in [#46900](https://github.com/tensorflow/issues/46900) and fixed in [#46974](https://github.com/tensorflow/issues/46974).",
  "id": "GHSA-mmq6-q8r3-48fm",
  "modified": "2024-11-13T16:28:37Z",
  "published": "2021-05-21T14:28:50Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mmq6-q8r3-48fm"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29617"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/890f7164b70354c57d40eda52dcdd7658677c09f"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-545.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-743.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-254.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/issues/46900"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/issues/46974"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Crash in `tf.strings.substr` due to `CHECK`-fail"
}


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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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