GHSA-4p4p-www8-8fv9
Vulnerability from github
Published
2021-05-21 14:25
Modified
2024-11-01 17:05
Severity ?
2.5 (Low) - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
2.0 (Low) - 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
Summary
Reference binding to null in `ParameterizedTruncatedNormal`
Details

Impact

An attacker can trigger undefined behavior by binding to null pointer in tf.raw_ops.ParameterizedTruncatedNormal:

```python import tensorflow as tf

shape = tf.constant([], shape=[0], dtype=tf.int32) means = tf.constant((1), dtype=tf.float32) stdevs = tf.constant((1), dtype=tf.float32) minvals = tf.constant((1), dtype=tf.float32) maxvals = tf.constant((1), dtype=tf.float32)

tf.raw_ops.ParameterizedTruncatedNormal( shape=shape, means=means, stdevs=stdevs, minvals=minvals, maxvals=maxvals) ```

This is because the implementation does not validate input arguments before accessing the first element of shape:

cc int32 num_batches = shape_tensor.flat<int32>()(0);

If shape argument is empty, then shape_tensor.flat<T>() is an empty array.

Patches

We have patched the issue in GitHub commit 5e52ef5a461570cfb68f3bdbbebfe972cb4e0fd8.

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 by Ying Wang and Yakun Zhang of Baidu X-Team.

Show details on source website

To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
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      },
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    },
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      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
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        "name": "tensorflow-gpu"
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  ],
  "aliases": [
    "CVE-2021-29568"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476",
      "CWE-824"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T19:11:12Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nAn attacker can trigger undefined behavior by binding to null pointer in `tf.raw_ops.ParameterizedTruncatedNormal`:\n\n```python\nimport tensorflow as tf\n    \nshape = tf.constant([], shape=[0], dtype=tf.int32)\nmeans = tf.constant((1), dtype=tf.float32)\nstdevs = tf.constant((1), dtype=tf.float32)\nminvals = tf.constant((1), dtype=tf.float32)\nmaxvals = tf.constant((1), dtype=tf.float32)\n  \ntf.raw_ops.ParameterizedTruncatedNormal(\n  shape=shape, means=means, stdevs=stdevs, minvals=minvals, maxvals=maxvals)\n```\n\nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/3f6fe4dfef6f57e768260b48166c27d148f3015f/tensorflow/core/kernels/parameterized_truncated_normal_op.cc#L630) does not validate input arguments before accessing the first element of `shape`:\n\n```cc\nint32 num_batches = shape_tensor.flat\u003cint32\u003e()(0);\n``` \n\nIf `shape` argument is empty, then `shape_tensor.flat\u003cT\u003e()` is an empty array.\n\n### Patches\nWe have patched the issue in GitHub commit [5e52ef5a461570cfb68f3bdbbebfe972cb4e0fd8](https://github.com/tensorflow/tensorflow/commit/5e52ef5a461570cfb68f3bdbbebfe972cb4e0fd8).\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 by Ying Wang and Yakun Zhang of Baidu X-Team.",
  "id": "GHSA-4p4p-www8-8fv9",
  "modified": "2024-11-01T17:05:06Z",
  "published": "2021-05-21T14:25:19Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4p4p-www8-8fv9"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29568"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/5e52ef5a461570cfb68f3bdbbebfe972cb4e0fd8"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-496.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-694.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-205.yaml"
    },
    {
      "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": "Reference binding to null in `ParameterizedTruncatedNormal`"
}


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