GHSA-6f89-8j54-29xf
Vulnerability from github
Published
2021-05-21 14:26
Modified
2024-11-01 17:12
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
Heap buffer overflow in `FractionalAvgPoolGrad`
Details

Impact

The implementation of tf.raw_ops.FractionalAvgPoolGrad is vulnerable to a heap buffer overflow:

```python import tensorflow as tf

orig_input_tensor_shape = tf.constant([1, 3, 2, 3], shape=[4], dtype=tf.int64) out_backprop = tf.constant([2], shape=[1, 1, 1, 1], dtype=tf.int64) row_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64) col_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64)

tf.raw_ops.FractionalAvgPoolGrad( orig_input_tensor_shape=orig_input_tensor_shape, out_backprop=out_backprop, row_pooling_sequence=row_pooling_sequence, col_pooling_sequence=col_pooling_sequence, overlapping=False) ```

The implementation fails to validate that the pooling sequence arguments have enough elements as required by the out_backprop tensor shape.

Patches

We have patched the issue in GitHub commit 12c727cee857fa19be717f336943d95fca4ffe4f.

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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        "name": "tensorflow"
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              "introduced": "2.3.0"
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      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
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      "ranges": [
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              "introduced": "2.4.0"
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      "package": {
        "ecosystem": "PyPI",
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        "name": "tensorflow-gpu"
      },
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            {
              "introduced": "2.2.0"
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              "fixed": "2.2.3"
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    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
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            {
              "introduced": "2.3.0"
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        "ecosystem": "PyPI",
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          ],
          "type": "ECOSYSTEM"
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  ],
  "aliases": [
    "CVE-2021-29578"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119",
      "CWE-787"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T18:08:57Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nThe implementation of `tf.raw_ops.FractionalAvgPoolGrad` is vulnerable to a heap buffer overflow:\n  \n```python\nimport tensorflow as tf\n\norig_input_tensor_shape = tf.constant([1, 3, 2, 3], shape=[4], dtype=tf.int64)\nout_backprop = tf.constant([2], shape=[1, 1, 1, 1], dtype=tf.int64)\nrow_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64)\ncol_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64)\n\n\ntf.raw_ops.FractionalAvgPoolGrad(\n  orig_input_tensor_shape=orig_input_tensor_shape, out_backprop=out_backprop,\n  row_pooling_sequence=row_pooling_sequence,\n  col_pooling_sequence=col_pooling_sequence, overlapping=False)\n```\n\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/dcba796a28364d6d7f003f6fe733d82726dda713/tensorflow/core/kernels/fractional_avg_pool_op.cc#L216) fails to validate that the pooling sequence arguments have enough elements as required by the `out_backprop` tensor shape.\n\n### Patches\nWe have patched the issue in GitHub commit [12c727cee857fa19be717f336943d95fca4ffe4f](https://github.com/tensorflow/tensorflow/commit/12c727cee857fa19be717f336943d95fca4ffe4f).\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-6f89-8j54-29xf",
  "modified": "2024-11-01T17:12:18Z",
  "published": "2021-05-21T14:26:21Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6f89-8j54-29xf"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29578"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/12c727cee857fa19be717f336943d95fca4ffe4f"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-506.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-704.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-215.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": "Heap buffer overflow in `FractionalAvgPoolGrad`"
}


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