{ "schema_version": "1.4.0", "id": "GHSA-q5jv-m6qw-5g37", "modified": "2022-09-19T19:10:43Z", "published": "2022-09-16T22:11:10Z", "aliases": [ "CVE-2022-35996" ], "summary": "TensorFlow vulnerable to floating point exception in `Conv2D`", "details": "### Impact\nIf `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack.\n```python\nimport tensorflow as tf\nimport numpy as np\nwith tf.device(\"CPU\"): # also can be triggerred on GPU\n input = np.ones([1, 0, 2, 1])\n filter = np.ones([1, 1, 1, 1])\n strides = ([1, 1, 1, 1])\n padding = \"EXPLICIT\"\n explicit_paddings = [0 , 0, 1, 1, 1, 1, 0, 0]\n data_format = \"NHWC\"\n res = tf.raw_ops.Conv2D(\n input=input,\n filter=filter,\n strides=strides,\n padding=padding,\n explicit_paddings=explicit_paddings,\n data_format=data_format,\n )\n```\n\n### Patches\nWe have patched the issue in GitHub commit [611d80db29dd7b0cfb755772c69d60ae5bca05f9](https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9).\n\nThe fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.\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 Jingyi Shi.\n", "severity": [ { "type": "CVSS_V3", "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H" } ], "affected": [ { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "0" }, { "fixed": "2.7.2" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.8.0" }, { "fixed": "2.8.1" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.9.0" }, { "fixed": "2.9.1" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "0" }, { "fixed": "2.7.2" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.8.0" }, { "fixed": "2.8.1" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.9.0" }, { "fixed": "2.9.1" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "0" }, { "fixed": "2.7.2" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.8.0" }, { "fixed": "2.8.1" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.9.0" }, { "fixed": "2.9.1" } ] } ] } ], "references": [ { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35996" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9" }, { "type": "PACKAGE", "url": "https://github.com/tensorflow/tensorflow" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0" } ], "database_specific": { "cwe_ids": [ "CWE-369" ], "severity": "MODERATE", "github_reviewed": true, "github_reviewed_at": "2022-09-16T22:11:10Z", "nvd_published_at": "2022-09-16T23:15:00Z" } }