ghsa-mgmh-g2v6-mqw5
Vulnerability from github
Impact
The AvgPoolOp
function takes an argument ksize
that must be positive but is not checked. A negative ksize
can trigger a CHECK
failure and crash the program.
```python
import tensorflow as tf
import numpy as np
value = np.ones([1, 1, 1, 1]) ksize = [1, 1e20, 1, 1] strides = [1, 1, 1, 1] padding = 'SAME' data_format = 'NHWC'
tf.raw_ops.AvgPool(value=value, ksize=ksize, strides=strides, padding=padding, data_format=data_format) ```
Patches
We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f.
The 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.
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 Jingyi Shi.
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.7.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "2.8.0" }, { "fixed": "2.8.1" } ], "type": "ECOSYSTEM" } ] }, { "database_specific": { "last_known_affected_version_range": "\u003c 2.9.1" }, "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "2.9.0" }, { "fixed": "2.9.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.7.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "2.8.0" }, { "fixed": "2.8.1" } ], "type": "ECOSYSTEM" } ] }, { "database_specific": { "last_known_affected_version_range": "\u003c 2.9.1" }, "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "2.9.0" }, { "fixed": "2.9.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.7.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "2.8.0" }, { "fixed": "2.8.1" } ], "type": "ECOSYSTEM" } ] }, { "database_specific": { "last_known_affected_version_range": "\u003c 2.9.1" }, "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "2.9.0" }, { "fixed": "2.9.2" } ], "type": "ECOSYSTEM" } ] } ], "aliases": [ "CVE-2022-35941" ], "database_specific": { "cwe_ids": [ "CWE-617" ], "github_reviewed": true, "github_reviewed_at": "2022-09-16T21:18:42Z", "nvd_published_at": "2022-09-16T20:15:00Z", "severity": "MODERATE" }, "details": "### Impact\nThe [`AvgPoolOp`](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/avgpooling_op.cc#L56-L98) function takes an argument `ksize` that must be positive but is not checked. A negative `ksize` can trigger a `CHECK` failure and crash the program.\n```python\nimport tensorflow as tf\nimport numpy as np\n\nvalue = np.ones([1, 1, 1, 1])\nksize = [1, 1e20, 1, 1]\nstrides = [1, 1, 1, 1]\npadding = \u0027SAME\u0027\ndata_format = \u0027NHWC\u0027\n\ntf.raw_ops.AvgPool(value=value, ksize=ksize, strides=strides, padding=padding, data_format=data_format)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [3a6ac52664c6c095aa2b114e742b0aa17fdce78f](https://github.com/tensorflow/tensorflow/commit/3a6ac52664c6c095aa2b114e742b0aa17fdce78f).\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", "id": "GHSA-mgmh-g2v6-mqw5", "modified": "2022-09-19T19:55:57Z", "published": "2022-09-16T21:18:42Z", "references": [ { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mgmh-g2v6-mqw5" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35941" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/3a6ac52664c6c095aa2b114e742b0aa17fdce78f" }, { "type": "PACKAGE", "url": "https://github.com/tensorflow/tensorflow" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/avgpooling_op.cc#L56-L98" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0" } ], "schema_version": "1.4.0", "severity": [ { "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H", "type": "CVSS_V3" } ], "summary": "TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`" }
Sightings
Author | Source | Type | Date |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.