ghsa-jq6x-99hj-q636
Vulnerability from github
Published
2022-11-21 20:39
Modified
2022-11-21 20:39
Severity ?
Summary
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
Details
Impact
If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error:
python
np.ones((0, 2**31, 2**31))
An example of a proof of concept:
```python
import numpy as np
import tensorflow as tf
input_val = tf.constant([1]) shape_val = np.array([i for i in range(21)])
tf.broadcast_to(input=input_val,shape=shape_val)
``
The return value ofPyArray_SimpleNewFromData`, which returns null on such shapes, is not checked.
Patches
We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Pattarakrit Rattanukul.
{
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"aliases": [
"CVE-2022-41884"
],
"database_specific": {
"cwe_ids": [
"CWE-670"
],
"github_reviewed": true,
"github_reviewed_at": "2022-11-21T20:39:49Z",
"nvd_published_at": "2022-11-18T22:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\nIf a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error:\n```python\nnp.ones((0, 2**31, 2**31))\n```\nAn example of a proof of concept:\n```python\nimport numpy as np\nimport tensorflow as tf\n\ninput_val = tf.constant([1])\nshape_val = np.array([i for i in range(21)])\n\ntf.broadcast_to(input=input_val,shape=shape_val)\n```\nThe return value of `PyArray_SimpleNewFromData`, which returns null on such shapes, is not checked.\n\n### Patches\nWe have patched the issue in GitHub commit [2b56169c16e375c521a3bc8ea658811cc0793784](https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784).\n\nThe fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Pattarakrit Rattanukul.\n",
"id": "GHSA-jq6x-99hj-q636",
"modified": "2022-11-21T20:39:49Z",
"published": "2022-11-21T20:39:49Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41884"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Seg fault in `ndarray_tensor_bridge` due to zero and large inputs"
}
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
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- Confirmed: The vulnerability is confirmed from an analyst perspective.
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- 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.