GHSA-68V3-G9CM-RMM6
Vulnerability from github – Published: 2023-03-24 21:53 – Updated: 2023-03-27 21:26
VLAI?
Summary
TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad
Details
Impact
Out of bounds read in GRUBlockCellGrad
func = tf.raw_ops.GRUBlockCellGrad
para = {'x': [[21.1, 156.2], [83.3, 115.4]], 'h_prev': array([[136.5],
[136.6]]), 'w_ru': array([[26.7, 0.8],
[47.9, 26.1],
[26.2, 26.3]]), 'w_c': array([[ 0.4],
[31.5],
[ 0.6]]), 'b_ru': array([0.1, 0.2 ], dtype=float32), 'b_c': 0x41414141, 'r': array([[0.3],
[0.4]], dtype=float32), 'u': array([[5.7],
[5.8]]), 'c': array([[52.9],
[53.1]]), 'd_h': array([[172.2],
[188.3 ]])}
Patches
We have patched the issue in GitHub commit ff459137c2716a2a60f7d441b855fcb466d778cb.
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 r3pwnx.
Severity ?
7.5 (High)
{
"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-2023-25658"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": true,
"github_reviewed_at": "2023-03-24T21:53:25Z",
"nvd_published_at": "2023-03-25T00:15:00Z",
"severity": "HIGH"
},
"details": "### Impact\nOut of bounds read in GRUBlockCellGrad\n```python\nfunc = tf.raw_ops.GRUBlockCellGrad\n\npara = {\u0027x\u0027: [[21.1, 156.2], [83.3, 115.4]], \u0027h_prev\u0027: array([[136.5],\n [136.6]]), \u0027w_ru\u0027: array([[26.7, 0.8],\n [47.9, 26.1],\n [26.2, 26.3]]), \u0027w_c\u0027: array([[ 0.4],\n [31.5],\n [ 0.6]]), \u0027b_ru\u0027: array([0.1, 0.2 ], dtype=float32), \u0027b_c\u0027: 0x41414141, \u0027r\u0027: array([[0.3],\n [0.4]], dtype=float32), \u0027u\u0027: array([[5.7],\n [5.8]]), \u0027c\u0027: array([[52.9],\n [53.1]]), \u0027d_h\u0027: array([[172.2],\n [188.3 ]])}\n```\n\n### Patches\nWe have patched the issue in GitHub commit [ff459137c2716a2a60f7d441b855fcb466d778cb](https://github.com/tensorflow/tensorflow/commit/ff459137c2716a2a60f7d441b855fcb466d778cb).\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 r3pwnx.\n",
"id": "GHSA-68v3-g9cm-rmm6",
"modified": "2023-03-27T21:26:02Z",
"published": "2023-03-24T21:53:25Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-68v3-g9cm-rmm6"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25658"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/ff459137c2716a2a60f7d441b855fcb466d778cb"
},
{
"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 vulnerable to Out-of-Bounds Read in GRUBlockCellGrad"
}
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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