ghsa-68v3-g9cm-rmm6
Vulnerability from github
Impact
Out of bounds read in GRUBlockCellGrad ```python 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.
{
"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"
}
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.