ghsa-w58w-79xv-6vcj
Vulnerability from github
Published
2022-11-21 20:39
Modified
2022-11-21 20:39
Severity ?
Summary
Out of bounds segmentation fault due to unequal op inputs in Tensorflow
Details
Impact
tf.raw_ops.DynamicStitch specifies input sizes when it is registered.
cpp
REGISTER_OP("DynamicStitch")
.Input("indices: N * int32")
.Input("data: N * T")
.Output("merged: T")
.Attr("N : int >= 1")
.Attr("T : type")
.SetShapeFn(DynamicStitchShapeFunction);
When it receives a differing number of inputs, such as when it is called with an indices size 1 and a data size 2, it will crash.
```python
import tensorflow as tf
indices = 1*[tf.random.uniform([1,2], dtype=tf.dtypes.int32, maxval=100)]
indices = [tf.constant([[0, 1]]),]
data = 2*[tf.random.uniform([1,2], dtype=tf.dtypes.float32, maxval=100)]
data = [tf.constant([[5, 6]]), tf.constant([[7, 8]])]
tf.raw_ops.DynamicStitch( indices=indices, data=data) ```
Patches
We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 as this is also affected.
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 Zizhuang Deng of IIE, UCAS
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.10.0"
},
{
"fixed": "2.10.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.10.0"
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.10.0"
},
{
"fixed": "2.10.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.10.0"
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.10.0"
},
{
"fixed": "2.10.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.10.0"
]
}
],
"aliases": [
"CVE-2022-41883"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": true,
"github_reviewed_at": "2022-11-21T20:39:20Z",
"nvd_published_at": "2022-11-18T21:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\n [`tf.raw_ops.DynamicStitch`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc) specifies input sizes when it is [registered](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc). \n```cpp\nREGISTER_OP(\"DynamicStitch\")\n .Input(\"indices: N * int32\")\n .Input(\"data: N * T\")\n .Output(\"merged: T\")\n .Attr(\"N : int \u003e= 1\")\n .Attr(\"T : type\")\n .SetShapeFn(DynamicStitchShapeFunction);\n```\nWhen it receives a differing number of inputs, such as when it is called with an `indices` size 1 and a `data` size 2, it will crash.\n```python\nimport tensorflow as tf\n\n# indices = 1*[tf.random.uniform([1,2], dtype=tf.dtypes.int32, maxval=100)]\nindices = [tf.constant([[0, 1]]),]\n\n# data = 2*[tf.random.uniform([1,2], dtype=tf.dtypes.float32, maxval=100)]\ndata = [tf.constant([[5, 6]]), tf.constant([[7, 8]])]\n\ntf.raw_ops.DynamicStitch(\n indices=indices, \n data=data)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [f5381e0e10b5a61344109c1b7c174c68110f7629](https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629).\n\nThe fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 as this is also affected.\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 Zizhuang Deng of IIE, UCAS\n",
"id": "GHSA-w58w-79xv-6vcj",
"modified": "2022-11-21T20:39:20Z",
"published": "2022-11-21T20:39:20Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w58w-79xv-6vcj"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41883"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H",
"type": "CVSS_V3"
}
],
"summary": "Out of bounds segmentation fault due to unequal op inputs in Tensorflow"
}
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