ghsa-qxpx-j395-pw36
Vulnerability from github
Published
2022-09-16 22:14
Modified
2022-09-19 19:26
Severity ?
Summary
TensorFlow vulnerable to segfault in `LowerBound` and `UpperBound`
Details
Impact
If LowerBound or UpperBound is given an emptysorted_inputs input, it results in a nullptr dereference, leading to a segfault that can be used to trigger a denial of service attack.
```python
import tensorflow as tf
out_type = tf.int32
sorted_inputs = tf.constant([], shape=[10,0], dtype=tf.float32)
values = tf.constant([], shape=[10,10,0,10,0], dtype=tf.float32)
tf.raw_ops.LowerBound(sorted_inputs=sorted_inputs, values=values, out_type=out_type)
python
import tensorflow as tf
out_type = tf.int64 sorted_inputs = tf.constant([], shape=[2,2,0,0,0,0,0,2], dtype=tf.float32) values = tf.constant(0.372660398, shape=[2,4], dtype=tf.float32) tf.raw_ops.UpperBound(sorted_inputs=sorted_inputs, values=values, out_type=out_type) ```
Patches
We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 Neophytos Christou, Secure Systems Labs, Brown University.
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.7.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.8.0"
},
{
"fixed": "2.8.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.9.0"
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{
"fixed": "2.9.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
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{
"introduced": "0"
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{
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{
"package": {
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"name": "tensorflow-cpu"
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{
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{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
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{
"introduced": "2.9.0"
},
{
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],
"type": "ECOSYSTEM"
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},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.7.2"
}
],
"type": "ECOSYSTEM"
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},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.8.0"
},
{
"fixed": "2.8.1"
}
],
"type": "ECOSYSTEM"
}
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},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.9.0"
},
{
"fixed": "2.9.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-35965"
],
"database_specific": {
"cwe_ids": [
"CWE-476"
],
"github_reviewed": true,
"github_reviewed_at": "2022-09-16T22:14:39Z",
"nvd_published_at": "2022-09-16T21:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\nIf `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack.\n```python\nimport tensorflow as tf\n\nout_type = tf.int32\nsorted_inputs = tf.constant([], shape=[10,0], dtype=tf.float32)\nvalues = tf.constant([], shape=[10,10,0,10,0], dtype=tf.float32)\ntf.raw_ops.LowerBound(sorted_inputs=sorted_inputs, values=values, out_type=out_type)\n```\n```python\nimport tensorflow as tf\n\nout_type = tf.int64\nsorted_inputs = tf.constant([], shape=[2,2,0,0,0,0,0,2], dtype=tf.float32)\nvalues = tf.constant(0.372660398, shape=[2,4], dtype=tf.float32)\ntf.raw_ops.UpperBound(sorted_inputs=sorted_inputs, values=values, out_type=out_type)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [bce3717eaef4f769019fd18e990464ca4a2efeea](https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464ca4a2efeea).\n\nThe fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 Neophytos Christou, Secure Systems Labs, Brown University.",
"id": "GHSA-qxpx-j395-pw36",
"modified": "2022-09-19T19:26:56Z",
"published": "2022-09-16T22:14:39Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qxpx-j395-pw36"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35965"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464ca4a2efeea"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "TensorFlow vulnerable to segfault in `LowerBound` and `UpperBound`"
}
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Sightings
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Nomenclature
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