GHSA-QXPX-J395-PW36
Vulnerability from github – Published: 2022-09-16 22:14 – Updated: 2022-09-19 19:26
VLAI?
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.
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)
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.
Severity ?
5.9 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.7.2"
}
],
"type": "ECOSYSTEM"
}
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},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
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{
"fixed": "2.8.1"
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"name": "tensorflow"
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"package": {
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"name": "tensorflow-cpu"
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"name": "tensorflow-gpu"
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"fixed": "2.8.1"
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{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
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"ranges": [
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"events": [
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"introduced": "2.9.0"
},
{
"fixed": "2.9.1"
}
],
"type": "ECOSYSTEM"
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}
],
"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
| 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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