GHSA-97P7-W86H-VCF9
Vulnerability from github – Published: 2022-09-16 20:51 – Updated: 2022-09-19 19:50Impact
The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by assuming input(0), input(1), and input(2) to be scalar.
import tensorflow as tf
tf.raw_ops.SobolSample(dim=tf.constant([1,0]), num_results=tf.constant([1]), skip=tf.constant([1]))
Patches
We have patched the issue in GitHub commit c65c67f88ad770662e8f191269a907bf2b94b1bf.
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: - Kang Hong Jin from Singapore Management University - Neophytos Christou, Secure Systems Labs, Brown University - 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology
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"aliases": [
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"database_specific": {
"cwe_ids": [
"CWE-617"
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"github_reviewed": true,
"github_reviewed_at": "2022-09-16T20:51:55Z",
"nvd_published_at": "2022-09-16T20:15:00Z",
"severity": "MODERATE"
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"details": "### Impact\nThe implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by assuming `input(0)`, `input(1)`, and `input(2)` to be scalar.\n```python\nimport tensorflow as tf\ntf.raw_ops.SobolSample(dim=tf.constant([1,0]), num_results=tf.constant([1]), skip=tf.constant([1]))\n```\n\n### Patches\nWe have patched the issue in GitHub commit [c65c67f88ad770662e8f191269a907bf2b94b1bf](https://github.com/tensorflow/tensorflow/commit/c65c67f88ad770662e8f191269a907bf2b94b1bf).\n\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:\n- Kang Hong Jin from Singapore Management University\n- Neophytos Christou, Secure Systems Labs, Brown University\n- \u5218\u529b\u6e90, Information System \u0026 Security and Countermeasures Experiments Center, Beijing Institute of Technology\n",
"id": "GHSA-97p7-w86h-vcf9",
"modified": "2022-09-19T19:50:05Z",
"published": "2022-09-16T20:51:55Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-97p7-w86h-vcf9"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35935"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/c65c67f88ad770662e8f191269a907bf2b94b1bf"
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"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
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"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0"
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"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 `CHECK` failure in `SobolSample` via missing validation"
}
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.