ghsa-g9h5-vr8m-x2h4
Vulnerability from github
Impact
When AudioSummaryV2
receives an input sample_rate
with more than one element, it gives a CHECK
fails that can be used to trigger a denial of service attack.
python
import tensorflow as tf
arg_0=''
arg_1=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None)
arg_2=tf.random.uniform(shape=(2,1), dtype=tf.float32, maxval=None)
arg_3=3
arg_4=''
tf.raw_ops.AudioSummaryV2(tag=arg_0, tensor=arg_1, sample_rate=arg_2,
max_outputs=arg_3, name=arg_4)
Patches
We have patched the issue in GitHub commit bf6b45244992e2ee543c258e519489659c99fb7f.
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 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.
{ "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" }, { "fixed": "2.9.1" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.7.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "2.8.0" }, { "fixed": "2.8.1" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "2.9.0" }, { "fixed": "2.9.1" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.7.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "2.8.0" }, { "fixed": "2.8.1" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "2.9.0" }, { "fixed": "2.9.1" } ], "type": "ECOSYSTEM" } ] } ], "aliases": [ "CVE-2022-35995" ], "database_specific": { "cwe_ids": [ "CWE-617" ], "github_reviewed": true, "github_reviewed_at": "2022-09-16T21:25:53Z", "nvd_published_at": "2022-09-16T23:15:00Z", "severity": "MODERATE" }, "details": "### Impact\nWhen `AudioSummaryV2` receives an input `sample_rate` with more than one element, it gives a `CHECK` fails that can be used to trigger a denial of service attack.\n```python\nimport tensorflow as tf\narg_0=\u0027\u0027\narg_1=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None)\narg_2=tf.random.uniform(shape=(2,1), dtype=tf.float32, maxval=None)\narg_3=3\narg_4=\u0027\u0027\ntf.raw_ops.AudioSummaryV2(tag=arg_0, tensor=arg_1, sample_rate=arg_2,\n max_outputs=arg_3, name=arg_4)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [bf6b45244992e2ee543c258e519489659c99fb7f](https://github.com/tensorflow/tensorflow/commit/bf6b45244992e2ee543c258e519489659c99fb7f).\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 \u5218\u529b\u6e90, Information System \u0026 Security and Countermeasures Experiments Center, Beijing Institute of Technology.\n", "id": "GHSA-g9h5-vr8m-x2h4", "modified": "2022-09-19T19:12:50Z", "published": "2022-09-16T21:25:53Z", "references": [ { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9h5-vr8m-x2h4" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35995" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/bf6b45244992e2ee543c258e519489659c99fb7f" }, { "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 `CHECK` fail in `AudioSummaryV2`" }
Sightings
Author | Source | Type | Date |
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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.