ghsa-v5xg-3q2c-c2r4
Vulnerability from github
Impact
In core/kernels/list_kernels.cc's TensorListReserve
, num_elements
is assumed to be a tensor of size 1. When a num_elements
of more than 1 element is provided, then tf.raw_ops.TensorListReserve
fails the CHECK_EQ
in CheckIsAlignedAndSingleElement
.
```python
import tensorflow as tf
tf.raw_ops.TensorListReserve(element_shape=(1,1), num_elements=tf.constant([1,1], dtype=tf.int32), element_dtype=tf.int8) ```
Patches
We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7.
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.
{ "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-2022-35960" ], "database_specific": { "cwe_ids": [ "CWE-617" ], "github_reviewed": true, "github_reviewed_at": "2022-09-16T22:11:18Z", "nvd_published_at": "2022-09-16T20:15:00Z", "severity": "MODERATE" }, "details": "### Impact\nIn [`core/kernels/list_kernels.cc\u0027s TensorListReserve`](https://github.com/tensorflow/tensorflow/blob/c8ba76d48567aed347508e0552a257641931024d/tensorflow/core/kernels/list_kernels.cc#L322-L325), `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`.\n```python\nimport tensorflow as tf\n\ntf.raw_ops.TensorListReserve(element_shape=(1,1), num_elements=tf.constant([1,1], dtype=tf.int32), element_dtype=tf.int8)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [b5f6fbfba76576202b72119897561e3bd4f179c7](https://github.com/tensorflow/tensorflow/commit/b5f6fbfba76576202b72119897561e3bd4f179c7).\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 Kang Hong Jin from Singapore Management University.\n", "id": "GHSA-v5xg-3q2c-c2r4", "modified": "2022-09-19T19:35:30Z", "published": "2022-09-16T22:11:18Z", "references": [ { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v5xg-3q2c-c2r4" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35960" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/b5f6fbfba76576202b72119897561e3bd4f179c7" }, { "type": "PACKAGE", "url": "https://github.com/tensorflow/tensorflow" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/blob/c8ba76d48567aed347508e0552a257641931024d/tensorflow/core/kernels/list_kernels.cc#L322-L325" }, { "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` failure in `TensorListReserve` via missing validation" }
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.