ghsa-rmg2-f698-wq35
Vulnerability from github
Impact
If ThreadUnsafeUnigramCandidateSampler
is given input filterbank_channel_count
greater than the allowed max size, TensorFlow will crash.
python
import tensorflow as tf
tf.raw_ops.Mfcc(
spectrogram = [[[1.38, 6.32, 5.75, 9.51]]],
sample_rate = 2,
upper_frequency_limit = 5.0,
lower_frequency_limit = 1.0,
filterbank_channel_count = 2**31 - 1,
dct_coefficient_count = 1
)
Patches
We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Vul AI.
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.8.4" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "2.9.0" }, { "fixed": "2.9.3" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "2.10.0" }, { "fixed": "2.10.1" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.8.4" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.8.4" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "2.9.0" }, { "fixed": "2.9.3" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "2.9.0" }, { "fixed": "2.9.3" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "2.10.0" }, { "fixed": "2.10.1" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "2.10.0" }, { "fixed": "2.10.1" } ], "type": "ECOSYSTEM" } ] } ], "aliases": [ "CVE-2022-41896" ], "database_specific": { "cwe_ids": [ "CWE-1284", "CWE-20" ], "github_reviewed": true, "github_reviewed_at": "2022-11-21T21:53:52Z", "nvd_published_at": "2022-11-18T22:15:00Z", "severity": "MODERATE" }, "details": "### Impact\nIf [`ThreadUnsafeUnigramCandidateSampler`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/mirror_pad_op.cc) is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash.\n\n```python\nimport tensorflow as tf\ntf.raw_ops.Mfcc(\n spectrogram = [[[1.38, 6.32, 5.75, 9.51]]],\n sample_rate = 2,\n upper_frequency_limit = 5.0,\n lower_frequency_limit = 1.0,\n filterbank_channel_count = 2**31 - 1,\n dct_coefficient_count = 1\n)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [39ec7eaf1428e90c37787e5b3fbd68ebd3c48860](https://github.com/tensorflow/tensorflow/commit/39ec7eaf1428e90c37787e5b3fbd68ebd3c48860).\n\nThe fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Vul AI.\n", "id": "GHSA-rmg2-f698-wq35", "modified": "2022-11-21T21:53:52Z", "published": "2022-11-21T21:53:52Z", "references": [ { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rmg2-f698-wq35" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41896" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/39ec7eaf1428e90c37787e5b3fbd68ebd3c48860" }, { "type": "PACKAGE", "url": "https://github.com/tensorflow/tensorflow" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/mirror_pad_op.cc" } ], "schema_version": "1.4.0", "severity": [ { "score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H", "type": "CVSS_V3" } ], "summary": "`tf.raw_ops.Mfcc` crashes" }
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.