ghsa-frqp-wp83-qggv
Vulnerability from github
Impact
The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.
python
import tensorflow as tf
@tf.function
def test():
tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],
input_min=[1.0],
input_max=[10.0],
signed_input=True,
num_bits=1,
range_given=True,
round_mode='HALF_TO_EVEN',
narrow_range=True,
axis=0x7fffffff)
test()
Patches
We have patched the issue in GitHub commit 7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb.
The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
{ "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-2022-41910" ], "database_specific": { "cwe_ids": [ "CWE-125" ], "github_reviewed": true, "github_reviewed_at": "2022-11-21T22:17:52Z", "nvd_published_at": "2022-12-06T22:15:00Z", "severity": "MODERATE" }, "details": "### Impact\nThe function [MakeGrapplerFunctionItem](https://https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221) takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.\n```python\nimport tensorflow as tf\n@tf.function\ndef test():\n tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],\n \t\t\t\t\t\t\t\t input_min=[1.0],\n \t\t\t\t\t\t\t\t input_max=[10.0],\n \t\t\t\t\t\t\t\t signed_input=True,\n \t\t\t\t\t\t\t\t num_bits=1,\n \t\t\t\t\t\t\t\t range_given=True,\n \t\t\t\t\t\t\t\t round_mode=\u0027HALF_TO_EVEN\u0027,\n \t\t\t\t\t\t\t\t narrow_range=True,\n \t\t\t\t\t\t\t\t axis=0x7fffffff)\ntest()\n```\n\n### Patches\nWe have patched the issue in GitHub commit [7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb](https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb).\n\nThe fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.\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", "id": "GHSA-frqp-wp83-qggv", "modified": "2022-11-21T22:17:52Z", "published": "2022-11-21T22:17:52Z", "references": [ { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41910" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7" }, { "type": "PACKAGE", "url": "https://github.com/tensorflow/tensorflow" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221" } ], "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": "Heap overflow in `QuantizeAndDequantizeV2`" }
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.