GHSA-49RQ-HWC3-X77W
Vulnerability from github – Published: 2023-03-24 21:55 – Updated: 2023-03-30 22:17
VLAI?
Summary
TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize
Details
Impact
NPE in QuantizedMatMulWithBiasAndDequantize with MKL enable
import tensorflow as tf
func = tf.raw_ops.QuantizedMatMulWithBiasAndDequantize
para={'a': tf.constant(138, dtype=tf.quint8), 'b': tf.constant(4, dtype=tf.qint8), 'bias': [[31.81644630432129, 47.21876525878906], [109.95201110839844, 152.07968139648438]], 'min_a': 141.5337138686371, 'max_a': [73.84139251708984, 173.15280151367188], 'min_b': [], 'max_b': [[16.128345489501953, 193.26820373535156]], 'min_freezed_output': [], 'max_freezed_output': [115.50032806396484, 156.974853515625], 'Toutput': 1.0, 'transpose_a': True, 'transpose_b': False, 'input_quant_mode': 'MIN_FIRST'}
func(**para)
Patches
We have patched the issue in GitHub commit 8a47a39d9697969206d23a523c977238717e8727.
The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by r3pwnx
Severity ?
7.5 (High)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.11.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.11.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.11.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2023-25670"
],
"database_specific": {
"cwe_ids": [
"CWE-476"
],
"github_reviewed": true,
"github_reviewed_at": "2023-03-24T21:55:32Z",
"nvd_published_at": "2023-03-25T00:15:00Z",
"severity": "HIGH"
},
"details": "### Impact\nNPE in QuantizedMatMulWithBiasAndDequantize with MKL enable \n```python\nimport tensorflow as tf\n\nfunc = tf.raw_ops.QuantizedMatMulWithBiasAndDequantize\npara={\u0027a\u0027: tf.constant(138, dtype=tf.quint8), \u0027b\u0027: tf.constant(4, dtype=tf.qint8), \u0027bias\u0027: [[31.81644630432129, 47.21876525878906], [109.95201110839844, 152.07968139648438]], \u0027min_a\u0027: 141.5337138686371, \u0027max_a\u0027: [73.84139251708984, 173.15280151367188], \u0027min_b\u0027: [], \u0027max_b\u0027: [[16.128345489501953, 193.26820373535156]], \u0027min_freezed_output\u0027: [], \u0027max_freezed_output\u0027: [115.50032806396484, 156.974853515625], \u0027Toutput\u0027: 1.0, \u0027transpose_a\u0027: True, \u0027transpose_b\u0027: False, \u0027input_quant_mode\u0027: \u0027MIN_FIRST\u0027}\n\nfunc(**para)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [8a47a39d9697969206d23a523c977238717e8727](https://github.com/tensorflow/tensorflow/commit/8a47a39d9697969206d23a523c977238717e8727).\n\nThe fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1\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\n\n### Attribution\nThis vulnerability has been reported by r3pwnx\n",
"id": "GHSA-49rq-hwc3-x77w",
"modified": "2023-03-30T22:17:27Z",
"published": "2023-03-24T21:55:32Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rq-hwc3-x77w"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25670"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/8a47a39d9697969206d23a523c977238717e8727"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize"
}
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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.
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