gsd-2022-41910
Vulnerability from gsd
Modified
2023-12-13 01:19
Details
TensorFlow is an open source platform for machine learning. 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. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-41910",
"id": "GSD-2022-41910",
"references": [
"https://www.suse.com/security/cve/CVE-2022-41910.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-41910"
],
"details": "TensorFlow is an open source platform for machine learning. 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. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.",
"id": "GSD-2022-41910",
"modified": "2023-12-13T01:19:32.692464Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-41910",
"STATE": "PUBLIC",
"TITLE": "Heap out of bounds read in `QuantizeAndDequantizeV2` in Tensorflow"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": "\u003e= 2.10.0, \u003c 2.10.1"
},
{
"version_value": "\u003e= 2.9.0, \u003c 2.9.3"
},
{
"version_value": "\u003c 2.8.4"
}
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"vendor_name": "tensorflow"
}
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"description": {
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"lang": "eng",
"value": "TensorFlow is an open source platform for machine learning. 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. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 4.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-125: Out-of-bounds Read"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221"
}
]
},
"source": {
"advisory": "GHSA-frqp-wp83-qggv",
"discovery": "UNKNOWN"
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c2.8.4||\u003e=2.9.0,\u003c2.9.3||\u003e=2.10.0,\u003c2.10.1",
"affected_versions": "All versions before 2.8.4, all versions starting from 2.9.0 before 2.9.3, all versions starting from 2.10.0 before 2.10.1",
"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2022-11-21",
"description": "### 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",
"fixed_versions": [
"2.8.4",
"2.9.3",
"2.10.1"
],
"identifier": "GMS-2022-7005",
"identifiers": [
"GHSA-frqp-wp83-qggv",
"GMS-2022-7005",
"CVE-2022-41910"
],
"not_impacted": "All versions starting from 2.8.4 before 2.9.0, all versions starting from 2.9.3 before 2.10.0, all versions starting from 2.10.1",
"package_slug": "pypi/tensorflow-cpu",
"pubdate": "2022-11-21",
"solution": "Upgrade to versions 2.8.4, 2.9.3, 2.10.1 or above.",
"title": "Heap overflow in `QuantizeAndDequantizeV2`",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv",
"https://github.com/advisories/GHSA-frqp-wp83-qggv"
],
"uuid": "73b42b20-a106-4e10-9e9c-2a0aa70b82e5"
},
{
"affected_range": "\u003c2.8.4||\u003e=2.9.0,\u003c2.9.3||\u003e=2.10.0,\u003c2.10.1",
"affected_versions": "All versions before 2.8.4, all versions starting from 2.9.0 before 2.9.3, all versions starting from 2.10.0 before 2.10.1",
"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2022-11-21",
"description": "### 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",
"fixed_versions": [
"2.8.4",
"2.9.3",
"2.10.1"
],
"identifier": "GMS-2022-7013",
"identifiers": [
"GHSA-frqp-wp83-qggv",
"GMS-2022-7013",
"CVE-2022-41910"
],
"not_impacted": "All versions starting from 2.8.4 before 2.9.0, all versions starting from 2.9.3 before 2.10.0, all versions starting from 2.10.1",
"package_slug": "pypi/tensorflow-gpu",
"pubdate": "2022-11-21",
"solution": "Upgrade to versions 2.8.4, 2.9.3, 2.10.1 or above.",
"title": "Heap overflow in `QuantizeAndDequantizeV2`",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv",
"https://github.com/advisories/GHSA-frqp-wp83-qggv"
],
"uuid": "f6d1eb6a-1ae1-42ba-96b5-1bb173b14234"
},
{
"affected_range": "\u003c2.8.4||\u003e=2.9.0,\u003c2.9.3||==2.10.0",
"affected_versions": "All versions before 2.8.4, all versions starting from 2.9.0 before 2.9.3, version 2.10.0",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-125",
"CWE-937"
],
"date": "2022-12-08",
"description": "TensorFlow is an open source platform for machine learning. 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. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.",
"fixed_versions": [
"2.8.4",
"2.9.3",
"2.10.1"
],
"identifier": "CVE-2022-41910",
"identifiers": [
"CVE-2022-41910",
"GHSA-frqp-wp83-qggv",
"GMS-2022-6997"
],
"not_impacted": "All versions starting from 2.8.4 before 2.9.0, all versions starting from 2.9.3 before 2.10.0, all versions after 2.10.0",
"package_slug": "pypi/tensorflow",
"pubdate": "2022-12-06",
"solution": "Upgrade to versions 2.8.4, 2.9.3, 2.10.1 or above.",
"title": "Out-of-bounds Read",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-41910",
"https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7",
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv",
"https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221",
"https://github.com/advisories/GHSA-frqp-wp83-qggv"
],
"uuid": "36409fb6-c5cd-45e7-86f8-8e13718905f8"
},
{
"affected_range": "\u003c0",
"affected_versions": "All versions before 2.8.4, all versions starting from 2.9.0 before 2.9.3, all versions starting from 2.10.0 before 2.10.1",
"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2022-11-21",
"description": "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.",
"fixed_versions": [
"2.8.4",
"2.9.3",
"2.10.1"
],
"identifier": "GMS-2022-6997",
"identifiers": [
"GHSA-frqp-wp83-qggv",
"GMS-2022-6997",
"CVE-2022-41910"
],
"not_impacted": "All versions starting from 2.8.4 before 2.9.0, all versions starting from 2.9.3 before 2.10.0, all versions starting from 2.10.1",
"package_slug": "pypi/tensorflow",
"pubdate": "2022-11-21",
"solution": "Upgrade to versions 2.8.4, 2.9.3, 2.10.1 or above.",
"title": "Duplicate of ./pypi/tensorflow/CVE-2022-41910.yml",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv",
"https://github.com/advisories/GHSA-frqp-wp83-qggv"
],
"uuid": "8c8a1873-9922-44fb-aef5-aca4c175c893"
}
]
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
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"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "2.9.3",
"versionStartIncluding": "2.9.0",
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"cve": {
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"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-41910"
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"data_version": "4.0",
"description": {
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{
"lang": "en",
"value": "TensorFlow is an open source platform for machine learning. 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. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7",
"refsource": "MISC",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7"
},
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv",
"refsource": "CONFIRM",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221",
"refsource": "MISC",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221"
}
]
}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.2
}
},
"lastModifiedDate": "2022-12-08T02:59Z",
"publishedDate": "2022-12-06T22:15Z"
}
}
}
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Sightings
| Author | Source | Type | Date |
|---|
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.