gsd-2022-41884
Vulnerability from gsd
Modified
2023-12-13 01:19
Details
TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-41884",
"id": "GSD-2022-41884"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-41884"
],
"details": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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.",
"id": "GSD-2022-41884",
"modified": "2023-12-13T01:19:33.006328Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-41884",
"STATE": "PUBLIC",
"TITLE": "Seg fault in `ndarray_tensor_bridge` due to zero and large inputs 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"
}
]
}
}
]
},
"vendor_name": "tensorflow"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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."
}
]
},
"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-670: Always-Incorrect Control Flow Implementation"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784"
}
]
},
"source": {
"advisory": "GHSA-jq6x-99hj-q636",
"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-670",
"CWE-937"
],
"date": "2022-11-21",
"description": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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.",
"fixed_versions": [
"2.8.4",
"2.9.3",
"2.10.1"
],
"identifier": "CVE-2022-41884",
"identifiers": [
"GHSA-jq6x-99hj-q636",
"CVE-2022-41884"
],
"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": "Always-Incorrect Control Flow Implementation",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636",
"https://nvd.nist.gov/vuln/detail/CVE-2022-41884",
"https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784",
"https://github.com/advisories/GHSA-jq6x-99hj-q636"
],
"uuid": "ce437624-36cd-49ed-814a-df712d451888"
},
{
"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-670",
"CWE-937"
],
"date": "2022-11-21",
"description": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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.",
"fixed_versions": [
"2.8.4",
"2.9.3",
"2.10.1"
],
"identifier": "CVE-2022-41884",
"identifiers": [
"GHSA-jq6x-99hj-q636",
"CVE-2022-41884"
],
"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": "Always-Incorrect Control Flow Implementation",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636",
"https://nvd.nist.gov/vuln/detail/CVE-2022-41884",
"https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784",
"https://github.com/advisories/GHSA-jq6x-99hj-q636"
],
"uuid": "31d4d959-9062-41b6-8584-5a0eb71b0104"
},
{
"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:N/I:N/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-670",
"CWE-937"
],
"date": "2022-11-22",
"description": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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.",
"fixed_versions": [
"2.8.4",
"2.9.3",
"2.10.1"
],
"identifier": "CVE-2022-41884",
"identifiers": [
"CVE-2022-41884",
"GHSA-jq6x-99hj-q636"
],
"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": "2022-11-18",
"solution": "Upgrade to versions 2.8.4, 2.9.3, 2.10.1 or above.",
"title": "Always-Incorrect Control Flow Implementation",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636",
"https://nvd.nist.gov/vuln/detail/CVE-2022-41884",
"https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784",
"https://github.com/advisories/GHSA-jq6x-99hj-q636"
],
"uuid": "3f6a763e-b993-4af2-aa47-b414e278e577"
}
]
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:2.10.0:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "2.9.3",
"versionStartIncluding": "2.9.0",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "2.8.4",
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-41884"
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "en",
"value": "TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-670"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636",
"refsource": "CONFIRM",
"tags": [
"Exploit",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784",
"refsource": "MISC",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784"
}
]
}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2022-11-22T21:53Z",
"publishedDate": "2022-11-18T22:15Z"
}
}
}
Loading…
Loading…
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.