gsd-2020-28975
Vulnerability from gsd
Modified
2023-12-13 01:22
Details
** DISPUTED ** svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by an application that changes a private attribute.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-28975",
"description": "** DISPUTED ** svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor\u0027s position is that the behavior can only occur if the library\u0027s API is violated by an application that changes a private attribute.",
"id": "GSD-2020-28975",
"references": [
"https://www.suse.com/security/cve/CVE-2020-28975.html",
"https://packetstormsecurity.com/files/cve/CVE-2020-28975"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2020-28975"
],
"details": "** DISPUTED ** svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor\u0027s position is that the behavior can only occur if the library\u0027s API is violated by an application that changes a private attribute.",
"id": "GSD-2020-28975",
"modified": "2023-12-13T01:22:01.649341Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "cve@mitre.org",
"ID": "CVE-2020-28975",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "** DISPUTED ** svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor\u0027s position is that the behavior can only occur if the library\u0027s API is violated by an application that changes a private attribute."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "n/a"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/scikit-learn/scikit-learn/issues/18891",
"refsource": "MISC",
"url": "https://github.com/scikit-learn/scikit-learn/issues/18891"
},
{
"name": "https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501",
"refsource": "MISC",
"url": "https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501"
},
{
"name": "20201130 scikit-learn 0.23.2 Local Denial of Service",
"refsource": "FULLDISC",
"url": "http://seclists.org/fulldisclosure/2020/Nov/44"
},
{
"name": "http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html",
"refsource": "MISC",
"url": "http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html"
},
{
"name": "https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85",
"refsource": "MISC",
"url": "https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85"
},
{
"name": "GLSA-202301-03",
"refsource": "GENTOO",
"url": "https://security.gentoo.org/glsa/202301-03"
}
]
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "==0.23.2",
"affected_versions": "Version 0.23.2",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"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-937"
],
"date": "2020-12-03",
"description": "The `svm_predict_values` in `svm.cpp` in Libsvm, as used in scikit-learn and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the `_n_support` array. Note, the scikit-learn vendor\u0027s position is that the behavior can only occur if the library\u0027s API is violated by an application that changes a private attribute.",
"fixed_versions": [
"0.24.0"
],
"identifier": "CVE-2020-28975",
"identifiers": [
"CVE-2020-28975"
],
"not_impacted": "All versions before 0.23.2, all versions after 0.23.2",
"package_slug": "pypi/scikit-learn",
"pubdate": "2020-11-21",
"solution": "Upgrade to version 0.24.0 or above.",
"title": "Denial of Service",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2020-28975"
],
"uuid": "c66d424c-6a24-46a3-9146-f8ebe4c7891a"
}
]
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:*:*:*",
"matchCriteriaId": "4320862C-5961-4410-A723-8AC2475C9C51",
"versionEndExcluding": "1.0.1",
"versionStartIncluding": "0.23.2",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor\u0027s position is that the behavior can only occur if the library\u0027s API is violated by an application that changes a private attribute."
},
{
"lang": "es",
"value": "**EN DISPUTA** La funci\u00f3n svm_predict_values en el archivo svm.cpp en Libsvm versi\u00f3n v324, como es usado en scikit-learn versiones 0.23.2 y otros productos, permite a atacantes causar una denegaci\u00f3n de servicio (fallo de segmentaci\u00f3n) por medio de un modelo SVM dise\u00f1ado (introducido por medio de pickle, json o cualquier otro modelo est\u00e1ndar de permanencia) con un valor grande en la matriz _n_supportNOTA: la posici\u00f3n del proveedor de scikit-learn es que el comportamiento s\u00f3lo puede ocurrir si la API de la biblioteca es violada por una aplicaci\u00f3n que cambia un atributo privado"
}
],
"id": "CVE-2020-28975",
"lastModified": "2024-04-11T01:08:20.780",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"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,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2020-11-21T21:15:10.680",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Third Party Advisory",
"VDB Entry"
],
"url": "http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html"
},
{
"source": "cve@mitre.org",
"tags": [
"Mailing List",
"Third Party Advisory"
],
"url": "http://seclists.org/fulldisclosure/2020/Nov/44"
},
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501"
},
{
"source": "cve@mitre.org",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85"
},
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://github.com/scikit-learn/scikit-learn/issues/18891"
},
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://security.gentoo.org/glsa/202301-03"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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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.
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- 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.
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