Overview
- Description
- 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.
- Source
- cve@mitre.org
- NVD status
- Modified
- CNA Tags
- disputed
Risk scores
CVSS 3.1
- Type
- Primary
- Base score
- 7.5
- Impact score
- 3.6
- Exploitability score
- 3.9
- Vector string
- CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- Severity
- HIGH
CVSS 2.0
- Type
- Primary
- Base score
- 5
- Impact score
- 2.9
- Exploitability score
- 10
- Vector string
- AV:N/AC:L/Au:N/C:N/I:N/A:P
Weaknesses
- nvd@nist.gov
- NVD-CWE-noinfo
Social media
- Hype score
- Not currently trending
Configurations
[
{
"nodes": [
{
"negate": false,
"cpeMatch": [
{
"criteria": "cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:*:*:*",
"vulnerable": true,
"matchCriteriaId": "4320862C-5961-4410-A723-8AC2475C9C51",
"versionEndExcluding": "1.0.1",
"versionStartIncluding": "0.23.2"
}
],
"operator": "OR"
}
]
}
]