GHSA-3V9F-4VFF-RX42
Vulnerability from github – Published: 2022-05-24 16:44 – Updated: 2023-10-26 21:39Jenkins analysis-core Plugin has the capability to allow other plugins to display trend graphs for their static analysis results. analysis-core Plugin provides the configuration form for the default settings of each graph.
The configuration form and form submission handler did not perform a permission check, allowing attackers with Job/Read access to change the per-job graph configuration defaults for all users.
Additionally, the form submission handler did not require POST requests, resulting in a cross-site request forgery vulnerability.
analysis-core Plugin now requires Job/Configure permission and POST requests to configure the per-job graph defaults for all users.
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 1.95"
},
"package": {
"ecosystem": "Maven",
"name": "org.jvnet.hudson.plugins:analysis-core"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.96"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2019-10307"
],
"database_specific": {
"cwe_ids": [
"CWE-352"
],
"github_reviewed": true,
"github_reviewed_at": "2023-10-26T21:39:36Z",
"nvd_published_at": "2019-04-30T13:29:00Z",
"severity": "MODERATE"
},
"details": "Jenkins analysis-core Plugin has the capability to allow other plugins to display trend graphs for their static analysis results. analysis-core Plugin provides the configuration form for the default settings of each graph.\n\nThe configuration form and form submission handler did not perform a permission check, allowing attackers with Job/Read access to change the per-job graph configuration defaults for all users.\n\nAdditionally, the form submission handler did not require POST requests, resulting in a cross-site request forgery vulnerability.\n\nanalysis-core Plugin now requires Job/Configure permission and POST requests to configure the per-job graph defaults for all users.",
"id": "GHSA-3v9f-4vff-rx42",
"modified": "2023-10-26T21:39:36Z",
"published": "2022-05-24T16:44:54Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-10307"
},
{
"type": "WEB",
"url": "https://github.com/jenkinsci/analysis-core-plugin/commit/3d7a0c7907d831c58541508b893dcea2039809c5"
},
{
"type": "WEB",
"url": "https://jenkins.io/security/advisory/2019-04-30/#SECURITY-1100"
},
{
"type": "WEB",
"url": "https://web.archive.org/web/20200227073756/http://www.securityfocus.com/bid/108159"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2019/04/30/5"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N",
"type": "CVSS_V3"
}
],
"summary": "Jenkins Static Analysis Utilities Plugin is vulnerable to Cross-site request forgery vulnerability"
}
Sightings
| Author | Source | Type | Date | Other |
|---|
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.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.