GSD-2016-8608
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
JBoss BRMS 6 and BPM Suite 6 are vulnerable to a stored XSS via business process editor. The flaw is due to an incomplete fix for CVE-2016-5398. Remote, authenticated attackers that have privileges to create business processes can store scripts in them, which are not properly sanitized before showing to other users, including admins.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-8608",
"description": "JBoss BRMS 6 and BPM Suite 6 are vulnerable to a stored XSS via business process editor. The flaw is due to an incomplete fix for CVE-2016-5398. Remote, authenticated attackers that have privileges to create business processes can store scripts in them, which are not properly sanitized before showing to other users, including admins.",
"id": "GSD-2016-8608",
"references": [
"https://access.redhat.com/errata/RHSA-2016:2823",
"https://access.redhat.com/errata/RHSA-2016:2822"
]
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
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"id": "GSD-2016-8608",
"modified": "2023-12-13T01:21:22.732552Z",
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}
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"gitlab.com": {
"advisories": [
{
"affected_range": "[6-alpha0,6.5.0.Final],[7-alpha0,7.0.0.Beta2]",
"affected_versions": "All versions starting from 6-alpha0 up to 6.5.0.final, all versions starting from 7-alpha0 up to 7.0.0.beta2",
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"cwe_ids": [
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"CWE-937"
],
"date": "2019-10-09",
"description": "This package are vulnerable to a stored XSS via business process editor. The flaw is due to an incomplete fix for CVE-2016-5398. Remote authenticated attackers that have privileges to create business processes can store scripts in them, which are not properly sanitized before showing to other users, including admins.",
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"package_slug": "maven/org.jbpm/jbpm-designer-client",
"pubdate": "2018-08-01",
"solution": "Upgrade to version 7.0.0.Beta3 or above.",
"title": "Stored XSS in business process editor",
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}
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"impact": {
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"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"version": "2.0"
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},
"lastModifiedDate": "2023-02-12T23:25Z",
"publishedDate": "2018-08-01T14:29Z"
}
}
}
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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.
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.
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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.
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