GSD-2022-24866
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Discourse Assign is a plugin for assigning users to a topic in Discourse, an open-source messaging platform. Prior to version 1.0.1, the UserBookmarkSerializer serialized the whole User / Group object, which leaked some private information. The data was only being serialized to people who could view assignment info, which is limited to staff by default. For the vast majority of sites, this data was only leaked to trusted staff member, but for sites with assign features enabled publicly, the data was accessible to more people than just staff. Version 1.0.1 contains a patch. There are currently no known workarounds.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-24866",
"description": "Discourse Assign is a plugin for assigning users to a topic in Discourse, an open-source messaging platform. Prior to version 1.0.1, the UserBookmarkSerializer serialized the whole User / Group object, which leaked some private information. The data was only being serialized to people who could view assignment info, which is limited to staff by default. For the vast majority of sites, this data was only leaked to trusted staff member, but for sites with assign features enabled publicly, the data was accessible to more people than just staff. Version 1.0.1 contains a patch. There are currently no known workarounds.",
"id": "GSD-2022-24866"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "Discourse Assign is a plugin for assigning users to a topic in Discourse, an open-source messaging platform. Prior to version 1.0.1, the UserBookmarkSerializer serialized the whole User / Group object, which leaked some private information. The data was only being serialized to people who could view assignment info, which is limited to staff by default. For the vast majority of sites, this data was only leaked to trusted staff member, but for sites with assign features enabled publicly, the data was accessible to more people than just staff. Version 1.0.1 contains a patch. There are currently no known workarounds.",
"id": "GSD-2022-24866",
"modified": "2023-12-13T01:19:42.926164Z",
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}
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},
"affects": {
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}
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
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"scope": "UNCHANGED",
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"version": "2.0"
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"exploitabilityScore": 8.0,
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"obtainOtherPrivilege": false,
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"severity": "MEDIUM",
"userInteractionRequired": false
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},
"lastModifiedDate": "2022-05-06T14:08Z",
"publishedDate": "2022-04-26T19:15Z"
}
}
}
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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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