GSD-2024-1888
Vulnerability from gsd - Updated: 2024-02-27 06:02Details
Mattermost fails to check the "invite_guest" permission when inviting guests of other teams to a team, allowing a member with permissions to add other members but not to add guests to add a guest to a team as long as the guest was already a guest in another team of the server
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2024-1888"
],
"details": "Mattermost fails to check the\u00a0\"invite_guest\" permission when inviting\u00a0guests of other teams to a team, allowing a member with permissions to add other members but not to add guests to add a guest to a team as long as the guest was already a guest in another team of the server\n\n",
"id": "GSD-2024-1888",
"modified": "2024-02-27T06:02:29.409204Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC"
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"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Mattermost",
"version": {
"version_data": [
{
"version_value": "not down converted",
"x_cve_json_5_version_data": {
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"versions": [
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"version": "0",
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"credits": [
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"value": "Mattermost fails to check the\u00a0\"invite_guest\" permission when inviting\u00a0guests of other teams to a team, allowing a member with permissions to add other members but not to add guests to add a guest to a team as long as the guest was already a guest in another team of the server\n\n"
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"attackVector": "NETWORK",
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"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"value": "\u003cp\u003eUpdate Mattermost Server to versions 9.5.0, 9.4.2, 9.3.1, 9.2.5, 8.1.9 or higher.\u003c/p\u003e"
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],
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"value": "Mattermost fails to check the\u00a0\"invite_guest\" permission when inviting\u00a0guests of other teams to a team, allowing a member with permissions to add other members but not to add guests to add a guest to a team as long as the guest was already a guest in another team of the server\n\n"
}
],
"id": "CVE-2024-1888",
"lastModified": "2024-02-29T13:49:29.390",
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"source": "responsibledisclosure@mattermost.com",
"type": "Secondary"
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"published": "2024-02-29T09:15:06.563",
"references": [
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"source": "responsibledisclosure@mattermost.com",
"url": "https://mattermost.com/security-updates"
}
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"sourceIdentifier": "responsibledisclosure@mattermost.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
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}
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}
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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 |
|---|
Nomenclature
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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