GSD-2024-22400
Vulnerability from gsd - Updated: 2024-01-11 06:02Details
Nextcloud User Saml is an app for authenticating Nextcloud users using SAML. In affected versions users can be given a link to the Nextcloud server and end up on a uncontrolled thirdparty server. It is recommended that the User Saml app is upgraded to version 5.1.5, 5.2.5, or 6.0.1. There are no known workarounds for this issue.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"details": "Nextcloud User Saml is an app for authenticating Nextcloud users using SAML. In affected versions users can be given a link to the Nextcloud server and end up on a uncontrolled thirdparty server. It is recommended that the User Saml app is upgraded to version 5.1.5, 5.2.5, or 6.0.1. There are no known workarounds for this issue.",
"id": "GSD-2024-22400",
"modified": "2024-01-11T06:02:11.796942Z",
"schema_version": "1.4.0"
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"name": "https://github.com/nextcloud/security-advisories/security/advisories/GHSA-622q-xhfr-xmv7",
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},
{
"lang": "es",
"value": "Nextcloud User Saml es una aplicaci\u00f3n para autenticar a los usuarios de Nextcloud mediante SAML. En las versiones afectadas, a los usuarios se les puede proporcionar un enlace al servidor de Nextcloud y terminar en un servidor de terceros no controlado. Se recomienda actualizar la aplicaci\u00f3n User Saml a la versi\u00f3n 5.1.5, 5.2.5 o 6.0.1. No se conocen workarounds para este problema."
}
],
"id": "CVE-2024-22400",
"lastModified": "2024-01-26T20:55:37.543",
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"published": "2024-01-18T20:15:08.360",
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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
- 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.
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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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