CVE-2022-24890 (GCVE-0-2022-24890)
Vulnerability from cvelistv5 – Published: 2022-05-17 19:00 – Updated: 2025-04-22 18:01
VLAI
EPSS
VEX
Title
Exposure of Private Personal Information to an Unauthorized Actor in Nextcloud Talk
Summary
Nextcloud Talk is a video and audio conferencing app for Nextcloud. In versions prior to 13.0.5 and 14.0.0, a call moderator can indirectly enable user webcams by granting permissions, if they were enabled before removing the permissions. A patch is available in versions 13.0.5 and 14.0.0. There are currently no known workarounds.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-22 15:48 UTC
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/nextcloud/security-advisories/… | x_refsource_CONFIRM |
| https://github.com/nextcloud/spreed/issues/7048 | x_refsource_MISC |
| https://github.com/nextcloud/spreed/pull/7034 | x_refsource_MISC |
| https://github.com/nextcloud/spreed/pull/7092 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| nextcloud | security-advisories |
Affected:
< 13.0.5
|
guessed |
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"availabilityImpact": "NONE",
"baseScore": 2.4,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:U/C:L/I:N/A:N",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-359: Exposure of Private Personal Information to an Unauthorized Actor"
}
]
},
{
"description": [
{
"lang": "eng",
"value": "CWE-200: Exposure of Sensitive Information to an Unauthorized Actor"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/nextcloud/security-advisories/security/advisories/GHSA-vxpr-hcqq-7fw7",
"refsource": "CONFIRM",
"url": "https://github.com/nextcloud/security-advisories/security/advisories/GHSA-vxpr-hcqq-7fw7"
},
{
"name": "https://github.com/nextcloud/spreed/issues/7048",
"refsource": "MISC",
"url": "https://github.com/nextcloud/spreed/issues/7048"
},
{
"name": "https://github.com/nextcloud/spreed/pull/7034",
"refsource": "MISC",
"url": "https://github.com/nextcloud/spreed/pull/7034"
},
{
"name": "https://github.com/nextcloud/spreed/pull/7092",
"refsource": "MISC",
"url": "https://github.com/nextcloud/spreed/pull/7092"
}
]
},
"source": {
"advisory": "GHSA-vxpr-hcqq-7fw7",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-24890",
"datePublished": "2022-05-17T19:00:15.000Z",
"dateReserved": "2022-02-10T00:00:00.000Z",
"dateUpdated": "2025-04-22T18:01:26.535Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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