CVE-2016-9465 (GCVE-0-2016-9465)
Vulnerability from cvelistv5 – Published: 2017-03-28 02:46 – Updated: 2024-08-06 02:50
VLAI
EPSS
VEX
Summary
Nextcloud Server before 10.0.1 & ownCloud Server before 9.0.6 and 9.1.2 suffer from Stored XSS in CardDAV image export. The CardDAV image export functionality as implemented in Nextcloud/ownCloud allows the download of images stored within a vCard. Due to not performing any kind of verification on the image content this is prone to a stored Cross-Site Scripting attack.
Severity
5.4 (Medium)
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') (CWE-79)
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://nextcloud.com/security/advisory/?id=nc-sa… | x_refsource_MISC |
| https://github.com/owncloud/core/commit/6bf3be387… | x_refsource_MISC |
| https://hackerone.com/reports/163338 | x_refsource_MISC |
| https://owncloud.org/security/advisory/?id=oc-sa-… | x_refsource_MISC |
| https://github.com/nextcloud/server/commit/68ab83… | x_refsource_MISC |
| https://github.com/owncloud/core/commit/b5a5be24c… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | Nextcloud Server & ownCloud Server Nextcloud Server before 10.0.1 & ownCloud Server before 9.0.6 and 9.1.2 |
Affected:
Nextcloud Server & ownCloud Server Nextcloud Server before 10.0.1 & ownCloud Server before 9.0.6 and 9.1.2
|
Date Public
2017-03-27 00:00
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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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