CVE-2013-7486 (GCVE-0-2013-7486)
Vulnerability from cvelistv5 – Published: 2020-01-02 18:05 – Updated: 2024-08-06 18:09
VLAI
EPSS
VEX
Summary
Cross-site scripting (XSS) vulnerability in the backend in Open-Xchange (OX) AppSuite 7.2.x before 7.2.2-rev27 and 7.4.x before 7.4.0-rev20 allows remote attackers to inject arbitrary web script or HTML via the body of an email. NOTE: this vulnerability was SPLIT from CVE-2013-6242 because it affects different sets of versions.
Severity
6.1 (Medium)
CWE
- n/a
Assigner
References
5 references
| URL | Tags |
|---|---|
| http://www.securitytracker.com/id/1029394 | vdb-entryx_refsource_SECTRACK |
| http://xforce.iss.net/xforce/xfdb/89250 | vdb-entryx_refsource_XF |
| http://seclists.org/bugtraq/2013/Nov/127 | mailing-listx_refsource_BUGTRAQ |
| http://packetstormsecurity.com/files/124185/Open-… | x_refsource_MISC |
| https://forum.open-xchange.com/showthread.php?811… | x_refsource_CONFIRM |
Date Public
2013-11-25 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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