CVE-2013-3484 (GCVE-0-2013-3484)
Vulnerability from cvelistv5 – Published: 2014-04-02 15:00 – Updated: 2024-08-06 16:14
VLAI
EPSS
VEX
Summary
Multiple cross-site scripting (XSS) vulnerabilities in dotCMS before 2.3.2 allow remote attackers to inject arbitrary web script or HTML via the (1) _loginUserName parameter to application/login/login.html, (2) my_account_login parameter to c/portal_public/login, or (3) email parameter to forgotPassword.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/dotCMS/dotCMS/issues/2949 | x_refsource_CONFIRM |
| http://secunia.com/advisories/53265 | third-party-advisoryx_refsource_SECUNIA |
| http://dotcms.com/security/SI-14 | x_refsource_CONFIRM |
Date Public
2013-06-17 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.
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.
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