CVE-2020-7934 (GCVE-0-2020-7934)
Vulnerability from cvelistv5 – Published: 2020-01-28 13:03 – Updated: 2024-08-04 09:48
VLAI
EPSS
VEX
Summary
In LifeRay Portal CE 7.1.0 through 7.2.1 GA2, the First Name, Middle Name, and Last Name fields for user accounts in MyAccountPortlet are all vulnerable to a persistent XSS issue. Any user can modify these fields with a particular XSS payload, and it will be stored in the database. The payload will then be rendered when a user utilizes the search feature to search for other users (i.e., if a user with modified fields occurs in the search results). This issue was fixed in Liferay Portal CE version 7.3.0 GA1.
Severity
5.4 (Medium)
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://semanticbits.com/liferay-portal-authentic… | x_refsource_MISC |
| https://github.com/3ndG4me/liferay-xss-7.2.1GA2-p… | x_refsource_MISC |
| http://packetstormsecurity.com/files/160168/LifeR… | x_refsource_MISC |
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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
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