CVE-2021-33611 (GCVE-0-2021-33611)
Vulnerability from cvelistv5 – Published: 2021-11-02 10:06 – Updated: 2024-09-17 02:32
VLAI
EPSS
VEX
Title
Reflected cross-site scripting in vaadin-menu-bar webjar resources in Vaadin 14
Summary
Missing output sanitization in test sources in org.webjars.bowergithub.vaadin:vaadin-menu-bar versions 1.0.0 through 1.2.0 (Vaadin 14.0.0 through 14.4.4) allows remote attackers to execute malicious JavaScript in browser by opening crafted URL
Severity
6.1 (Medium)
CWE
- CWE-79 - Cross-site Scripting (XSS)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://vaadin.com/security/cve-2021-33611 | x_refsource_CONFIRM |
| https://github.com/vaadin/vaadin-menu-bar/pull/126 | x_refsource_CONFIRM |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Vaadin | Vaadin |
Affected:
14.0.0 , < unspecified
(custom)
Affected: unspecified , ≤ 14.4.4 (custom) |
guessed | |
| Vaadin | vaadin-menu-bar |
Affected:
1.0.0 , < unspecified
(custom)
Affected: unspecified , ≤ 1.2.0 (custom) |
guessed |
Date Public
2021-11-01 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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