CVE-2026-7421 (GCVE-0-2026-7421)
Vulnerability from cvelistv5 – Published: 2026-06-02 23:27 – Updated: 2026-06-03 14:07
VLAI
EPSS
VEX
Title
Passeum Ticketing <= 1.0 - Authenticated (Administrator+) Stored Cross-Site Scripting via 'shop_name' Setting
Summary
The Passeum Ticketing plugin for WordPress is vulnerable to Stored Cross-Site Scripting in all versions up to, and including, 1.0. This is due to the `get_shop_url()` method returning the `shop_name` setting value without sanitization when it begins with "http", combined with insufficient validation in the `validate_shop_name()` function which only checks for empty values and string type. This makes it possible for authenticated attackers, with Administrator-level access and above, to inject arbitrary external scripts by setting the `shop_name` to an attacker-controlled URL (e.g., `https://attacker.com`), which causes the plugin to enqueue external JavaScript and CSS from the attacker-controlled domain via `wp_register_script()` and `wp_register_style()`. The injected scripts execute on every frontend page containing any Passeum Ticketing shortcode, affecting all site visitors. Please note that this does not affect single-site installations as administrators already have the `unfiltered_html` capability.
Severity
4.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-03 13:18 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
7 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| passeum | Passeum Ticketing |
Affected:
0 , ≤ 1.0
(semver)
|
guessed |
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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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