CVE-2022-36037 (GCVE-0-2022-36037)
Vulnerability from cvelistv5 – Published: 2022-08-29 17:35 – Updated: 2025-04-23 17:47
VLAI
EPSS
VEX
Title
Cross-site scripting (XSS) from dynamic options in the multiselect field in Kirby
Summary
kirby is a content management system (CMS) that adapts to many different projects and helps you build your own ideal interface. Cross-site scripting (XSS) is a type of vulnerability that allows execution of any kind of JavaScript code inside the Panel session of the same or other users. In the Panel, a harmful script can for example trigger requests to Kirby's API with the permissions of the victim. If bad actors gain access to your group of authenticated Panel users they can escalate their privileges via the Panel session of an admin user. Depending on your site, other JavaScript-powered attacks are possible. The multiselect field allows selection of tags from an autocompleted list. Unfortunately, the Panel in Kirby 3.5 used HTML rendering for the raw option value. This allowed **attackers with influence on the options source** to store HTML code. The browser of the victim who visited a page with manipulated multiselect options in the Panel will then have rendered this malicious HTML code when the victim opened the autocomplete dropdown. Users are *not* affected by this vulnerability if you don't use the multiselect field or don't use it with options that can be manipulated by attackers. The problem has been patched in Kirby 3.5.8.1.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 14:01 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
GitHub_M
CNA
References
3 references
| URL | Tags |
|---|---|
| https://github.com/getkirby/kirby/security/adviso… | x_refsource_CONFIRM |
| https://github.com/getkirby/kirby/commit/b5b88638… | x_refsource_MISC |
| https://github.com/getkirby/kirby/releases/tag/3.5.8.1 | x_refsource_MISC |
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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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