CVE-2026-32119 (GCVE-0-2026-32119)
Vulnerability from cvelistv5 – Published: 2026-03-19 19:41 – Updated: 2026-03-19 20:39
VLAI
EPSS
VEX
Title
OpenEMR has Stored DOM XSS via SearchHighlight text-node reconstruction on Custom Report page
Summary
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to 8.0.0.2, DOM-based stored XSS in the jQuery SearchHighlight plugin (`library/js/SearchHighlight.js`) allows an authenticated user with encounter form write access to inject arbitrary JavaScript that executes in another clinician's browser session when they use the search/find feature on the Custom Report page. The plugin reverses server-side HTML entity encoding by reading decoded text from DOM text nodes, concatenating it into a raw HTML string, and passing it to jQuery's `$()` constructor for HTML parsing. Version 8.0.0.2 fixes the issue.
Severity
4.4 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-19 20:39 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/openemr/openemr/security/advis… | x_refsource_CONFIRM |
| https://github.com/openemr/openemr/commit/70a4112… | x_refsource_MISC |
Impacted products
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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.
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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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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.