CVE-2026-25131 (GCVE-0-2026-25131)

Vulnerability from cvelistv5 – Published: 2026-02-25 01:55 – Updated: 2026-02-25 20:34
VLAI
Title
OpenEMR has Broken Access Control in Procedures Configuration
Summary
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to version 8.0.0, a Broken Access Control vulnerability exists in the OpenEMR order types management system, allowing low-privilege users (such as Receptionist) to add and modify procedure types without proper authorization. This vulnerability is present in the /openemr/interface/orders/types_edit.php endpoint. Version 8.0.0 contains a patch.
Severity
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-25 20:30 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version
openemr openemr Affected: < 8.0.0
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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

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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.



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.