CVE-2022-1181
Published: 30 March 2022
Summary
CVE-2022-1181 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Open-Emr Openemr. Its CVSS base score is 5.4 (Medium).
Operationally, ranked in the top 5.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
CVE-2022-1181 is a stored cross-site scripting vulnerability, tracked as CWE-79, that affects the OpenEMR electronic health records platform in versions prior to 6.0.0.2. The flaw resides in the GitHub repository openemr/openemr and carries a CVSS 3.1 score of 5.4, reflecting network attack vector, low attack complexity, and required low-privileged access combined with user interaction.
An authenticated user with limited privileges can inject persistent malicious JavaScript that is later rendered in the browsers of other users who view the affected content. Successful exploitation allows the attacker to read limited sensitive data or perform actions within the victim’s session context, though availability is not impacted.
The referenced GitHub commit 2835cc397610fc28037302dad948c38fda032022 and the associated huntr.dev report document the remediation that was incorporated into the 6.0.0.2 release; administrators should apply that update or the equivalent patch to eliminate the stored XSS vector.
The EPSS score has remained flat at 0.1581 with no material increase since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-24521
Vulnerability details
Stored Cross Site Scripting in GitHub repository openemr/openemr prior to 6.0.0.2.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.