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VulnerabilityPublished

CVE-2026-67610: OpenEMR through 8.2.0 contains an improper authentication vulnerability in the OAuth2 dynamic client registration endpoint that allows

Source GCVE Database

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Not known to be exploited · CVSS 8.1 High.

Data as of 1 Nov 2026, 22:58 UTC

CVSS 3.1 base score
8.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 41% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 3 Aug 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 1 Nov 2026.

What to do

AI-suggested

In the meantime, administrators should carefully review and restrict approvals of OAuth2 client registrations, especially scrutinizing any dynamic client registration requests. Limiting administrative approval to trusted personnel and auditing OAuth2 client registrations can help mitigate risk until a fix is available.

Description

OpenEMR versions through 8.2.0 have an improper authentication vulnerability in the OAuth2 dynamic client registration endpoint. This flaw allows unauthenticated attackers to register malicious clients with system-level FHIR scopes by submitting a self-generated RSA keypair. After an administrator approves the client, attackers can use the client_credentials grant with a self-signed JWT assertion to obtain access tokens. These tokens grant read access to all FHIR resources for all patients in the system, potentially exposing sensitive health data.

References

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