CVE-2026-42333
Published: 09 May 2026
Summary
CVE-2026-42333 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability. Its CVSS base score is 6.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Unsecured Credentials (T1552); ranked at the 47.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-28928
Vulnerability details
Quarkus OpenAPI Generator is Quarkus' extensions for generation of Rest Clients and server stubs generation. Prior to versions 2.11.1-lts, 2.16.0-lts, and 2.17.0, the generated authentication filter matches OpenAPI path templates too broadly when deciding whether to attach credentials. A security…
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scheme configured for one operation can therefore be applied to a different same-method operation whose path only partially resembles the protected template, causing bearer tokens, API keys, or basic credentials to be sent to unintended endpoints. This issue has been patched in versions 2.11.1-lts, 2.16.0-lts, and 2.17.0.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Vulnerability causes credentials (tokens, keys, basic auth) to be sent to unintended endpoints due to overly broad path matching in auth filter, directly enabling exposure of unsecured credentials.
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.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.