Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:NSummary
CVE-2026-11820 is a medium-severity Insertion of Sensitive Information into Log File (CWE-532) vulnerability in Redhat Enterprise Linux. Its CVSS base score is 6.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Unsecured Credentials (T1552); ranked at the 21th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to AU-9 (Protection of Audit Information) and AU-3 (Content of Audit Records) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-38605
Vulnerability Data
A flaw was found in the community.general Ansible collection's nexmo module. The module constructs HTTP requests to the Vonage/Nexmo SMS API by encoding API credentials (api_key and api_secret) into URL query parameters and sending them via GET requests. This causes…
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credentials to be exposed in web server access logs, proxy logs, HTTP Referer headers, and network monitoring tools, despite the Ansible argument specification marking these parameters as no_log. An attacker with access to any of these logging or monitoring points can obtain the full API credentials and gain unauthorized access to the victim's Vonage/Nexmo account.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Vulnerability directly causes API credentials to be written to log files (web server/proxy logs), enabling T1552/T1552.001.
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly protects audit and log files from unauthorized access, mitigating exposure of credentials that end up in web/proxy logs.
Specifies the content of audit records and can be configured to exclude sensitive values such as API credentials from being recorded.
Requires error and diagnostic output (including logs) to avoid revealing sensitive information, addressing the root cause of credential leakage via GET URLs.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly prohibit writing sensitive data to logs; eliminating the weakness satisfies only one narrow slice of the control.
Log generation configuration can and should exclude sensitive data, but the control statement focuses on availability rather than content filtering.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Requiring de-identification and privacy controls before logs leave the organization reduces the chance that sensitive data inadvertently captured in logs becomes exposed to external parties.
By defining what records must be kept, where, and for how long, the control discourages the inadvertent inclusion of sensitive information in logs or other externally accessible files that fall outside the formal record system.
Mandating deletion of temporary files and logs that may contain sensitive information prevents those artifacts from remaining accessible after the data is no longer needed.
When log entries are produced from masked data sets, the control prevents the inadvertent insertion of sensitive values into externally accessible log files.
DLP inspection of logs and file transfers can detect and block the inadvertent placement of sensitive tokens or credentials into externally accessible log files before they are written or transmitted.
Requiring restrictions on free-text fields and proper error-message handling stops developers from embedding or leaking sensitive data into logs or diagnostic output.