PatchSiren cyber security CVE debrief
CVE-2026-11345 linqi GmbH CVE debrief
CVE-2026-11345 is an Improper Authentication vulnerability in the /api/Cdn/GetFile endpoint of linqi. This flaw allows unauthenticated, remote attackers to bypass file access controls by providing an 'AnonFile' query parameter containing exactly 256 characters. However, the actual security impact is negligible as the exposed resources are limited to minified JavaScript and CSS files that contain no sensitive data and are already publicly accessible via a standard CDN.
- Vendor
- linqi GmbH
- Product
- linqi
- CVSS
- MEDIUM 6.9
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-06-05
- Original CVE updated
- 2026-06-05
- Advisory published
- 2026-06-05
- Advisory updated
- 2026-06-05
Who should care
Users of linqi should be aware of this vulnerability and take necessary actions to protect their systems.
Technical summary
The ValidateAnonFileAccess function incorrectly grants access if an 'AnonFile' query parameter containing exactly 256 characters is provided. This allows bypassing the intended authorization check.
Defensive priority
MEDIUM
Recommended defensive actions
- Apply patches or updates provided by the vendor to fix the vulnerability.
- Review and adjust file access controls to prevent unauthorized access.
Evidence notes
The CVSS score for this vulnerability is 6.9 (MEDIUM).
Sources and references
Verified primary and authoritative sources
-
CVE-2026-11345 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-11345
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-11345 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-11345
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://linqi.help/en/reference/security/security-advisories/
86c47df7-7d28-48da-920a-6423c52fd3da
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.