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CVE-2026-12200 Ritlabs CVE debrief

A stack-based buffer overflow vulnerability has been detected in Ritlabs TinyWeb Server up to 1.94 on Win32. The vulnerability impacts an unknown function in the library libeay32.dll of the Header Handler component. The manipulation of the argument Authorization leads to the vulnerability. The attack can be initiated remotely and has been disclosed publicly.

Vendor
Ritlabs
Product
TinyWeb Server
CVSS
MEDIUM 5.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-15
Original CVE updated
2026-06-15
Advisory published
2026-06-15
Advisory updated
2026-06-15

Who should care

Users of Ritlabs TinyWeb Server up to 1.94 on Win32 should apply patches or mitigations to prevent exploitation.

Technical summary

The vulnerability has a CVSS score of 5.5 and is classified as MEDIUM severity. It is related to CWE-119 and CWE-121. The vulnerability allows for remote exploitation and has been publicly disclosed.

Defensive priority

MEDIUM

Recommended defensive actions

  • Apply patches or updates to Ritlabs TinyWeb Server to version 1.95 or later.
  • Restrict access to the affected component or disable it if not required.
  • Monitor for suspicious activity and implement additional security measures to detect and prevent exploitation.

Evidence notes

The vendor was contacted early about this disclosure but did not respond in any way.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-12200 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-12200

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-12200 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-12200

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

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.