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CVE-2026-12210 universal-tool-calling-protocol CVE debrief

A Server-Side Request Forgery (SSRF) vulnerability was detected in universal-tool-calling-protocol python-utcp 1.1.0. This affects an unknown function of the component utcp-gql/utcp-websocket. Performing a manipulation results in server-side request forgery. The attack can be initiated remotely. The exploit is now public and may be used.

Vendor
universal-tool-calling-protocol
Product
python-utcp
CVSS
LOW 2.1
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 universal-tool-calling-protocol python-utcp 1.1.0 are affected by this vulnerability.

Technical summary

The vulnerability has a CVSS score of 2.1 and a CVSS severity of LOW. The Common Weakness Enumeration (CWE) associated with this vulnerability is CWE-918.

Defensive priority

This vulnerability has a low CVSS score, indicating a relatively low severity. However, as the exploit is publicly available, users of the affected software should prioritize patching.

Recommended defensive actions

  • Apply patches or updates provided by the vendor.
  • Restrict access to the affected component.
  • Monitor for suspicious activity.

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-2026-12210 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-12210

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

  • CVE-2026-12210 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-12210

    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.