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PatchSiren cyber security CVE debrief

CVE-2026-11529 designcomputer CVE debrief

A SQL injection vulnerability was discovered in the mysql-mcp-server up to version 0.2.2. The vulnerability is located in the `read_resource` function of the `src/mysql_mcp_server/server.py` file, which is part of the mysql URI handler component. An attacker can exploit this vulnerability by manipulating the `uri_str` argument, allowing for remote exploitation. The exploit has been publicly disclosed and may be utilized. Upgrading to version 0.3.0 is sufficient to resolve this issue.

Vendor
designcomputer
Product
mysql-mcp-server
CVSS
LOW 2.1
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-08
Original CVE updated
2026-07-23
Advisory published
2026-06-08
Advisory updated
2026-07-23

Who should care

Users of mysql-mcp-server up to version 0.2.2 should be aware of this vulnerability and take action to upgrade to version 0.3.0.

Technical summary

The vulnerability has a CVSS score of 2.1 and is classified as LOW severity. The CVSS vector is CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X.

Defensive priority

Low

Recommended defensive actions

  • Upgrade to version 0.3.0 of mysql-mcp-server to resolve this issue.

Evidence notes

The vulnerability was discovered and publicly disclosed. The exploit has been made public and may be utilized.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-11529 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-11529

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

  • CVE-2026-11529 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-11529

    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.