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CVE-2026-44172 MariaDB CVE debrief

A SQL injection vulnerability was discovered in MariaDB server versions 3.3.18 and 3.4.8. An application taking non-validated user input, escaping it with mysql_real_escape_string(), and sending it to the database using text protocol and big5 character set was vulnerable to SQL injections. This issue was patched in versions 3.3.19 and 3.4.9.

Vendor
MariaDB
Product
server
CVSS
MEDIUM 6.9
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-12
Original CVE updated
2026-07-30
Advisory published
2026-06-12
Advisory updated
2026-07-30

Who should care

Users of MariaDB server versions 3.3.18 and 3.4.8 should update to patched versions 3.3.19 or 3.4.9 to prevent SQL injection attacks.

Technical summary

The vulnerability occurs when an application uses mysql_real_escape_string() to escape user input, which is then sent to the database using text protocol and big5 character set. This allows attackers to inject malicious SQL code despite the use of mysql_real_escape_string().

Defensive priority

MEDIUM

Recommended defensive actions

  • Update MariaDB server to version 3.3.19 or 3.4.9
  • Validate and sanitize user input before sending it to the database
  • Use prepared statements with parameterized queries instead of text protocol

Evidence notes

The CVE-2026-44172 vulnerability was patched in MariaDB server versions 3.3.19 and 3.4.9. For more information, see [cve-org](https://www.cve.org/CVERecord?id=CVE-2026-44172) and [nvd](https://nvd.nist.gov/vuln/detail/CVE-2026-44172).

Sources and references

Verified primary and authoritative sources

  • CVE-2026-44172 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-44172

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

  • CVE-2026-44172 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-44172

    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.