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CVE-2026-81532 MongoDB CVE debrief

A user able to submit SQL through an application using the MongoDB Connector for BI ODBC driver can supply a positioned-cursor statement whose cursor name exceeds the size of an internal fixed-length buffer. Because the name length is not bounded before the driver builds its diagnostic message, memory adjacent to that buffer is overwritten with user-supplied content. This can terminate the hosting application process and may allow unintended code to run within it.

Vendor
MongoDB
Product
BI Connector ODBC Driver
CVSS
HIGH 8.7
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-28
Original CVE updated
2026-09-11
Advisory published
2026-08-28
Advisory updated
2026-09-11

Who should care

Defenders responsible for MongoDB BI Connector ODBC Driver installations, especially in environments where user-submitted SQL is common, should assess exposure and prioritize verification and patching.

Why it matters

Defenders should care about CVE-2026-81532 because it affects the MongoDB BI Connector ODBC Driver, potentially allowing buffer overflow and unintended code execution. Verification and patching are crucial, especially in environments with user-submitted SQL.

  • Potential application termination due to buffer overflow
  • Possible unintended code execution within the hosting application process
  • Need for verification of affected versions and deployments
  • Priority for patching and implementing compensating controls

Technical summary

The MongoDB Connector for BI ODBC driver is vulnerable to a buffer overflow when handling positioned-cursor statements with overly long cursor names. This can lead to application termination and potentially allow unintended code execution. The vulnerability affects the MongoDB BI Connector ODBC Driver and requires verification of affected versions and deployments. Defenders should prioritize verifying and patching affected installations, especially in environments where user-submitted SQL is common. The vulnerability has a CVSS score of 8.7 and is considered HIGH severity.

Defensive priority

Defenders should prioritize verifying and patching affected MongoDB BI Connector ODBC Driver installations, especially in environments where user-submitted SQL is common.

Recommended defensive actions

  • Verify MongoDB BI Connector ODBC Driver version and apply patches if available
  • Review application configurations to limit user-submitted SQL
  • Monitor for suspicious activity and implement compensating controls
  • Perform asset inventory of affected systems
  • Review and implement rollback/change windows for remediation
  • Track exceptions and retest remediated assets
  • technicalSummary

Evidence notes

The CVE record and NVD vulnerability detail provide information on the vulnerability. Additional verification is needed to confirm affected versions and deployments. Defenders should verify MongoDB BI Connector ODBC Driver versions, review application configurations, and monitor for suspicious activity. Evidence from the CVE Program and NVD suggests a buffer overflow vulnerability, but further review of vendor advisories and system configurations is required.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-81532 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-81532

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

  • CVE-2026-81532 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-81532

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

Supplemental references

  • Source reference

    Unverified legacy reference

    URL: https://github.com/mongodb/mongo-bi-connector-odbc-driver/releases

    [email protected] - Vendor Advisory, Release Notes

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.