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CVE-2026-9752 MongoDB CVE debrief

CVE-2026-9752 is a HIGH severity vulnerability with a CVSS score of 7.1. An authorized user could trigger a server crash by running a query with a 2dsphere index on a field that stores a GeoJSON GeometryCollection containing a Polygon with a strict-winding CRS. This occurs because the guard that rejects strict-winding polygons does not inspect members of a GeometryCollection, allowing the unsafe path to be reached, which ends with a null-pointer dereference.

Vendor
MongoDB
Product
MongoDB Server
CVSS
HIGH 7.1
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-09
Original CVE updated
2026-06-18
Advisory published
2026-06-09
Advisory updated
2026-06-18

Who should care

Users of MongoDB should be aware of this vulnerability and take necessary actions to mitigate it.

Technical summary

The vulnerability exists in MongoDB, which allows an authorized user to trigger a server crash. The issue arises from the improper handling of GeoJSON GeometryCollections containing Polygons with strict-winding CRS in 2dsphere indexes.

Defensive priority

HIGH

Recommended defensive actions

  • Apply the patch or update as recommended by the vendor.
  • Restrict access to the MongoDB instance to only trusted users.
  • Monitor MongoDB instance for unusual activity.

Evidence notes

The CVE record and details were obtained from the official CVE website and the NVD database.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-9752 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-9752

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

  • CVE-2026-9752 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-9752

    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.