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CVE-2026-82059 MongoDB CVE debrief

CVE-2026-82059 debrief based on CVE Program and NVD records. The vulnerability affects MongoDB Server, allowing an authenticated user with read-only privileges to trigger a denial of service. MongoDB administrators and security teams should assess exposure and prioritize patching. The issue involves an internal aggregation expression incorrectly registered as accessible to any authenticated user. A malformed index specification can trigger an assertion failure, potentially causing a denial of service to all connected clients.

Vendor
MongoDB
Product
MongoDB Server
CVSS
MEDIUM 6
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-08
Original CVE updated
2026-09-16
Advisory published
2026-09-08
Advisory updated
2026-09-16

Who should care

MongoDB administrators, security teams, and developers using MongoDB Server should assess exposure, prioritize patching, and monitor for abnormal activity. These stakeholders are crucial in ensuring the security and integrity of MongoDB deployments. They should review and apply patches, restrict access to internal cluster operations, and monitor for potential denial-of-service attacks.

Why it matters

CVE-2026-82059 is a medium-severity vulnerability in MongoDB Server that could allow an authenticated user with read-only privileges to trigger a denial of service. MongoDB administrators and security teams should assess exposure, prioritize patching, and monitor for abnormal activity.

  • Denial of service to all connected clients
  • Potential disruption to database operations
  • Need for verification of affected versions and patch application
  • Possible impact on data availability

Technical summary

An internal aggregation expression in MongoDB Server was incorrectly registered as accessible to any authenticated user. By crafting a malformed index specification within this expression, an authenticated user with read-only privileges could trigger an assertion failure in the index key generation code path. This assertion failure results in termination of the mongod process, causing a denial of service to all connected clients in certain build configurations. The issue highlights the importance of restricting access to internal cluster operations and monitoring for abnormal index specification activity.

Defensive priority

Medium priority for MongoDB administrators and security teams

Recommended defensive actions

  • Review and apply MongoDB patches for affected versions
  • Restrict access to internal cluster operations
  • Monitor for abnormal index specification activity
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record and NVD details indicate an internal aggregation expression vulnerability in MongoDB Server. An authenticated user with read-only privileges could trigger a denial of service by crafting a malformed index specification. The issue results from an internal aggregation expression being incorrectly registered as accessible to any authenticated user. Defenders should verify affected versions, apply patches, and monitor for abnormal activity.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-82059 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-82059

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

  • CVE-2026-82059 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-82059

    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.