PatchSiren cyber security CVE debrief
CVE-2026-82069 MongoDB CVE debrief
CVE-2026-82069 is a medium-severity vulnerability in MongoDB Server's query statistics serialization. Users with monitoring privileges can access unredacted search query text from other users' operations due to an improper conditional check in the serialization logic. This issue allows potential exposure of sensitive query literals through the query statistics interface. MongoDB administrators and security teams should assess exposure and take necessary actions to restrict access and update to a fixed version.
- Vendor
- MongoDB
- Product
- MongoDB Server
- CVSS
- MEDIUM 5.1
- 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 Server administrators, security teams, and users with monitoring privileges should assess exposure and take necessary actions to restrict access to query statistics and update to a fixed version.
Why it matters
CVE-2026-82069 is a medium-severity vulnerability in MongoDB Server's query statistics serialization. Users with monitoring privileges can access unredacted search query text from other users' operations. MongoDB administrators and security teams should assess exposure and take necessary actions to restrict access and update to a fixed version.
- Potential exposure of sensitive query literals through query statistics interface
- Bypass of data redaction mechanism for search queries through sharded cluster router
- Access to unredacted search query text from other users' operations for users with monitoring privileges
- Requires verification of affected versions and remediation from official sources
Technical summary
A security issue in MongoDB Server's query statistics serialization on the router allows users with monitoring privileges to access unredacted search query text from other users' operations. An improper conditional check in the serialization logic causes the data redaction mechanism to be bypassed when processing search queries through the sharded cluster router. This results in sensitive query literals being stored and made accessible through the query statistics interface. The vulnerability has a medium severity and requires verification of affected versions and remediation from official sources.
Defensive priority
Medium priority for MongoDB administrators and security teams
Recommended defensive actions
- Review and update MongoDB Server to version 8.3.9 or later
- Restrict monitoring privileges to only necessary personnel
- Monitor query statistics interface for sensitive query literals
- Verify affected versions and remediation from official sources
- 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 a medium-severity issue in MongoDB Server's query statistics serialization. Users with monitoring privileges can access unredacted search query text from other users' operations due to an improper conditional check in the serialization logic.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-82069 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-82069
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-82069 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-82069
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://jira.mongodb.org/browse/SERVER-132835
[email protected] - Vendor Advisory, Issue Tracking
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.