PatchSiren cyber security CVE debrief
CVE-2026-18694 MongoDB CVE debrief
An authenticated user with write privileges could cause certain malformed geometry data to be stored and later processed without proper validation in MongoDB Server's geospatial query processing, potentially resulting in a server crash (denial of service) and limited exposure of server process memory. This issue could allow an attacker to cause a denial of service and potentially expose a limited amount of server process memory. The vulnerability has a high CVSS score of 7.1, indicating a high severity level. Defenders should verify the affected scope, severity, and vendor guidance. Affected product deployments need to be identified and verified for potential exposure.
- Vendor
- MongoDB
- Product
- MongoDB Server
- CVSS
- HIGH 7.1
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-11
- Original CVE updated
- 2026-08-28
- Advisory published
- 2026-08-11
- Advisory updated
- 2026-08-28
Who should care
Administrators and users of MongoDB Server, especially those with write privileges, should be aware of this vulnerability and take necessary precautions to prevent exploitation. Affected operators, platforms, and security teams need to review the vulnerability and implement necessary controls to prevent potential attacks. Vulnerability management and security teams should prioritize patching and mitigation efforts.
Technical summary
An issue in MongoDB Server's geospatial query processing could allow an authenticated user with write privileges to cause certain malformed geometry data to be stored and later processed without proper validation. Subsequent queries against this data could then result in the server accessing memory outside its intended bounds. This could result in a server crash (denial of service) and may expose a limited amount of server process memory. The vulnerability has a high CVSS score of 7.1, indicating a high severity level.
Defensive priority
High-priority defensive actions are required due to the high CVSS score of 7.1 and the potential for denial of service.
Recommended defensive actions
- Verify and apply vendor patches or updates to address the vulnerability
- Restrict write privileges to trusted users and monitor for suspicious activity
- Implement additional security controls to prevent and detect potential attacks
- 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
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The CVE record and NVD entry provide limited information about the vulnerability. Further investigation and verification are necessary to fully understand the issue. Affected product deployments need to be identified and verified for potential exposure. The geospatial query processing vulnerability in MongoDB Server could allow an authenticated user with write privileges to cause certain malformed geometry data to be stored and later processed without proper validation. This could result in a server crash (denial of service) and may expose a limited amount of server process memory. Defenders should verify the affected scope, severity, and vendor guidance.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-18694 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-18694
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-18694 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-18694
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-130188
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.