An issue in MongoDB Server's Atlas Vector Search feature could allow an authenticated user with read access to one view to retrieve documents from a… (CVE-2026-18705)
A vulnerability in MongoDB Server's Atlas Vector Search feature allows an authenticated user with read access to one view to access documents from another protected view on the same collection. This occurs due to improper handling of user-supplied fields when constructing internal requests for the search process. The issue has a CVSS score of 6.5, indicating a high severity impact on confidentiality without affecting integrity or availability.
AI Analysis
Technical Summary
CVE-2026-18705 describes a security flaw in the Atlas Vector Search feature of MongoDB Server. An authenticated user with read permissions on a single view can exploit insufficient validation of user-supplied fields to retrieve documents from a different, protected view that shares the same underlying collection. This vulnerability arises from the way internal requests are constructed and forwarded to the search process, leading to unauthorized data disclosure.
Potential Impact
The vulnerability allows unauthorized read access to data in protected views, compromising confidentiality. There is no impact on data integrity or availability. The attacker must be authenticated with read access to at least one view to exploit this issue.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. No official fix or patch links are provided at this time. Until a fix is available, restrict access to views carefully and monitor for unusual access patterns related to Atlas Vector Search.
An issue in MongoDB Server's Atlas Vector Search feature could allow an authenticated user with read access to one view to retrieve documents from a… (CVE-2026-18705)
Description
A vulnerability in MongoDB Server's Atlas Vector Search feature allows an authenticated user with read access to one view to access documents from another protected view on the same collection. This occurs due to improper handling of user-supplied fields when constructing internal requests for the search process. The issue has a CVSS score of 6.5, indicating a high severity impact on confidentiality without affecting integrity or availability.
CVSS v3.1
Score 6.5medium
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-18705 describes a security flaw in the Atlas Vector Search feature of MongoDB Server. An authenticated user with read permissions on a single view can exploit insufficient validation of user-supplied fields to retrieve documents from a different, protected view that shares the same underlying collection. This vulnerability arises from the way internal requests are constructed and forwarded to the search process, leading to unauthorized data disclosure.
Potential Impact
The vulnerability allows unauthorized read access to data in protected views, compromising confidentiality. There is no impact on data integrity or availability. The attacker must be authenticated with read access to at least one view to exploit this issue.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. No official fix or patch links are provided at this time. Until a fix is available, restrict access to views carefully and monitor for unusual access patterns related to Atlas Vector Search.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-f96f-54rq-c385
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-18705"]
- Ecosystems
- []
- Database Specific Severity
- HIGH
- Cvss Version
- 3.1
Threat ID: 6a7c9b71bf8831d539ce0555
Added to database: 08/12/2026, 16:12:33 UTC
Last enriched: 08/12/2026, 17:26:17 UTC
Last updated: 08/13/2026, 02:41:00 UTC
Views: 2
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