CVE-2026-88034: CWE-943: Improper Neutralization of Special Elements in Data Query Logic in MongoDB C++ Driver
Improper neutralization of special elements in data query logic in the GridFS component of the MongoDB C++ Driver can cause a caller-supplied structured file identifier to be interpreted as a query condition rather than as a literal identifier. An authenticated user who can influence the identifier passed by an affected application may obtain stored file content beyond the intended target or cause all GridFS file chunks in the affected bucket to be removed, rendering stored file content unreadable.
AI Analysis
Technical Summary
This vulnerability arises from improper neutralization of special elements in data query logic within the GridFS component of the MongoDB C++ Driver. Specifically, a caller-supplied structured file identifier is interpreted as a query condition rather than a literal identifier. An authenticated user who can influence the identifier passed by an affected application may exploit this to access unauthorized stored file content or cause deletion of all GridFS file chunks in the bucket, impacting data integrity and confidentiality. The affected versions are from 3.2.0 up to but not including 4.5.3.
Potential Impact
An authenticated user with limited privileges can exploit this vulnerability to read stored file content beyond their intended access or delete all GridFS file chunks in the affected bucket. This compromises data confidentiality and availability by allowing unauthorized data access and potential data loss.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, applications should carefully validate and sanitize any user-supplied identifiers used in GridFS queries to prevent interpretation as query conditions. Restricting user privileges and monitoring application behavior may help reduce risk.
CVE-2026-88034: CWE-943: Improper Neutralization of Special Elements in Data Query Logic in MongoDB C++ Driver
Description
Improper neutralization of special elements in data query logic in the GridFS component of the MongoDB C++ Driver can cause a caller-supplied structured file identifier to be interpreted as a query condition rather than as a literal identifier. An authenticated user who can influence the identifier passed by an affected application may obtain stored file content beyond the intended target or cause all GridFS file chunks in the affected bucket to be removed, rendering stored file content unreadable.
CVSS v4.0
Score 6.1medium
Affected software
MongoDB
C++ Driver
pkg:github/mongodb/mongo-cxx-driverRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability arises from improper neutralization of special elements in data query logic within the GridFS component of the MongoDB C++ Driver. Specifically, a caller-supplied structured file identifier is interpreted as a query condition rather than a literal identifier. An authenticated user who can influence the identifier passed by an affected application may exploit this to access unauthorized stored file content or cause deletion of all GridFS file chunks in the bucket, impacting data integrity and confidentiality. The affected versions are from 3.2.0 up to but not including 4.5.3.
Potential Impact
An authenticated user with limited privileges can exploit this vulnerability to read stored file content beyond their intended access or delete all GridFS file chunks in the affected bucket. This compromises data confidentiality and availability by allowing unauthorized data access and potential data loss.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, applications should carefully validate and sanitize any user-supplied identifiers used in GridFS queries to prevent interpretation as query conditions. Restricting user privileges and monitoring application behavior may help reduce risk.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mongodb
- Date Reserved
- 2026-09-09T19:49:52.213Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6aa2f93ef625eac0738ac38f
Added to database: 09/10/2026, 18:38:54 UTC
Last enriched: 09/10/2026, 18:45:23 UTC
Last updated: 09/10/2026, 19:11:29 UTC
Views: 6
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.