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CVE-2026-114648 MongoDB CVE debrief

The MongoDB C# Driver vulnerability allows an application user to redirect queries or updates to fields not intended by the application, potentially exposing other users' documents or widening updates beyond intended data. Certain values can also write malformed fields, making stored documents unreadable until repaired. This issue arises from the driver's failure to neutralize dot and dollar characters in dictionary keys, field names, and array-filter identifiers used in LINQ queries before placing them into field paths sent to the server. Defenders should assess exposure and prioritize verification and remediation efforts.

Vendor
MongoDB
Product
C# Driver
CVSS
HIGH 7.2
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-22
Original CVE updated
2026-11-02
Advisory published
2026-10-22
Advisory updated
2026-11-02

Who should care

Defenders and developers using the MongoDB C# Driver should assess exposure and prioritize verification and remediation efforts. This includes reviewing user input validation, monitoring for suspicious activity, and verifying MongoDB C# Driver versions. Additionally, security teams should be aware of the potential risks and take steps to mitigate them.

Why it matters

The vulnerability in MongoDB C# Driver allows an application user to manipulate queries and updates, potentially leading to unauthorized data exposure or modifications. Defenders should prioritize verifying and updating the driver, reviewing user input validation, and monitoring for suspicious activity.

  • Potential exposure of other users' documents
  • Possible widening of updates beyond intended data
  • Creation of malformed fields making documents unreadable
  • Need for verification of MongoDB C# Driver versions and user input validation

Technical summary

The MongoDB C# Driver does not neutralize dot and dollar characters in dictionary keys, field names, and array-filter identifiers used in LINQ queries before placing them into field paths sent to the server. This oversight allows an application user to manipulate queries and updates, potentially leading to unauthorized data exposure or modifications. The vulnerability affects the driver's handling of LINQ queries and can be exploited by an attacker to redirect queries or updates to fields not intended by the application.

Defensive priority

Defenders should prioritize verifying and updating MongoDB C# Driver versions, reviewing application user input validation, and monitoring for suspicious query or update activity.

Recommended defensive actions

  • Verify and update MongoDB C# Driver versions
  • Review application user input validation
  • Monitor for suspicious query or update activity
  • Perform a thorough review of application code for potential vulnerabilities
  • Implement additional logging and monitoring to detect potential attacks
  • Conduct a risk assessment to identify potential exposure
  • Develop a remediation plan to address identified vulnerabilities

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, but specific affected or fixed versions are not mentioned in the supplied corpus. The MongoDB C# Driver's handling of special characters in LINQ queries can lead to unintended data exposure or modifications. Defenders should verify MongoDB C# Driver versions, review user input validation, and monitor for suspicious activity. Evidence is limited, and further verification is required to determine the full scope of the vulnerability.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-114648 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-114648

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

  • CVE-2026-114648 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-114648

    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.