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    CVE-2026-93765

    Mongoid contains an unsafe reflection weakness in the document persistence layer of its object-document mapping code. Input whose keys are passed through from an unauthenticated party by an embedding application can cause unintended internal method invocation instead of the intended array field update. This may result in unintended removal of stored records and in the embedding application becoming unresponsive.

    Published:Sep 18, 2026
    Last Modified:Sep 25, 2026
    EPS:Sep 18, 2026
    EPSS Score:0.00511
    CVSS Score:9.1

    Affected Products

    Vendor
    Mongodb
    Product
    Mongoid

    Exploits

    No exploit reference

    Common Attack Pattern Enumeration and Classification (CAPEC)

    CAPEC-138 Reflection Injection

    Related CVEs

    CVE-2026-93759 (CVSS 8.8) — Mongoid does not neutralize a string-typed query criterion supplied to its query builder, and instead passes i…
    CVE-2026-93760 (CVSS 8.3) — Mongoid does not restrict which query operators may come from caller-supplied filter data when an application …
    CVE-2026-93761 (CVSS 8.7) — An inefficient regular expression complexity issue in the in-memory query evaluation component of the Mongoid …
    CVE-2026-93762 (CVSS 9.2) — Mongoid contains an unsafe reflection weakness in the query path used for embedded documents. An application t…
    CVE-2026-93763 (CVSS 7.1) — A protection mechanism failure in the object-document mapper's encryption configuration generation can cause f…
    CVE-2026-93764 (CVSS 7.1) — Mongoid may omit encryption rules for fields declared on embedded models when generating the client-side field…
    CVE-2026-93758 (CVSS 8.6) — An insecure direct object reference in the nested attributes handling of the Mongoid object-document mapper ma…

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High