Mongodb: >> Mongoid >> 9.0.11 Security Vulnerabilities
Mongoid contains an unsafe reflection weakness in the query path used for embedded documents. An application that passes an externally supplied field name to certain in-memory query methods may allow an unauthenticated party to obtain unintended disclosure of stored document data and to permanently remove stored records.
CVSS Score
9.2
EPSS Score
0.006
Published
2026-09-18
A protection mechanism failure in the object-document mapper's encryption configuration generation can cause fields that an application declared for client-side field-level encryption to be written and kept in cleartext, without any error or warning. A party holding ordinary read access to the database can then read values that were intended to be protected from that party. This may result in unintended disclosure of sensitive information.
CVSS Score
7.1
EPSS Score
0.002
Published
2026-09-18
Mongoid may omit encryption rules for fields declared on embedded models when generating the client-side field-level encryption schema. Applications that enable this feature can therefore store values intended to be encrypted in readable form, with no error or warning. A party with routine read access to the database, a backup, or the underlying data files may then see data that was meant to remain unreadable outside the application.
CVSS Score
7.1
EPSS Score
0.002
Published
2026-09-18
Mongoid does not neutralize a string-typed query criterion supplied to its query builder, and instead passes it to the database as a server-side JavaScript expression. An unauthenticated party able to influence the value an application supplies as a query argument may cause code of their choosing to be evaluated by the database engine. This may result in unintended disclosure of stored field values, unintended selection of documents for application-initiated writes, and reduced database performance.
CVSS Score
8.8
EPSS Score
0.004
Published
2026-09-18
Mongoid does not restrict which query operators may come from caller-supplied filter data when an application hands that data to its query-building methods. In an application that forwards externally supplied filter parameters in this way, a party with no credentials may influence how the database evaluates the query. This may result in unintended disclosure of stored field values and in reduced database performance.
CVSS Score
8.3
EPSS Score
0.005
Published
2026-09-18
An inefficient regular expression complexity issue in the in-memory query evaluation component of the Mongoid library may allow an unauthenticated party to cause excessive processing within an embedding application process. Applications that place user-supplied text into a pattern-matching query condition on an embedded association may become unresponsive.
CVSS Score
8.7
EPSS Score
0.005
Published
2026-09-18