| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| Applications built on MongoDB Entity Framework Core Provider which combine independent encryption settings and this provider's encryption settings may silently lose TLS and schema-map settings leading to protected fields being stored unencrypted in the database. |
| If logging mode is set to DEBUG or a malformed MongoDB connection string is used, application logs may collect sensitive information (if in use) such as passwords and AWS secure access keys. |
| Applications built on MongoDB Entity Framework Core Provider which place a database name in the connection string may inadvertently disable field level encryption. |
| An unauthenticated client that can reach a MongoDB Connector for BI deployment configured with Kerberos authentication may cause mongosqld to terminate when a crafted authentication exchange encounters a specific GSSAPI error-handling condition. This can interrupt BI Connector availability until the process restarts. |
| In MongoDB Connector for BI, mongodrdl may write a TLS private-key password to standard error when the password is supplied through both the connection URI and the corresponding command-line option. A local user with access to the captured command output and encrypted key file may use the disclosed password to access the associated TLS client key. |
| An incorrect numeric conversion in the JSON parsing component of the MongoDB C Driver's BSON library may cause an unusually large text value to be silently shortened, or the corresponding field to be omitted, while the parsing operation still reports success and returns no error. An unauthenticated party who can supply the input processed by an application that uses this component may cause that application to hold data that does not match what was submitted, which may result in unintended alteration of data. |
| A double free in the OpenSSL-based TLS certificate revocation checking path of the MongoDB C Driver can be reached by a TLS endpoint that the client already trusts. During the handshake, specially formed certificate data can cause the same heap object to be released twice. An unauthenticated party acting as the trusted endpoint may cause the connecting client application to terminate unexpectedly. |
| An integer wraparound in an allocation size calculation in the BSON library's JSON parsing code can cause a buffer to be released while a following copy operation still writes through the stale pointer. On builds where sizes are 32 bits, an unauthenticated party able to supply a sufficiently large JSON input to an application that links the library may cause that application to terminate unexpectedly, resulting in denial of service. |
| An incorrect numeric type conversion in the BSON document building component of the MongoDB C++ Driver may cause a length value to be interpreted incorrectly. When an application supplies an extremely large, non-terminated field name to the builder, the library may read memory outside the intended buffer and terminate the calling process. No authentication is required, but the calling application must pass the oversized name in a specific form. |
| A heap-based buffer overflow exists in the TLS transport layer of the MongoDB C Driver when built with the Windows platform TLS backend. A remote endpoint that the client connects to can cause the driver to write uncontrolled data outside the bounds of a heap allocation while processing incoming encrypted traffic after the TLS handshake completes. No authentication or user interaction is required, because the affected processing occurs before any application-level authentication completes. Triggering this issue may lead to memory corruption in the client process, disclosure of adjacent heap memory, or termination of the process. |
| An authenticated user with write privileges on a Queryable Encryption-enabled collection may be able to modify internal encryption metadata fields that are intended to be server-controlled, by sending crafted write commands through the mongos router on a sharded cluster. This can result in corruption of encrypted query correctness. |
| An authenticated user with limited read privileges may be able to access documents from collections they are not authorized to read, due to an inconsistency in how the $graphLookup aggregation stage is evaluated during authorization and during execution. Affected scenarios involve collections referenced within existing view pipeline definitions. |
| The MongoSQL Transition Readiness Tool writes database and collection names into its generated CSV reports without neutralizing leading characters that spreadsheet applications treat as formulas. A user with write privileges on the cluster can choose a namespace name that is later evaluated as a formula when an operator opens the generated report in a spreadsheet application, which may result in unintended disclosure of report contents or execution of external content on the operator's workstation. Generating a report for the affected namespace and opening it in a spreadsheet application is required. |
| The MongoSQL Transition Readiness Tool writes query text and user names read from BI Connector log files into its generated HTML report without encoding them for that output context. A user able to issue queries through the BI Connector can influence log content so that markup supplied in a query is interpreted by the browser when an operator later generates and opens the report, which may disclose other users' logged query text and user names to an external party or present misleading content to the operator. Generating a report over logs containing the affected entries and opening that report in a browser is required. |
| MongoSQL Transition Readiness Tool does not sufficiently encode database metadata before including it in generated HTML. A MongoDB user with write access can introduce crafted metadata that may cause script code to run when another user generates and opens the report, potentially exposing report contents or altering its display. |
