When compute mode is enabled on a standalone mongod instance, insufficient validation of externally sourced BSON data during aggregation pipeline processing can result in memory corruption, potentially leading to process termination or other unintended behavior. This configuration is non-default and requires explicit enablement at startup.
An issue in MongoDB Server's time-series collection implementation allows an authenticated user with database write privileges to trigger an out-of-bounds memory write in the mongod process. The issue results from an inconsistency in the internal field-name-to-index mapping within the time-series bucket catalog. Under certain conditions this can result in arbitrary code execution.
This issue impacts MongoDB Server v5.0 versions prior to 5.0.33, v6.0 versions prior to 6.0.28, v7.0 versions prior to 7.0.34, v8.0 versions prior to 8.0.23, v8.2 versions prior to 8.2.9 and v8.3 versions prior to 8.3.2.
A vulnerability in MongoDB Server's BSON validation logic allows an unauthenticated user to crash the mongod process by sending a specially crafted message. The BSON validator's handling of certain nested binary data structures permits uncontrolled mutual recursion between validation functions, where each re-entry resets internal depth tracking.
A use-after-free vulnerability exists in MongoDB Server's server-side JavaScript engine when converting BSON documents to JavaScript arrays. An authenticated user with read privileges who is able to run server-side JavaScript (for example, via $where or $function) can cause the server to access memory that has already been freed. This may result in disclosure of information from the mongod process memory or a denial of service through a server crash.
An authenticated user with low privileges may be able to perform unauthorized reads and writes on data protected by role-based query-level access controls, due to insufficient validation of certain client-supplied command parameters. The issue affects find, update, delete, and aggregate commands in non-apiStrict configurations.
When OIDC authentication is enabled in configuration, clients may set specific values in the "mechanism" parameter of the "authenticate" command that lead to server crash. The authenticate command is accessible to unauthenticated clients, leading to pre-auth denial-of-service in affected product configurations.
After invoking $internalJsEmit, which is not intended to be directly accessible, or mapreduce command’s map function in a certain way, an authenticated user can subsequently crash mongod when the server-side JavaScript engine (through $where, $function, mapreduce reduce stage, etc.) is used also in a specific way, resulting in a post-authentication denial-of-service.
This issue impacts MongoDB Server v8.2 versions prior to 8.2.9 and v8.3 versions prior to 8.3.2.
The $internalApplyOplogUpdate aggregation pipeline stage can be used to execute a document diff containing a malformed binary diff to return memory out-of-bounds or crash the server. $internalApplyOplogUpdate can be executed by any authenticated user with access to the aggregate command.
When PROXY protocol v2 is used on the Unix domain socket path, roles derived from X.509 client certificates may not be validated against the configured tlsCATrusts allow-list. This can result in unintended role assignments following MONGODB-X509 authentication. Affected scenarios require local access to the proxy Unix domain socket and a valid X.509 certificate issued by a trusted certificate authority.
An authenticated user can cause excess memory usage via bitwise match expression AST processing of $bitsAllSet, $bitsAnySet, $bitsAllClear, and $bitsAnyClear. This contributes to memory pressure and may lead to availability loss by OOM.
This issue impacts MongoDB Server v7.0 versions prior to 7.0.34, v8.0 versions prior to 8.0.23, v8.2 versions prior to 8.2.9 and v8.3 versions prior to 8.3.2.
A bug in query analysis processing of the $vectorSearch aggregation stage for Queryable Encryption (QE) or Client-Side Field Level Encryption (CSFLE) results in literal values for encrypted fields within the $vectorSearch stage filter expressions to be sent to the server as plaintext instead of ciphertext.
The $internalConvertBucketIndexStats stage used PauseExecution as a way to signal "skip this document" when an index stats conversion failed. But PauseExecution is not a general purpose skip mechanism, but rather a TeeBuffer-internal signal used solely by $facet to coordinate its sub-pipelines. When this stage is placed before $facet in a pipeline, TeeBuffer receives the unexpected PauseExecution from upstream and hits a hard invariant assertion, crashing mongod.
Adding fromRouter:true and runtimeConstants.userRoles could cause aggregations to crash mongodb server.
When using $changestreams and $requestReshardingResumeToken with the exchange option the server hits an invariant which causes the server to crash. There are no special privileges needed. The user must be logged in to issue the statement.
This issue can occur when running an aggregation pipeline that uses the internal $exchange stage configured with key-range partitioning and order-preserving delivery. If a single key range produces enough documents to fill its exchange buffer (that is, many results are routed to the same consumer), the server reaches the code path where a full per-consumer buffer is detected but the internal "high watermark" for that key range is not updated as intended.
An authorized user could trigger a server crash by running a query with a 2dsphere index on a field that stores a GeoJSON GeometryCollection containing a Polygon with a strict-winding CRS.
Strict-winding polygons are intentionally unsupported for indexing, but the guard that rejects them does not inspect members of a GeometryCollection, allowing the unsafe path to be reached which ends with an ensuing null-pointer dereference.
An authenticated user with the read role may read limited amounts of uninitialized stack memory via specially-crafted issuances of the filemd5 command
An authenticated user can cause a MongoDB server to crash or return incorrect results by creating documents that interfere with internal metadata processing during query execution. This stems from insufficient separation between user-controlled document fields and internal metadata in certain execution paths.
An authenticated user with basic write privileges can cause the mongod process to terminate abnormally by sending a crafted transaction command with an incomplete set of required fields. The issue stems from inconsistent validation across related transaction command parameters, resulting in a fatal internal invariant failure and denial of service.
Using expressions that generate large arrays it is possible to craft a query that creates very large intermediate objects in memory, causing the server to crash with OOM error.
The $internalIndexKey aggregation expression can be used by any authenticated user to crash a MongoDB server (mongod). The expression fails to handle compound wildcard index specifications, triggering an internal consistency check that aborts the server process. The user must be able to run an aggregation pipeline.
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.
Improper handling of DBPointer objects during BSON serialization in MongoDB's server-side JavaScript engine can result in internal process memory contents being included in data returned to the client. This constitutes an unintended information disclosure affecting deployments that use server-side JavaScript.
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 can cause excessive CPU consumption or out-of-memory conditions on a MongoDB server by sending a crafted Queryable Encryption find payload containing an unvalidated field used to control an internal computation loop. The resulting resource exhaustion degrades availability for other operations.
A user with read-only privileges is able to craft an aggregation pipeline using the $linearFill window function operator with a specific sortBy expression type to cause the mongod process to terminate abnormally, resulting in denial of service. The issue stems from insufficient validation of sort specifications during execution.
A missing bounds check in the BSON CodeWScope element accessors allows an attacker to trigger an out-of-bounds heap read via a crafted aggregation pipeline. The vulnerability can be exploited by an authenticated user by generating a malformed BSONColumn data containing a CodeWScope element, bypassing wire-level BSON validation. When the forged element is decompressed, the unchecked size value is used in pointer arithmetic, causing either a server crash or disclosure of adjacent heap memory contents.
An authenticated user with read access can cause the mongod process to be terminated through certain aggregation expressions that execute server-side JavaScript. The issue involves improper memory handling during document processing.
An authenticated user can cause the mongod process to be terminated by the operating system under memory pressure via the $rankFusion and $scoreFusion aggregation stages. The issue originates in the server's error-handling path and requires the ability to run aggregation queries.
An authenticated user can cause a {{mongod}} process to be terminated by the operating system under memory pressure by performing a specific data type conversion operation within MongoDB's aggregation framework. The behavior stems from disproportionate memory consumption during this operation, and requires both write access to the database and the ability to run aggregation queries.