| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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 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. |
| 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. |
| A flaw in libmongoc's SCRAM authentication implementation caused the client to continue the authentication handshake and transmit the client proof even when a nonce mismatch was detected in the server's first message. An unauthorized party with a man-in-the-middle position could exploit this by injecting a crafted server-first-message containing a controlled salt and low iteration count, then capturing the resulting client proof to perform offline password cracking. This vulnerability is mitigated by TLS, which is standard in production deployments. |
| 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. |
| 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. |
| A missing lower-bound validation in the bson_new_from_buffer() function of libbson allows an integer underflow when processing BSON data with a zero-length prefix. The function reads a 32-bit document length from the input buffer but does not verify that the value is at least 5 (the minimum valid BSON document size) before using it in an array index calculation. When the length field is zero, the expression used to check the document's null terminator wraps to UINT32_MAX, causing a heap out-of-bounds read that crashes the process. An unauthorized party who can supply crafted BSON input to an application using this API can cause a denial of service. |
| 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. |
| An unauthorized user with key vault write access may cause an authorized client to issue arbitrary authenticated Google Cloud KMS API calls under the authorized user's identity, escalating database-level access into cloud key control and defeating client-side encryption. |
| A missing input-validation issue in MongoDB libmongocrypt's automatic-encryption context setup allows a caller-supplied database identifier to be accepted without sanitization. The resulting impact is limited to incorrect schema selection, which may lead to limited disclosure or modification of information handled by the application. |
| Improper handling of an unexpected value size in the decryption path of a client-side encryption library can cause a failed internal check that terminates the process using the library. A party able to place a suitably formed encrypted value where an application will decrypt it, or able to control the responses the application receives, may cause that application to stop running. |
| A specific version of the Node.js mongodb-client-encryption module does not perform correct validation of the KMS server’s certificate. This vulnerability in combination with a privileged network position active MITM attack could result in interception of traffic between the Node.js driver and the KMS service rendering client-side field level encryption (CSFLE) ineffective. This issue was discovered during internal testing and affects mongodb-client-encryption module version 1.2.0, which was available from 2021-Jan-29 and deprecated in the NPM Registry on 2021-Feb-04. This vulnerability does not impact driver traffic payloads with CSFLE-supported key services from applications residing inside the AWS, GCP, and Azure nework fabrics due to compensating controls in these environments. This issue does not impact driver workloads that don’t use Field Level Encryption. This issue affect MongoDB Node.js Driver mongodb-client-encryption module version 1.2.0 |
| The $regexFindAll expression can be used by an authenticated user who can run aggregation pipeline stages to crash a MongoDB server (mongod). Under certain specific conditions the regex match can start in the middle of a multi-code-unit character, triggering an assertion during query execution. |
| A security issue exists in MongoDB's LDAP authorization integration where pooled LDAP connections can retain stale authentication identities after user authentication under certain configurations. Subsequent authorization queries may execute under an unintended LDAP identity rather than the expected one. This can result in incorrect role assignments based on the LDAP directory's access control configuration, potentially allowing an authenticated user to acquire elevated privileges that were not intended by the deployment's authorization policy. |
