Base de CVEs

Improper neutralization of special elements in data query logic in the polymorphic relation handling of the MongoDB integration for Laravel can cause a caller-supplied relation identifier to be interpreted as a query condition rather than as a literal identifier. An authenticated user who can influence a stored relation identifier may cause an affected application to return a document other than the intended relation target.

Improper neutralization of regular-expression metacharacters in the LINQ query translation component of the MongoDB C# Driver can cause a caller-supplied character sequence to alter a regular-expression predicate generated by an affected application. An authenticated user who can influence such a value may cause the application to return records beyond those intended by the original filter.

In MongoDB, insufficient validation of shard key values during document insertion allowed authenticated users to store documents with specially crafted, operator-shaped objects as shard key values in sharded collections. When change stream events for such documents were processed with the updateLookup full document mode, the crafted values were embedded into internal post-image lookup queries without proper sanitization, causing them to be interpreted as query operators rather than literal equality values. This could result in change stream consumers receiving incorrect post-image documents or encountering non-resumable fatal errors.

n8n before 2.35.4 and 2.36.x before 2.36.2 contain a query injection vulnerability in the Elasticsearch Document Get All and Google Cloud Firestore Document Query operations, which build their JSON query by interpolating expression values directly into the query string before parsing. A value containing quote and brace characters can close the intended field and introduce new query operators, turning an intended single-document lookup into a full-collection read.

Improper Neutralization of Special Elements in Data Query Logic (CWE-943) in Kibana can lead to information disclosure via NoSQL Injection (CAPEC-676). An authenticated user with access to the affected query functionality could submit specially crafted input that alters the intended query logic, returning data the user is not authorized to read.

FastGPT Community Edition 4.10.0 through 4.14.0 are vulnerable to a NoSQL injection in the POST /api/core/chat/getHistories endpoint. An unauthenticated attacker can inject malicious NoSQL operators via crafted JSON payloads to bypass authorization checks, resulting in unauthorized access to chat history titles of all users across the platform.

A MongoDB C# driver document-replacement code path omits the element-name/shape validation that the equivalent write paths apply, so a value supplied as a replacement is forwarded to the server without neutralization of query-language special elements. An application that passes untrusted, loosely-typed input as a replacement value therefore allows that input to be interpreted by the database as update logic rather than as data, executing under the application's own database credentials. Applications using strongly-typed document mappings are not affected.

A NoSQL/expression injection weakness exists in the LINQ-to-aggregation query translation layer of the MongoDB C# Driver, in both aggregation expression and query filter translation. When application-supplied values are embedded in certain query constructs, special elements contained within those values are not properly escaped before the resulting query is transmitted to the database, so portions of the value may be interpreted by the database as query logic rather than as data. A user able to supply values that an application incorporates into an affected query may thereby cause unintended data to be returned or query results to be altered.

RedisChatMemoryRepository.findByMetadata() builds RediSearch tag and text queries from caller-supplied metadata values without applying RediSearchUtil.escape(), unlike get(), clear(), and findByTimeRange() in the same class which do escape their inputs. An application that passes user-controlled values to findByMetadata() on a tag-typed metadata field allows an attacker to inject RediSearch syntax (e.g. x} | *) that breaks out of the tag clause and matches all indexed chat messages across every conversation in the index. Spring AI 2.0.0

The extension passes the user-supplied search query parameter to Apache Solr without restricting advanced Solr query syntax such as wildcards, field selectors and range queries. A remote, unauthenticated attacker can use this syntax to enumerate indexed field names and extract their stored values through boolean- and range-based blind extraction techniques, independent of any site-specific configuration.

The extension allows a request-provided additionalFilters parameter to register a named siteHash filter before the system's own siteHash filter is applied, and the query builder does not overwrite an already-registered named filter. In a shared Solr core serving multiple TYPO3 sites, a visitor can use this to read public documents belonging to another site. The same root cause also affects the suggest top-results path when suggest is enabled.

In Splunk SOAR versions below 8.6.0, a user who holds the "Automation Engineer" role could run arbitrary Structured Query Language (SQL) statements against the Splunk SOAR database and create, read, update, or delete all data in the database. The vulnerability is possible because Splunk SOAR playbook automation data APIs incorporate user-supplied input into database queries without proper neutralization. For more information see Manage roles and permissions in Splunk SOAR Cloud (https://help.splunk.com/en/splunk-soar/soar-cloud/administer-soar-cloud/manage-your-splunk-soar-cloud-users-and-accounts/manage-roles-and-permissions-in-splunk-soar-cloud) in the Splunk documentation.

In Splunk Enterprise versions below 10.2.6, 10.0.9, and 9.4.14, an unauthenticated user could trick an authenticated user into running arbitrary Search Processing Language (SPL) commands using the permissions of the authenticated user through a crafted Splunk Web link. The SPL commands could access all relevant data. The vulnerability does not affect Splunk Enterprise 10.4 versions and above. The vulnerability is possible because Splunk Web substitutes form token values supplied through the Uniform Resource Locator (URL) into SPL searches without neutralizing them. The vulnerability requires the attacker to phish the user by tricking them into opening the crafted link. The unauthenticated user should not be able to exploit the vulnerability at will. For more information see Token reference (https://help.splunk.com/en/splunk-enterprise/create-dashboards-and-reports/simple-xml-dashboards/10.2/simple-xml-reference/token-reference) in the Splunk documentation.