| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Improper Neutralization of Special Elements in Data Query Logic vulnerability in ash-project ash_sql allows a user who supplies a search term to contains/2, string_starts_with/2, or string_ends_with/2 to inject live SQL LIKE wildcards, turning a literal substring search into an attacker-controlled pattern match.
The escape helpers in AshSql.Expr prefix % and _ with a backslash but never escape a backslash already present in the input. Because backslash is the default LIKE escape character, the escaping defeats itself: the input \% becomes the pattern fragment \\%, where \\ is a literal backslash and the attacker's % remains a live wildcard. The search value stays parameterized, so this is confined to the LIKE pattern grammar rather than full SQL. An attacker can widen matches to probe values, slip past a negated contains(...) guard, or crash the query with a trailing lone backslash.
This issue affects ash_sql: from 0.1.1-rc.10 before 0.7.1. |
| Improper Neutralization of Special Elements in Data Query Logic vulnerability in ash-project ash_sqlite allows an attacker who controls a get_path/2 segment to traverse into nested JSON the application never exposed, disclosing private or sensitive? embedded fields.
AshSqlite.SqlImplementation builds the SQLite json_extract path with "$." <> Enum.join(right, "."), so a single segment containing ., [, ], or $ re-interprets the JSON path (for example "private.secret" descends two levels instead of naming one key). The path is bound as a parameter, so this is confined to the JSON-path grammar rather than SQL. Any endpoint that lets user input reach a get_path segment (a common pick-a-field pattern) can read nested values it never meant to expose.
This issue affects ash_sqlite: from 0.1.2-rc.0 before 0.2.18. |
| 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. |
| The MongoDB client library for PHP does not sufficiently sanitize special elements in application-supplied namespace identifiers before using them to construct the target namespace for database operations. An application that incorporates untrusted text into these identifiers may have operations silently directed at a different storage location than the one the application intended. |
| 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. |
| 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. |
| In Splunk Enterprise versions below 10.4.2, 10.2.6, 10.0.9, and 9.4.14, a user who does not hold the "admin" or "power" Splunk roles could inject Search Processing Language (SPL) into saved-search dispatch requests. This could allow for unauthorized access to all relevant data and affect system integrity within Splunk Enterprise. The vulnerability is possible because Splunk Enterprise does not correctly validate caller-supplied time values before using them in saved-search dispatch. For more information see Search endpoint descriptions (https://help.splunk.com/en/splunk-enterprise/rest-api-reference/10.2/search-endpoints/search-endpoint-descriptions) in the Splunk documentation. |
| In Splunk Enterprise versions below 10.4.1, 10.2.5, 10.0.9, and 9.4.14, an unauthenticated user who can reach the Splunk management port could store a Search Processing Language (SPL) pipeline that runs when an administrator opens the Add Data forwarder workflow. The SPL pipeline could access all relevant data, affect system integrity, and affect availability of the Splunk platform instance. The SPL injection is possible because Deployment Server client identifiers are placed into dispatched searches without neutralizing special characters. Successful exploitation requires an administrator to open the affected Add Data forwarder workflow after the unauthenticated user registers a crafted Deployment Server client identity. For more information see Forward data (https://help.splunk.com/en/splunk-enterprise/get-started/get-data-in/10.2/how-to-get-data-into-your-splunk-deployment/forward-data) and About agent management (https://help.splunk.com/en/splunk-enterprise/administer/update-your-deployment/10.4/agent-management/about-agent-management) in the Splunk documentation. |
| In Splunk Enterprise versions below 10.4.2, 10.2.6, 10.0.9, 9.4.14, and 9.3.14, an unauthenticated user could cause another user to dispatch arbitrary Search Processing Language (SPL) pipelines from Dataset Explorer with the same privileges as that user, which can allow for access to all relevant data and system integrity available to that user and affect system availability. The vulnerability is possible because Dataset Explorer does not validate or escape dataset names before building SPL searches and does not apply SPL safeguards for risky commands to those searches. 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 Explore a dataset (https://help.splunk.com/en/splunk-enterprise/manage-knowledge-objects/knowledge-management-manual/10.4/manage-and-explore-datasets/explore-a-dataset) and SPL safeguards for risky commands (https://help.splunk.com/en/splunk-enterprise/administer/manage-users-and-security/10.4/best-practices-for-splunk-platform-security/spl-safeguards-for-risky-commands) in the Splunk documentation. |
| In Splunk Enterprise versions below 10.4.2, 10.2.6, 10.0.9, and 9.4.14, an unauthenticated user could trick a user who holds the "admin" Splunk role into opening a crafted link to Monitoring Console. When that user opens the link, Splunk Enterprise runs attacker-controlled Search Processing Language (SPL) using the permissions of that user. The injected SPL could expose data available to that user or modify lookup data. The vulnerability is possible because Monitoring Console does not sufficiently validate data used to build dashboard searches. 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. |
| In Splunk Enterprise versions below 10.4.2, 10.2.6, 10.0.9, and 9.4.14, and Splunk Secure Gateway versions below 3.10.9, 3.9.23, and 3.8.70, an unauthenticated user could trick a user who holds the "admin" or "sc_admin" Splunk roles into opening a crafted Splunk Web Uniform Resource Locator (URL). The resulting dashboard searches could run arbitrary Search Processing Language (SPL) commands with the permissions available to the affected user. The commands could expose all relevant data available to that user and affect search results or lookup data. The vulnerability is possible because Splunk Secure Gateway dashboards do not correctly neutralize caller-supplied values before using them in dashboard searches. The vulnerability requires the attacker to phish the affected user by tricking them into initiating a request within their browser. The unauthenticated user should not be able to exploit the vulnerability at will. |
| In Splunk Enterprise versions below 10.4.2, 10.2.6, 10.0.9, and 9.4.14, an unauthenticated user could cause an authenticated user to run arbitrary Search Processing Language (SPL) searches on their behalf through the Event Type Builder. This could expose all relevant data and stored credentials. The vulnerability is possible when the Event Type Builder accepts cross-site request input and retains SPL-affecting values while building sample event searches. The vulnerability requires the attacker to phish the affected user by tricking them into initiating a request within their browser. The unauthenticated user should not be able to exploit the vulnerability at will. For more information see Automatically find and build event types (https://help.splunk.com/en/splunk-enterprise/manage-knowledge-objects/knowledge-management-manual/9.0/event-types/automatically-find-and-build-event-types) 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. |
| 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. |
| n8n before 1.123.69, 2.33.4, and 2.34.1 contains a NoSQL injection vulnerability in the MongoDB node's Find, Delete, and Aggregate operations, which parse the Query parameter as JSON after expression resolution without sanitizing MongoDB operators. An attacker who can influence the resolved query (e.g., via externally-controlled data) can inject operators such as $ne or $where, turning an intended single-document lookup into full-collection disclosure, full-collection deletion, or other operations on the database server. |
| Budibase before 3.40.0 contains a NoSQL injection vulnerability in the MongoDB datasource integration where user-supplied parameters are enriched with handlebars using noEscaping: true and parsed without operator filtering. Attackers can inject MongoDB operators through query parameters to bypass per-user access controls, read arbitrary documents, execute JavaScript via $where operators, or modify collections through update and delete operations. |
| Budibase Server before 3.40.0 contains a NoSQL injection vulnerability in the MongoDB query execution endpoint where user-supplied parameters are interpolated into JSON query templates without proper sanitization of JSON metacharacters. Attackers with query write permission can inject JSON structural characters to alter MongoDB queries, bypassing filters to read, modify, or delete arbitrary documents. |
| AhnLab EPP Management v1.0.14.32-6249 was discovered to contain a NoSQL injection vulnerability via the eventlog/agentEvent/list endpoint. |
