| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Rapid7 Bulk Export MCP versions 0.2.5 through 0.6.1 suffer from a GraphQL query injection issue in the export-status component (`get_export_status` in `src/export_manager.py`), whereby the `export_id` value — an unvalidated MCP tool argument reaching the function via the `check_rapid7_export_status` and `download_rapid7_export` tools — is interpolated directly into the GraphQL query string. A crafted `export_id` containing quote and brace characters can terminate the intended `export(id: "...")` selection early and append attacker-controlled root-level selections (for example, schema introspection), producing a single well-formed GraphQL document that is then sent to the Rapid7 export API under the operator's own API key.
Notably, this issue does not grant an existing actor any access they do not already have: every injected query executes within the operator's own already-authenticated API scope, using the operator's own valid API key, and cannot cross a tenant or account boundary. A directly-malicious operator gains nothing they could not already do by calling the API directly; the realistic exposure is limited to a compromised or careless upstream MCP client, or indirect prompt injection forwarding an unvalidated identifier. This is fixed in version 0.6.2, which passes `export_id` as a parameterized GraphQL variable (`$exportId: ID!`). |
| Improper neutralization of special elements in data query logic in the cache lock implementation of the MongoDB integration for Laravel can cause a caller-supplied lock owner value to be evaluated as an aggregation expression rather than as a literal value. An authenticated user who can influence the owner value an application uses when acquiring or restoring a lock may take over or prematurely expire a lock held by another process, which can lead to duplicated or conflicting operations. |
| Discourse is an open-source discussion platform. Prior to 2026.1.8, 2026.6.3, 2026.7.2, and 2026.8.0, authenticated users could supply unescaped SQL LIKE metacharacters to upload-resolution patterns, causing wildcard input to select unrelated upload records instead of matching a literal identifier. The affected upload metadata, URL-lookup, and cooked-video-placeholder paths could resolve uploads the user was not authorized to access. This allowed disclosure of restricted metadata, including original filenames and secure-upload paths, without modifying the upload records. This issue is fixed in versions 2026.1.8, 2026.6.3, 2026.7.2, and 2026.8.0. |
| 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 vulnerability in the SXP REST API of Cisco ISE could allow an authenticated, remote attacker to conduct SQL injection attacks.
This vulnerability is due to insufficient validation of user-supplied input in REST API calls. An attacker could exploit this vulnerability by sending crafted input to an affected device. A successful exploit could allow the attacker to view or modify data on the underlying database for the affected device. In single-node deployments, successful exploitation of this vulnerability could cause the affected ISE node to become unavailable, resulting in a DoS condition. In that condition, endpoints that have not already authenticated would be unable to access the network until the node is restored.
To exploit this vulnerability, the attacker must have valid administrative credentials, have the SXP service enabled, and have at least one SXP connection configured. |
| 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. |
| Improper neutralization of special elements in data query logic in the GridFS component of the MongoDB C Driver can cause a caller-supplied structured file identifier to be interpreted as a query condition rather than as a literal identifier. An authenticated user who can influence the identifier passed by an affected application may obtain stored file content beyond the intended target or cause all GridFS file chunks in the affected bucket to be removed, rendering stored file content unreadable. |
| Improper neutralization of special elements in data query logic in the GridFS component of the MongoDB C++ Driver can cause a caller-supplied structured file identifier to be interpreted as a query condition rather than as a literal identifier. An authenticated user who can influence the identifier passed by an affected application may obtain stored file content beyond the intended target or cause all GridFS file chunks in the affected bucket to be removed, rendering stored file content unreadable. |
| Improper neutralization of special elements in data query logic in the GridFS component of the MongoDB Java Driver can cause a caller-supplied structured file identifier to be interpreted as a query condition rather than as a literal identifier. An authenticated user who can influence the identifier passed by an affected application may obtain stored file content beyond the intended target or cause all GridFS file chunks in the affected bucket to be removed, rendering stored file content unreadable. The affected rename operation may also rename a stored file other than the intended target. |
| Flowise before 3.1.4 fails to sanitize the overrideConfig.sessionId parameter before using it in MongoDB queries within the MongoDBMemory node. Unauthenticated attackers can submit MongoDB operator objects through the prediction API to read chat history records belonging to other users from the shared collection. |
| LangChain MongoDB provides integrations between MongoDB, Atlas, LangChain, and LangGraph. Prior to langgraph-checkpoint-mongodb 0.3.0 and langgraph-store-mongodb 0.4.0, MongoDBSaver.list(), MongoDBSaver.alist(), and MongoDBStore.search() incorporate filter dictionaries into MongoDB queries without recursively rejecting keys prefixed with $. An authenticated caller who controls a filter argument through HTTP query parameters, request body fields, or agent tool arguments can inject MongoDB Query Language operators such as $regex or $where. In a multi-tenant deployment that uses the filter to enforce per-user or per-tenant isolation, injected operators can bypass intended equality filtering and expose other tenants' checkpoint or store data. Filters constructed entirely from trusted server-side values have lower practical risk. This issue is fixed in langgraph-checkpoint-mongodb 0.3.0 and langgraph-store-mongodb 0.4.0. |
| 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. |
| Spring Data Relational does not properly escape binding values of externally-controlled input when using StringMatcher (STARTING, ENDING, or CONTAINING) in Query By Example (QBE). An attacker can supply wildcard characters to perform boolean-based blind data inference.
Affected versions:
Spring Data Relational/JDBC/R2DBC 4.0.0 through 4.0.5; 3.5.0 through 3.5.11; 3.4.0 through 3.4.14; 3.3.0 through 3.3.16; 3.2.0 through 3.2.15; 3.1.0 through 3.1.14; 3.0.0 through 3.0.15; 2.4.0 through 2.4.19. |
| Improper neutralization of special elements in data query logic in Microsoft Discovery Studio allows an unauthorized attacker to disclose information over a network. |
| 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. |
| 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. |
| 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 |
| 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. |
