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IBM Langflow OSS 1.0.0 through 1.10.3 allows users to read arbitrary files from the server filesystem, including other users' uploaded documents, the JWT signing secret, the SQLite database, and process environment variables, by sending a crafted MCP `resources/read` request with a URL-encoded path traversal sequence in the filename.
ChirpStack's SQLite-backend device tag filtering (chirpstack/src/storage/device.rs, in both get_count() and list()) interpolates the user-supplied tag KEY directly into a raw SQL fragment via Rust's format!() macro (`dsl::sql::<Bool>(&format!("device.tags->>'{}' =", k)).bind::<Text, _>(v)`), while only the tag VALUE is safely parameter-bound via Diesel's .bind(). An authenticated user with device-list access can inject SQL via a crafted tag key when the SQLite backend (chirpstack-sqlite package) is in use; the PostgreSQL backend is unaffected as it uses Diesel's native JSONB containment operator instead of raw SQL string formatting.
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the SQLite Record Manager node in packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts accepted user-controlled additionalConfig and spread it after the intended database setting, allowing additionalConfig.database to overwrite the SQLite database path. An authenticated attacker using the published Docker image, which ran as root, could write a SQLite database to paths such as /etc/chromium/exploit.conf; by controlling the table name and namespace value, the attacker could place shell syntax into the database file and trigger execution when Puppeteer launched Chromium and sourced /etc/chromium/*.conf. This issue is fixed in version 3.1.3.