CVE-2026-70477
CriticalCVSS 9.5Summary
Flowise before version 3.1.3 contains a prompt injection vulnerability in the CSV Agent node, allowing a malicious Python script to bypass the blocklist validator and execute in an unsandboxed Pyodide environment. An attacker can leverage this to execute arbitrary code in the context of the service account.
Risk Assessment
The risk includes full compromise of the Flowise application and potentially the underlying server, leading to potential data confidentiality and integrity breaches.
Recommendation
It is recommended to immediately upgrade Flowise to version 3.1.3 or later, which includes a fix for this vulnerability.
Original NVD description (English source)
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, a prompt injection sent to a chatflow using a CSV Agent node can cause the LLM to respond with a malicious Python script that bypasses the blocklist validator and executes in an unsandboxed Pyodide environment. The specific flaw exists within the run method of the CSV_Agents class, where untrusted data is used to construct an LLM prompt and the resulting pythonCode is validated by validatePythonCodeForDataFrame before execution. An attacker can leverage this to execute arbitrary code in the context of the service account. This issue is fixed in 3.1.3.