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CVE-2026-70477 – Prompt Injection to Remote Code Execution – Flowise prior to 3.1.3

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Summary

CVE-2026-70477 is a code injection (CWE-94) vulnerability in Flowise, the open-source drag-and-drop platform for building LLM applications and AI agents. A prompt injection sent to a chatflow that uses a CSV Agent node can drive the LLM into returning a malicious Python script that bypasses the blocklist validator and executes in an unsandboxed Pyodide environment, resulting in remote code execution. The issue is rated Critical (CVSS 9.5).

Technical details

  • Root cause: The CSV Agent’s run method builds LLM prompts from untrusted user input and then executes the model’s Python response. Validation relies on a static regex blocklist that can be circumvented through obfuscation.
  • Trigger conditions: A chatflow using a CSV Agent node processes an attacker-supplied prompt, causing the LLM to emit Python that passes the validatePythonCodeForDataFrame check.
  • Attack vector: Network. A prompt injection delivered to a chatflow endpoint requires no privileges and no user interaction.
  • Impact: Pyodide is not sandboxed from the host operating system, so any Python code passing the validator runs with full access to OS interfaces — leading to complete compromise of confidentiality, integrity, and availability.

Affected software

  • Flowise (FlowiseAI) versions prior to 3.1.3 (npm flowise and flowise-components ≤ 3.1.2).

Severity

  • CVSS 4.0 base score: 9.5 (Critical)
  • Vector: CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

Mitigation and recommended actions

  • Immediate: Upgrade to Flowise 3.1.3 or later, which contains the fix.
  • If no patch can be applied: Restrict network exposure of Flowise instances, avoid deploying or exposing chatflows that use the CSV Agent node, and place instances behind authenticated, access-controlled network boundaries until upgrading.

References

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