Arbitrary Code Injection Affecting flowise-components package, versions >=1.3.0 <3.1.0
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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- published20 Apr 2026
- disclosed16 Apr 2026
- creditLIFE-team2024
Introduced: 16 Apr 2026
NewCVE-2026-41138 (opens in a new tab)How to fix?
Upgrade flowise-components to version 3.1.0 or higher.
Overview
flowise-components is a Flowiseai Components
Affected versions of this package are vulnerable to Arbitrary Code Injection through the pythonCodeValidator and the Python execution paths in AirtableAgent.ts and CSVAgent.ts. An attacker can supply LLM-generated Python code that smuggles in additional imports or reflection-based access and have it executed inside the Pyodide runtime. This lets the attacker run unauthorized Python code in memory, exposing or manipulating data handled by the agent and potentially reaching host-level functionality available to the runtime.
Workarounds
- Disable or avoid using the Airtable Agent and CSV Agent paths that execute LLM-generated Python, so attacker-supplied prompt injection cannot reach
Pyodideexecution. - If you must keep those agents enabled, block any generated Python that contains
importstatements, includingfrom ... import ..., so the model cannot add extra modules before execution.