Prior to 3.1.3, Flowise CSVAgent interpolates an attacker-controlled segment of the csvFile data URI directly into a Python source-code template that is then executed by Pyodide. Because Pyodide is loaded with the default js bridge to globalThis, which on Node.js exposes eval and dynamic import, the attacker can break out of the Python string literal, hand a JavaScript string to js.eval, dynamically import Node built-in modules such as fs and child_process, and execute arbitrary file I/O or OS commands as the Flowise process. The two validator paths around this code, validatePythonCodeForDataFrame and validateCustomReadCSVFunction, are never applied to the bootstrap template. A workspace user with chatflows:create or agentflows/chatflows update permission can plant a CSV Agent node with a crafted csvFile; once the chatflow is exposed via POST /api/v1/prediction/:id, any unauthenticated request triggers host remote code execution. This issue is fixed in version 3.1.3.

Affected: npm: flowise, npm: flowise-components

### Summary Flowise's `CSVAgent` interpolates an attacker-controlled segment of the `csvFile` data URI directly into a Python source-code template that is then executed by Pyodide. Because Pyodide is loaded with the default `js` bridge to `globalThis` (which on Node.js exposes `eval` and dynamic `import()`), the attacker can break out of the Python string literal, hand a JS string to `js.eval`, dynamically import any Node built-in module (`fs`, `child_process`, …), and execute arbitrary file I/O or OS commands as the Flowise process. The two validator paths around this code (`validatePythonCodeForDataFrame` and `validateCustomReadCSVFunction`) are never applied to the bootstrap template.

A workspace user with `chatflows:create` (or any `agentflows`/`chatflows` update permission) plants a CSV Agent node with a crafted `csvFile`. Once the chatflow is exposed via the (whitelisted, public) `POST /api/v1/prediction/:id` endpoint, *any unauthenticated* request triggers the host RCE.

### Details

**Vulnerable file:** `packages/components/nodes/agents/CSVAgent/CSVAgent.ts`

The `run()` method extracts the file segment from the data URI by splitting on `,` and using two `pop()` calls (lines 127–138):

```ts } else { if (csvFileBase64.startsWith('[') && csvFileBase64.endsWith(']')) { files = JSON.parse(csvFileBase64) } else { files = [csvFileBase64] }

for (const file of files) { if (!file) continue const splitDataURI = file.split(',')…

Ein Angreifer kann mehrere Schwachstellen in Flowise ausnutzen, um beliebigen Code auszuführen – sogar mit Root-Rechten –, erweiterte Privilegien zu erlangen, Sicherheitsmaßnahmen zu umgehen, Sitzungen zu kapern sowie Daten offenzulegen oder zu manipulieren.