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Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

FlowiseGHSA-x6vm-w76m-8j7g

Flowise: Remote Code Execution Vulnerability in CSVAgent

Flowise

CVE-2026-69256 · Published Aug 4, 2026

Critical
Fix: upgrade to 3.1.3 or later
GitHub advisory

Summary

The CSVAgent node was observed to allow users to write Python code which gets executed via pyodide. The original intent was to allow users to utilise the pandas library for CSV processing. Although there is a denylist that checks for dangerous Python constructs from being passed in, pandas has a read_pickle() [function](https://pandas.pydata.org/docs/reference/api/pandas.read_pickle.html) that deserialises a pickled payload and this can be leveraged to achieve code execution.

Details

The affected file is the CSVAgent node, found in: flowise-components/nodes/agents/CSVAgent/CSVAgent.ts.

```js

try {

const code = `import pandas as pd

import base64

from io import StringIO

import json

base64_string = "${base64String}"

decoded_data = base64.b64decode(base64_string)

csv_data = StringIO(decoded_data.decode('utf-8'))

df = pd.${customReadCSVFunc} <1>

my_dict = df.dtypes.astype(str).to_dict()

print(my_dict)

json.dumps(my_dict)`

dataframeColDict = await pyodide.runPythonAsync(code)

} catch (error) {

throw new Error(error)

}

`

At <1>, the customReadCSVFunc is supplied by the user. This input goes through input validation that denies dangerous Python constructs from being passed in:

```py

const FORBIDDEN_PATTERNS: Array<{ pattern: RegExp; reason: string }> = [

// Imports (the executor pre-imports pandas and numpy; LLM code must not...

Affected versions

PackageAffectedFixed in
flowise
npm
< 3.1.33.1.3
Details and references

### Summary The CSVAgent node was observed to allow users to write Python code which gets executed via `pyodide`. The original intent was to allow users to utilise the `pandas` library for CSV processing. Although there is a denylist that checks for dangerous Python constructs from being passed in, `pandas` has a `read_pickle()` [function](https://pandas.pydata.org/docs/reference/api/pandas.read_pickle.html) that deserialises a pickled payload and this can be leveraged to achieve code execution. ### Details The affected file is the `CSVAgent` node, found in: `flowise-components/nodes/agents/CSVAgent/CSVAgent.ts`. ```js try { const code = `import pandas as pd import base64 from io import StringIO import json base64_string = "${base64String}" decoded_data = base64.b64decode(base64_string) csv_data = StringIO(decoded_data.decode('utf-8')) df = pd.${customReadCSVFunc} <1> my_dict = df.dtypes.astype(str).to_dict() print(my_dict) json.dumps(my_dict)` dataframeColDict = await pyodide.runPythonAsync(code) } catch (error) { throw new Error(error) } ``` At <1>, the `customReadCSVFunc` is supplied by the user. This input goes through input validation that denies dangerous Python constructs from being passed in: ```py const FORBIDDEN_PATTERNS: Array<{ pattern: RegExp; reason: string }> = [ // Imports (the executor pre-imports pandas and numpy; LLM code must not add any imports) { pattern: /\bfrom\s+\S+\s+import\b/g, reason: 'import statement (from...import)' }, { pattern: /\bimport\b/g, reason: 'import statement (all imports forbidden; pandas and numpy are pre-imported by the executor)' }, // Dangerous builtins { pattern: /\beval\s*\(/g, reason: 'eval()' }, { pattern: /\bexec\s*\(/g, reason: 'exec()' }, { pattern: /\bcompile\s*\(/g, reason: 'compile()' }, { pattern: /\b__import__\s*\(/g, reason: '__import__()' }, { pattern: /\bopen\s*\(/g, reason: 'open()' }, { pattern: /\bbreakpoint\s*\(/g, reason: 'breakpoint()' }, { pattern: /\binput\s*\(/g, reason: 'input()' }, { pattern: /\braw_input\s*\(/g, reason: 'raw_input()' }, { pattern: /\bglobals\s*\(/g, reason: 'globals()' }, { pattern: /\blocals\s*\(/g, reason: 'locals()' }, { pattern: /\bgetattr\s*\(/g, reason: 'getattr()' }, { pattern: /\bsetattr\s*\(/g, reason: 'setattr()' }, { pattern: /\bdelattr\s*\(/g, reason: 'delattr()' }, { pattern: /\breload\s*\(/g, reason: 'reload()' }, { pattern: /\bfile\s*\(/g, reason: 'file()' }, { pattern: /\bexecfile\s*\(/g, reason: 'execfile()' }, // Dangerous modules / attributes { pattern: /\bos\./g, reason: 'os module' }, { pattern: /\bsubprocess\./g, reason: 'subprocess module' }, { pattern: /\bsys\./g, reason: 'sys module' }, { pattern: /\bsocket\./g, reason: 'socket module' }, { pattern: /\burllib\./g, reason: 'urllib module' }, { pattern: /\brequests\./g, reason: 'requests module' }, { pattern: /\b__builtins__\b/g, reason: '__builtins__' }, { pattern: /\b__loader__\b/g, reason: '__loader__' }, { pattern: /\b__spec__\b/g, reason: '__spec__' }, { pattern: /\b__class__\b/g, reason: '__class__ (reflection)' }, { pattern: /\b__subclasses__\s*\(/g, reason: '__subclasses__()' }, { pattern: /\b__bases__\b/g, reason: '__bases__' }, { pattern: /\b__mro__\b/g, reason: '__mro__' }, { pattern: /\b__globals__\b/g, reason: '__globals__' }, { pattern: /\b__code__\b/g, reason: '__code__' }, { pattern: /\b__closure__\b/g, reason: '__closure__' }, { pattern: /\bvars\s*\(/g, reason: 'vars()' }, { pattern: /\bdir\s*\(/g, reason: 'dir()' }, { pattern: /\b__dict__\b/g, reason: '__dict__ (attribute reflection)' }, { pattern: /\b__module__\b/g, reason: '__module__ (module reflection)' } ] ``` However, by using `pandas.read_pickle()`, an attacker can achieve code execution without hitting any of the denied words. ### PoC First, generate a pickled payload that performs an OS command (replace

CVSS 4.0
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-94
Also known as
CVE-2026-69256

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