GitHub Advisoryadvisory · PyPI
GHSA-4f6c-2vvp-gw82 Langflow: IP Spoofing Bypass via `X-Forwarded-For` Allowing Remote Configuration Write
HIGH
Official page ↗
- Aliases
- CVE-2026-105741
- Ecosystem
- PyPI
- Packages
- langflow
- Severity
- High
- CVSS vector
- CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
- Weaknesses
- CWE-290, CWE-345
- Reviewed
- 2026-10-07
Affected packages
• PyPI langflow: >= 1.5.0, < 1.10.3 → fixed in 1.10.3
Description
Description:
Summary
An IP spoofing vulnerability in the Model Context Protocol (MCP) configuration installation endpoint (`POST /api/v1/mcp/project/{project_id}/install`) allowed authenticated remote attackers to bypass the "local-only" access restriction. By sending a spoofed `X-Forwarded-For: 127.0.0.1` header, an attacker could make the server treat the request as originating from localhost, letting them write/overwrite an MCP client configuration file on the server's filesystem.
Details
The vulnerability lived in the `get_client_ip` helper, used to enforce the local-only gate for `install_mcp_config`. It trusted the leftmost (fully client-controlled) entry of `X-Forwarded-For` unconditionally, with no check for whether the request had actually passed through a trusted proxy.
Vulnerable code (introduced by commit `d3d06be8e5`, first released in v1.5.0): `src/backend/base/langflow/api/v1/mcp_projects.py`
```python
def get_client_ip(request: Request) -> str:
# Check for X-Forwarded-For header (common when behind proxies)
forwarded_for = request.headers.get("X-Forwarded-For")
if forwarded_for:
# The client IP is the first one in the list
return forwarded_for.split(",")[0].strip()
if request.client:
return request.client.host
return "255.255.255.255"
@router.post("/{project_id}/install")
async def install_mcp_config(
project_id: UUID,
body: MCPInstallRequest, # {client: str, transport: "sse" | "streamablehttp" | None}
request: Request,
current_user: CurrentActiveMCPUser,
):
client_ip = get_client_ip(request)
if not is_local_ip(client_ip):
raise HTTPException(status_code=500, detail="MCP configuration can only be installed from a local connection")
...
```
Correction vs. the original report: the request body accepted by this endpoint is `MCPInstallRequest {client: str, transport: str | None}` (`src/backend/base/langflow/api/v1/schemas/__init__.py`). There is no `mcp_path` field, and the destination path is never attacker-supplied. `install_mcp_config` resolves the write target itself, via `get_config_path(body.client)`, to one of a fixed, small set of well-known per-OS developer-tool config paths under the server process's home directory: `~/.cursor/mcp.json` (Cursor), `~/.codeium/windsurf/mcp_config.json` (Windsurf), or the Claude Desktop config (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS, `%APPDATA%\Claude\claude_desktop_config.json` on Windows/WSL). The impact is therefore "attacker-influenced content written into one of these fixed files," not an arbitrary-path write.
PoC
1. Authenticate to obtain a valid access token.
2. Identify a `project_id` the attacker has access to.
3. Send:
```bash
curl -X POST "http://:7860/api/v1/mcp/project//install" \
-H "Authorization: Bearer " \
-H "X-Forwarded-For: 127.0.0.1" \
-H "Content-Type: application/json" \
-d '{"client": "cursor"}'
```
4. The server returns `200 OK` and writes/overwrites `~/.cursor/mcp.json` on the host with an attacker-influenced MCP server entry, despite the request originating from a remote, non-local address.
Impact
Authenticated Remote Configuration Write to one of a fixed set of IDE/MCP client config files on the host. Could be leveraged to:
• Inject a malicious MCP server definition into Cursor/Windsurf/Claude Desktop config, so a local developer who later opens that IDE on the host connects to an attacker-controlled MCP server.
• Disrupt or corrupt the existing MCP configuration for those tools.
• Bypass an intended network-boundary control ("local-only").
Status: already fixed
This exact bypass (single-line, comma-separated `X-Forwarded-For` spoofing, default configuration) is fixed as of:
• Fix PR: langflow-ai/langflow#13915 — "fix(security): stop trusting X-Forwarded-For for the MCP install locality check", landed as part of the broader hardening effort in langflow-ai/langflow#13530.
• Fix: `get_client_ip` now uses the real TCP peer (`request.client.host`) by default and ignores `X-Forwarded-For` entirely unless the operator has explicitly opted in via the `rate_limit_trust_proxy` setting (default `False`); when opted in, it takes the rightmost entry, mirroring `langflow.services.rate_limit.service.get_client_ip`.
• Released in: v1.11.0, and backported to v1.10.3 (langflow-ai/langflow#14071).
• Related follow-up: a narrower, related bypass — reachable only when an operator has explicitly set `rate_limit_trust_proxy=true` behind a proxy that emits `X-Forwarded-For` as repeated header lines rather than a single comma-separated line (e.g. HAProxy's `option forwardfor`) — was separately closed by langflow-ai/langflow#14425, released in v1.11.3. This does not affect default deployments (`rate_limit_trust_proxy` defaults to `False`).
• This report is a near-duplicate of GHSA-qvvj-g573-9638, which describes the same root cause and is fixed by the same PR.
Affected versions
• The vulnerable endpoint/helper was introduced in v1.5.0 (langflow-ai/langflow#8271, "add one click install to mcp servers on specific clients", 2025-07-08). Versions prior to v1.5.0 do not contain this endpoint and are not affected by this issue.
• Vulnerable: >= 1.5.0, < 1.10.3 (and < 1.11.0 on mainline).
• Fixed: v1.10.3 (backport) and v1.11.0 onward.
Related
Alias · CVE (1)
- CVE-2026-105741 Langflow is a tool for building and deploying AI-powered agents and workflows. vulnerability
References
- https://github.com/langflow-ai/langflow/security/advisories/GHSA-4f6c-2vvp-gw82 web
- https://nvd.nist.gov/vuln/detail/CVE-2026-105741 advisory
- https://github.com/langflow-ai/langflow/pull/13915 web
- https://github.com/langflow-ai/langflow/commit/1f39a4b9d62c9dfa1b21fa7f85e23a180c351b72 web
- https://github.com/langflow-ai/langflow/commit/94859df33acd70b2a1f816e26d68f5e89a7e5639 web
- https://github.com/langflow-ai/langflow package
- https://github.com/langflow-ai/langflow/releases/tag/v1.10.3 web