PraisonAI: Missing Authentication for Critical Function and Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') in praisonai

When

2026-06-18 13:58 UTC

Where

Global (internet)

Category

cyber_advisory · pip

# Unauthenticated PraisonAI UI MCP connect endpoint executes attacker-chosen local commands ## Summary PraisonAI v4.6.48 exposes the PraisonAIUI MCP client management API through the default UI host apps without authentication. A remote unauthenticated client can send `POST /api/mcp/connect` with a `command` and `args` field. The endpoint passes those values into the MCP stdio client, which starts the attacker-selected local process as the PraisonAI UI service user. The issue is reachable through PraisonAI's hosted UI integration (`praisonai ui`, `praisonai ui agents`, `praisonai claw`, and any app using `praisonai.integration.host_app.create_host_app()` / `build_host_app()`). `praisonai ui` and related Typer UI commands bind to `0.0.0.0` by default. ## Affected Versions Confirmed affected: - `praisonai` v4.6.48 - Commit tested: `d5f1114aaf1a2e9f121a6e66b929149ca2201f1d` - Tag tested: `v4.6.48` - Pinned UI dependency: `aiui==0.3.121` from `src/praisonai/uv.lock` Likely affected: - Any PraisonAI release that exposes `aiui` / `praisonaiui` `create_app()` through the PraisonAI UI host apps without authentication and includes the `mcp` dependency. I only confirmed the latest release during this audit. ## Severity Reasoning: - `AV`: the vulnerable endpoint is an HTTP API route. - `AC`: a single POST request is sufficient. - `PR`: default UI host apps do not require credentials unless opt-in auth is configured. - `UI`: no victim interaction is needed after the server is running. - `S`: code executes in the PraisonAI UI server process context. - `C/I/A`: arbitrary local command execution permits secret exfiltration, file tampering, and service disruption. ## Root Cause PraisonAI depends on MCP by default and exposes PraisonAIUI via optional UI extras: - `src/praisonai/pyproject.toml:11` includes base dependencies. - `src/praisonai/pyproject.toml:19` includes `mcp>=1.20.0`. - `src/praisonai/pyproject.toml:25` defines the `ui` extra with `aiui>=0.3.121,<0.4`. - `src/praisonai/pyproject.toml:197` defines the `claw` extra with `aiui[all]>=0.3.121,<0.4`. PraisonAI's UI commands bind externally by default and launch `aiui run`: - `src/praisonai/praisonai/cli/commands/ui.py:114` sets `host="0.0.0.0"` for `praisonai ui`. - `src/praisonai/praisonai/cli/commands/ui.py:163` passes that host to `aiui run`. - `src/praisonai/praisonai/cli/commands/ui.py:186`, `:204`, and `:222` also default subcommands to `0.0.0.0`. - `src/praisonai/praisonai/cli/commands/claw.py:41` defines the full dashboard command. - `src/praisonai/praisonai/cli/commands/claw.py:93` launches `aiui run` with the selected host. PraisonAI's default apps create the PraisonAIUI Starlette app without forcing authentication: - `src/praisonai/praisonai/ui_chat/default_app.py:18` calls `configure_host(...)`. - `src/praisonai/praisonai/ui_chat/default_app.py:142` exports `app = create_host_app()`. - `src/praisonai/praisonai/claw/default_app.py:63` calls `configure_host(...)`. - `src/praisonai/praisonai/claw/default_app.py:128` exports `app = create_host_app()`. - `src/praisonai/praisonai/integration/host_app.py:174` imports `praisonaiui.server.create_app`. - `src/praisonai/praisonai/integration/host_app.py:180` returns `create_app()`. In `aiui==0.3.121`, the exposed server registers the MCP routes and auth is opt-in: - `praisonaiui/server.py:1483` defines `api_mcp_connect`. - `praisonaiui/server.py:1488` reads attacker-controlled JSON. - `praisonaiui/server.py:1491` accepts either `command` or `url`. - `praisonaiui/server.py:1496` calls `connect_mcp_server(body)`. - `praisonaiui/server.py:2516` defines `create_app(..., require_auth=False, ...)`. - `praisonaiui/server.py:2550` adds `AuthEnforcementMiddleware`, but it only enforces auth when `AUTH_ENFORCE=true`. - `praisonaiui/server.py:2769` registers `/api/mcp/servers`. - `praisonaiui/server.py:2770` registers `/api/mcp/connect`. The MCP feature converts the request body into a local process launch: - `praisonaiui/features/mcp.py:325` defines `connect_server(self, server_config)`. - `praisonaiui/features/mcp.py:330` chooses stdio transport when `command` is present. - `praisonaiui/features/mcp.py:332` constructs `StdioMCPClient(command=server_config["command"], args=server_config.get("args", []))`. - `praisonaiui/features/mcp.py:360` calls `client.connect()`, which invokes the MCP stdio transport and starts the process. ## Minimal PoC PoC file: `poc/praisonai-aiui-mcp-connect-rce.py` The PoC runs the PraisonAI host app in-process, sends the unauthenticated HTTP request, and asks the server to execute `/usr/bin/touch /tmp/praisonai_host_app_mcp_touch_marker.txt`. It does not contact an LLM provider and uses no credentials. Observed output from the tested checkout with `aiui==0.3.121` and `mcp==1.25.0` available: ```text [19:19:55] server.py:229 WARNING No auth_token provided for Gateway server. Generated temporary token: gw_****650a. For production, set GATEWAY_AUTH_TOKEN. [19:19:55] mcp.py:135 ERROR Failed to connect to MCP stdio server: 'tuple' object has no attribute 'initialize' HTTP_STATUS= 200 RESPONSE= {"server":{"name":"poc-stdio-process-0","transport":"stdio","status":"error","tools":[],"last_error":"Connection failed"}} SUCCESS_AT_ATTEMPT= 0 MARKER_EXISTS= True MARKER_PATH= /tmp/praisonai_host_app_mcp_touch_marker.txt ``` The MCP handshake fails because `aiui==0.3.121` is not compatible with the locked `mcp==1.25.0` return shape, but the attacker-selected process is already started. Process startup can race the immediate teardown caused by this version mismatch, so the checked-in PoC retries the same unauthenticated request until `/usr/bin/touch` wins scheduling and creates the marker. The marker file proves local command execution despite the reported MCP connection error. ## Exploit Scenario An operator runs: ```bash pip install "praisonai[ui]" praisonai ui ``` Because `praisonai ui` binds to `0.0.0.0` by default and the generated app does not require authentication by default, any host that can reach the UI port can send: ```http POST /api/mcp/connect Content-Type: application/json { "name": "evil", "command": "/usr/bin/touch", "args": ["/tmp/pwned-by-ui-mcp"] } ``` In a real attack, the command can be replaced with a shell, a credential exfiltration command, a file modification command, or a payload that starts a long-lived process as the PraisonAI UI server user. ## Novelty / Non-Duplicate Analysis Searched sources: - OSV query for PyPI `praisonai`: 51 advisories returned. - OSV query for PyPI `aiui`: 0 advisories returned. - OSV query for PyPI `praisonaiui`: 0 advisories returned. - GitHub Advisory Database search for exact `/api/mcp/connect`, `api_mcp_connect`, `StdioMCPClient`, `connect_mcp_server`, and `praisonaiui.features.mcp`. - NVD API searches for `PraisonAI StdioMCPClient`, `PraisonAI api_mcp_connect`, `PraisonAI /api/mcp/connect`, `PraisonAIUI /api/mcp/connect`, and `aiui StdioMCPClient`: 0 results. - GitHub issue/PR searches in `MervinPraison/PraisonAI` for exact endpoint/function/class terms. Only one unrelated PR was returned for `/api/mcp/connect`; no issue/PR matched `api_mcp_connect`, `StdioMCPClient`, `connect_mcp_server`, or `praisonaiui.features.mcp`. - Broad web searches for exact endpoint, file, class, and function terms returned no matching public vulnerability report. Why this is distinct from known PraisonAI advisories: - Not the excluded `praisonai serve agents --api-key` `/agents` auth bypass. This report targets `POST /api/mcp/connect` in the PraisonAIUI host app. - Not GHSA-9gm9-c8mq-vq7m / CVE-2026-34935 or GHSA-9qhq-v63v-fv3j / CVE-2026-41497. Those involve `MCPHandler.parse_mcp_command()` command parsing. This finding uses `praisonaiui.server.api_mcp_connect -> praisonaiui.features.mcp.connect_mcp_server -> StdioMCPClient`. - Not GHSA-pj2r-f9mw-vrcq / CVE-2026-40159. That advisory concerns sensitive environment variables inherited by untrusted MCP subprocesses. This f

Sources

• GitHub Advisory Database ↗ · first seen 2026-06-18 13:58 UTC

Defaxon links out to the original reporting and never republishes article text.

Correlated events

Computed by the Defaxon correlation engine — linked by shared actors, co-location, and temporal proximity. Scored hypotheses, never causal claims.

No correlated events found in the current window. As more events arrive, connections form automatically.

← Back to the live map