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High github · GHSA-pvxx-r596-f5qj

PraisonAI: `--api-key` flag on `praisonai serve` is not properly enforced

Published Aug 25, 2026 CVSS 0.0

Summary

praisonai serve agents and praisonai serve unified both accept --api-key for authentication. The flag is parsed but never wired into the FastAPI app — no middleware, no header check, nothing. The server runs wide open regardless of what key you set. Tested on 4.6.50 from PyPI.

Affected versions

  • Confirmed on 4.6.50 (current PyPI, 2026-06-02)
  • Likely since 4.6.34 when the serve subsystem shipped
  • File: src/praisonai/praisonai/cli/features/serve.py

What happens

The CLI defines --api-key in the arg spec (serve.py:199) and passes the parsed value into _create_agents_app(config). But that function never reads config["api_key"]. The FastAPI app gets created with no auth at all. Same thing in _create_unified_app.

The help text says --api-key API key for authentication, so this isn't ambiguous — it's supposed to protect the server. It just doesn't.

$ grep -n "api_key" src/praisonai/praisonai/cli/features/serve.py
107:  --api-key    API key for authentication
199:            "api_key": {"default": None},
847:            "api_key": {"default": None},

Endpoints exposed without auth

  • POST /agents — runs the full agent workflow
  • POST /agents/{name} — invokes a specific agent
  • POST /api/v1/agents/{id}/invoke — n8n integration endpoint
  • GET / — lists all endpoints
  • GET /__praisonai__/discovery — service discovery

Not the same as CVE-2026-44338

CVE-2026-44338 was about the legacy deploy/api.py hardcoding AUTH_ENABLED = False. That was fixed in 4.6.34. This bug is in the newer serve subsystem that shipped in the same release — the --api-key flag exists but was never connected to anything.

PoC

Setup

python3 -m venv /tmp/poc-venv
/tmp/poc-venv/bin/pip install praisonai==4.6.50 fastapi starlette httpx pyyaml

Script

import sys, types, tempfile, os

# Stub heavy deps so we only test the serve auth logic
for m in ["praisonai.endpoints.discovery", "praisonai.endpoints.server",
          "praisonai.api", "praisonai.api.agent_invoke",
          "praisonai.agents_generator", "praisonai.inc"]:
    sys.modules[m] = types.ModuleType(m)

disc = sys.modules["praisonai.endpoints.discovery"]
class Fake:
    def __init__(self, **k): pass
    def add_provider(self, *a, **k): pass
    def add_endpoint(self, *a, **k): pass
    def to_dict(self): return {}
disc.create_discovery_document = lambda **k: Fake()
disc.EndpointInfo = Fake
disc.ProviderInfo = Fake
sys.modules["praisonai.endpoints.server"].add_discovery_routes = lambda a,b: None
sys.modules["praisonai.api.agent_invoke"].FASTAPI_AVAILABLE = False

class FakeGen:
    def __init__(self, **k): pass
    def generate_crew_and_kickoff(self):
        return {"executed": True, "result": "workflow ran"}
sys.modules["praisonai.agents_generator"].AgentsGenerator = FakeGen

class FakeLLM:
    def to_dict(self): return {}
sys.modules["praisonai.inc"].LLMConfig = FakeLLM

f = tempfile.NamedTemporaryFile(mode="w", suffix=".yaml", delete=False)
f.write("name: T\nagents:\n  a:\n    name: A\n    role: R\n    goal: G\n    backstory: B\n")
f.flush()

from praisonai.cli.features.serve import ServeHandler
app = ServeHandler()._create_agents_app({
    "file": f.name, "host": "0.0.0.0", "port": 8000,
    "path": "/agents", "reload": False,
    "api_key": "supersecret",   #

Affected AI Products

tool use llm
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