If a webhook URL is exposed, anyone can send malicious requests to the user's system.

✅ Solution:

• Encrypt stored webhook URLs in your database. Use Django’s Fernet encryption or PostgreSQL’s pgcrypto.
• Never expose webhook URLs in API responses.
• Allow users to configure HMAC signature verification for added security.

If an attacker intercepts a webhook request, they could alter the payload or replay requests to manipulate data.

✅ Solution:

• Sign webhook requests using an HMAC SHA256 signature with a user-provided secret key.
• Require HTTPS for all webhook requests (use httpx.Client(verify=True)).
• Use idempotency keys to prevent replay attacks.

Users could register webhook URLs that point to internal/private services, leading to Server-Side Request Forgery (SSRF) attacks.

✅ Solution:

• Validate webhook URLs:
  • Block internal IP ranges (e.g., 127.0.0.1, 169.254.169.254).
  • Use DNS resolution checks to ensure the target is an allowed domain.
  • Set network rules to prevent Celery workers from accessing internal services.
  • Limit allowed protocols (only https://, block file://, ftp://).

Users could edit or delete cron jobs that don’t belong to them.

✅ Solution:

• Use JWT-based authentication or API keys for access.
• Ensure ownership checks in API endpoints:
  • python
  • Copy
  • Edit
  • def get_queryset(self):
    • return ScheduledJob.objects.filter(user=self.request.user)

If an API key gets leaked, an attacker could abuse the service or modify webhooks.

✅ Solution:

• Allow users to regenerate API keys at any time.
• Store API keys hashed (never plaintext).
• Require HMAC authentication for API calls.

A user could create too many scheduled jobs or trigger high-frequency requests, overwhelming the system.

✅ Solution:

• Enforce rate limits per user (django-ratelimit or Redis-based limiting).
• Restrict execution frequency (e.g., prevent running jobs every second).
• Allow tier-based limits (e.g., free users can schedule jobs every 15 mins, while premium users can do 1 min).

If users can inject arbitrary Python code into Celery tasks, they could execute malicious code on your server.

✅ Solution:

• Ensure that only predefined tasks can be executed.
• Do not allow dynamic code execution (e.g., avoid eval(), exec()).

If an attacker gets access to task IDs, they could manipulate execution logs or fake results.

✅ Solution:

• Never expose Celery task IDs in API responses.
• Log sensitive details only in internal logs, not in user-facing logs.

If webhook URLs, API keys, or payloads are logged as plain text, they could be exposed.

✅ Solution:

• Mask sensitive data in logs (e.g., store only https://example.com/... instead of the full URL).
• Encrypt idempotency keys and webhook payloads.

If Redis is exposed publicly, attackers could flush jobs, modify tasks, or steal sensitive data.

✅ Solution:

• Use Redis authentication and restrict access to localhost/VPC.
• Use TLS encryption for Redis.

If Django admin is left open, attackers could gain access.

✅ Solution:

• Restrict Django admin access (e.g., IP whitelisting, VPN).
• Use strong authentication (2FA, enforced strong passwords).

✅ Encrypt & protect webhook URLs ✅ Validate webhook destinations (block SSRF, internal network access) ✅ Authenticate all API calls (JWT, API keys, HMAC) ✅ Limit execution frequency & enforce rate limits ✅ Prevent code injection in Celery tasks ✅ Secure Redis & Celery configurations ✅ Harden admin access & logging