Automated Clerk Failed Login Spike Alerts
Every hour, WebRun opens Clerk, checks the failed login attempt count against the app's usual hourly range, creates a Trello card naming the time window and the spike size when it's well above normal, and texts the team lead through WhatsApp so a possible credential stuffing attempt or a broken login flow gets looked at quickly.
How do I get alerted about a spike in failed Clerk logins?
WebRun checks Clerk every hour for a failed login attempt count well above the app's usual range. It creates a Trello card naming the time window and spike size, and texts the team lead through WhatsApp, so a possible credential stuffing attempt or a broken login flow gets checked quickly instead of going unnoticed.
- A login spike gets a text within the hour it happens
- Every spike has a tracked investigation until it's explained
- Both attacks and broken login flows get caught the same way
Built for security engineers · platform teams · SaaS engineering teams · DevOps
What does WebRun do on every run?
The exact actions WebRun takes, in order - in plain language, so you can adjust anything.
-
WebRun signs in and gets to work
Opens
dashboard.clerk.comin a real browser with your saved login - no setup, no API keys. -
1
Clerk - check for a failed login spike
clerk.com
WebRun opens Clerk to check for a failed login spike. - Open Clerk and check the failed login attempt count for the past hour
- Compare it against the app's usual hourly range
- Capture the spike size when it's well above normal
Done when The past hour's failed login count is compared against the usual range.
-
2
Trello - card the investigation
trello.com
WebRun opens Trello to card the investigation. - Create a card on the security investigations board when a spike is detected
- Title it with the time window and the spike size
- Move the card to done once the team confirms a cause
Done when Every detected spike has a card until the team marks it resolved.
-
3
WhatsApp - text the team lead
whatsapp.com
WebRun opens WhatsApp to text the team lead. - Text the team lead the time window and spike size for any detected spike
- Ask them to check whether it looks like an attack or a broken flow
- Skip the text entirely on an hour with a normal failure rate
Done when The team lead has a text for every hour with a detected spike.
How is each run configured?
Secure by default
Connect once, stays signed in
WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.
Every action is checked against this policy before it runs.
Questions, answered
Will it block any users or IP addresses?
No. WebRun only reports the spike. Blocking a user or an IP address is always a decision your team makes directly in Clerk.
How does it know what counts as a spike?
It compares the current hour's failed login count against the app's own usual hourly range, so it adapts to your app's normal traffic instead of using a fixed number.
Could this be a broken login flow instead of an attack?
Yes, and that's exactly why it's flagged for a human to check. WebRun reports the spike. It does not guess the cause.
Related templates
Put this on autopilot.
Turn it on in minutes - or have our team set it up for you.