Turning CT Webhooks into a Phishing Early-Warning System

Webhooks are the connective tissue between certificate sightings and action. When a suspicious domain is logged, your team has minutes—not hours—to respond. Here’s a repeatable blueprint for turning CatchPhi.sh webhooks into a dependable early-warning system.

1. Normalize the payload

Every webhook includes certificate metadata, the rule that matched, enrichment fields (WHOIS, DNS, AI score), and quick links to revoke or investigate. Store the payload in your data warehouse or queue so downstream tools can correlate events.

{
  "rule": "regex:brand-login",
  "domain": "login-brand-secure.com",
  "matchType": "regex",
  "ctLog": "Google Argon",
  "riskScore": 0.82,
  "whois": { "registrar": "Namecheap", "country": "NL" }
}

2. Route to the right people

• Slack bots keep engineers and marketing teams in sync. Highlight the risk score and registrar so the right team jumps in.
• Ticketing automation (Jira, Linear, Zendesk) converts high-risk matches into tasks with due dates.
• SIEM correlation lets detection engineers tie CT sightings to other telemetry like DNS queries or email reports.

3. Automate takedown prep

Bundle enriched fields into templated abuse reports. Many registrars accept automated submissions; you can hit their APIs or email forms directly. Add a human approval step if you need to keep a human-in-the-loop.

4. Measure the impact

Track how many phishing campaigns you intercept, how long takedowns take, and which rules generate the most signal. Feed those insights back into your rule set to fine-tune regex coverage and edit-distance thresholds.

With automation in place, CatchPhi.sh becomes a force multiplier. Your team focuses on decision-making while the platform handles the stream, enrichment, and delivery.

Photo by Laura Ockel on Unsplash