SECOPS

Phishing URL and IOC Enrichment

Takes a reported phishing email submitted via webhook, extracts every URL and sender indicator, enriches them against threat-intel lookups.

CategorySecOps
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives reported email payloadHTTP webhook
  • ActionExtract and de-dupe URLs, domains, senders
  • ActionEnrich indicators with reputation lookupsExa
  • LogicRoll up indicators into case verdict
  • ActionWrite enriched case to PostgresPostgreSQLPostgres
  • OutputPost verdict summary to SlackSlack

What it does

Automatically enriches the indicators in a reported phishing email. It pulls every URL, domain, and sender address out of the report, runs each through reputation and reachability checks, and produces a consolidated verdict with the supporting evidence attached.

When to use it

Use this when your intake already exists but analysts still copy-paste URLs into separate tools to judge them. It standardizes enrichment so every report lands with a malicious / suspicious / clean verdict and evidence trail.

How it works

  1. 1An intake system POSTs the reported email payload to the webhook trigger.
  2. 2URLs, domains, and sender addresses are extracted and de-duplicated.
  3. 3Each indicator is enriched: reputation and web context lookups gather hosting, age, and known-bad signals.
  4. 4A scoring step rolls the per-indicator findings into a single case verdict.
  5. 5The enriched case, with verdict and evidence, is written to a Postgres case table and a summary is posted to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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