SECOPS

Detonate Reported Phishing URLs and Score Risk

When an employee forwards a suspicious email to your phishing inbox, this extracts every URL, detonates them in a headless sandbox browser.

CategorySecOps
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew email in phishing report inboxGmailGmail
  • ActionExtract URLs and sender domain from message
  • ActionDetonate each URL in sandbox browserBrowserbase
  • ActionScore risk and write verdictOpenAI
  • OutputPost scored card to SOC channelSlack

What it does

Turns a noisy phishing report mailbox into a triaged queue. Each forwarded message is parsed for links, every link is opened in an isolated sandbox browser to capture its real landing behavior, and an LLM combines the detonation evidence into a single risk score and verdict that lands in your security channel.

When to use it

Run this when employees forward suspicious mail to a shared address like phishing@yourco.com and your analysts are manually opening links (dangerously) or copy-pasting them into ad-hoc scanners. It removes the manual detonation step and gives every report a consistent score.

How it works

  1. 1A new message arriving in the monitored Gmail inbox triggers the run.
  2. 2URLs and the sender domain are extracted from the raw body and headers.
  3. 3Each URL is loaded in a Browserbase sandbox session, capturing redirects, final domain, page title, and a screenshot.
  4. 4An OpenAI step weighs redirect chains, credential-form patterns, and domain age signals into a 0-100 risk score plus a clear verdict.
  5. 5The scored card, screenshot, and recommended action post to the SOC Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect BrowserbaseHeadless browsers, sessions, replays.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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.

Run this workflow in your colony.

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