SECOPS

Daily WAF bypass audit against Honeycomb origin hits

Once a day, reconciles Cloudflare WAF allow decisions on sensitive paths against Honeycomb origin traces to find requests that should have been blocked but reached the backend.

CategorySecOps
Enginesim
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionPull Cloudflare WAF decisions for sensitive pathsCloudflareCloudflare
  • ActionPull Honeycomb origin traces for those pathsHoneycomb
  • LogicFind bad-signature requests that reached origin
  • OutputOpen or update GitHub issue with bypass listGitHubGitHub

What it does

Each day it audits whether the WAF is actually catching what it should. It pulls Cloudflare events for sensitive paths and compares them against Honeycomb origin traces to find requests matching known-bad signatures that were allowed through. The mismatches are likely rule gaps or misconfigured exceptions, and they get filed for the team to fix.

When to use it

Use it as a recurring assurance check on your WAF ruleset rather than a real-time alert. It answers "is anything getting past us that shouldn't be?" on a steady cadence.

How it works

  1. 1A daily schedule fires.
  2. 2An action step pulls Cloudflare WAF decisions for the configured sensitive paths over the past day.
  3. 3An action step pulls Honeycomb origin traces for those same paths.
  4. 4A logic step finds requests that matched bad signatures yet reached origin, the suspected bypasses.
  5. 5The output step opens or updates a GitHub issue listing each suspected bypass with the trace link and suggested rule fix.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
  2. 2
    Connect HoneycombDistributed traces and queries.
  3. 3
    Connect GitHubRepos, issues, pull requests, actions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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