SECOPS

Cloudflare Block-List Expiry and Auto-Unblock Reviewer

Periodically reviews active Cloudflare ASN blocks, checks whether each still shows abusive traffic in Axiom, lifts blocks that have gone quiet.

CategorySecOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEvery 6 hours
  • ActionList active Cloudflare ASN blocksCloudflareCloudflare
  • ActionRecheck recent activity per blocked ASNAxiom
  • LogicDecide lift or keep per ASN
  • ActionRemove quiet ASNs from block listCloudflareCloudflare
  • OutputLog decisions to Linear ticketLinearLinear

What it does

Quarantine lists rot if nobody prunes them. This workflow closes the loop on the other templates by reviewing every active Cloudflare ASN block on a schedule. For each blocked network it re-checks recent Axiom data to see whether abusive traffic has stopped. Networks that have gone quiet past a cooldown window get unblocked automatically, while persistent offenders stay blocked. Every keep-or-lift decision is appended to a running Linear ticket for audit.

When to use it

Use this alongside any auto-blocking workflow to prevent permanent collateral damage to shared hosting ASNs and to keep your block list lean. It is the cleanup crew that stops stale rules from silently blackholing legitimate traffic.

How it works

  1. 1A 6-hour schedule triggers the review.
  2. 2Cloudflare returns the current list of blocked ASNs and when each was added.
  3. 3Axiom checks recent request and error activity for each blocked ASN.
  4. 4A logic step decides lift for ASNs quiet past cooldown, keep otherwise.
  5. 5Cloudflare removes the lifted ASNs from the block list.
  6. 6Each decision and its rationale is logged to a Linear ticket.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
  2. 2
    Connect AxiomLog streams, queries, dashboards.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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