SECOPS
Block source IPs in Cloudflare when a GitLab token shows anomalous use
Starting from a suspicious GitLab token event, this verifies the originating IPs are also flagged as bots in Cloudflare and, if so, adds them to a Cloudflare WAF block list…
How it runs
The automated pipeline, trigger to output.
- TriggerGitLab token-anomaly eventGitLab
- ActionExtract source IPs from anomalous token activityGitLab
- ActionCheck IP bot reputation in CloudflareCloudflare
- LogicGate: proceed only for confirmed hostile IPs
- ActionAdd IPs to Cloudflare WAF block listCloudflare
- OutputOpen Datadog incident to track containmentDatadog
What it does
This flips the usual direction: the trigger is GitLab, not Cloudflare. When GitLab reports anomalous token use — a new geo, an impossible-travel login, or a sudden burst of API calls — the flow checks whether the source IPs are already bot-flagged in Cloudflare. If they are, it concludes the token is being driven by hostile infrastructure and blocks those IPs at the Cloudflare WAF, then opens a Datadog incident to track the containment.
When to use it
Use this when GitLab anomaly detection is your earliest signal and you want to push enforcement back out to the edge automatically. It closes the loop between identity-layer anomalies and perimeter blocking without a responder copy-pasting IPs between consoles.
How it works
- 1A GitLab token-anomaly event triggers the flow.
- 2The flow extracts the source IPs from the anomalous token activity.
- 3It checks each IP's bot reputation in Cloudflare.
- 4A logic gate proceeds only for IPs confirmed as bot/hostile.
- 5Confirmed IPs are added to a Cloudflare WAF block list and a Datadog incident is opened for tracking.
Set it up
What you configure once, before turning it on.
- 1Connect GitLabRepos, MRs, pipelines, registry.
- 2Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
- 3Connect DatadogMetrics, traces, log search.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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