Make raw user-agent details easier to review
Turn a dense user-agent header into a short, readable client summary.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
User Agent Parser API
Parses a user agent into device, operating system, browser, and bot details.
Why this helps
Raw user-agent strings can be difficult to scan and compare while reviewing reports or investigating suspicious activity.
- Parse device, operating system, browser, and bot details.
- Make raw header information easier to scan.
- Keep client context near the related report.
Setup
Build it in a few focused steps.
- 1Connect Abuselpdb and Big data cloud once in the Notis portal.
- 2Create an automation in Automations, New Automation, and give it a name and prompt.
- 3Tell Notis to parse the user-agent string supplied in the webhook and summarize the returned client details.
- 4Pick the webhook trigger and choose where run reports should go.
- 5Test with one real user-agent string from a report.
Questions about this workflow
What input does this action need?
It needs a raw user-agent string, such as one supplied with a request or report.
Can it establish that a client is malicious?
No. It parses client details, including bot information. Treat those details as context rather than a standalone threat verdict.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Abuselpdb to Big data cloud. A trigger fires from one place; an action lands in another.
Abuselpdb triggers
Big data cloud actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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Connect any two apps with Notis in the middle.
Abuselpdb and Big data cloud, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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