Security Telemetry // Community Intelligence
Community Reputation
I operate honeypot sensors across multiple ranges and service profiles to identify unwanted traffic early, protect production infrastructure, and contribute high-confidence abuse intelligence back to the wider community.
How It Works
I am fortunate to have regular access to routable IP space that can be announced when it is not assigned to active customer workloads. When a range is announced without legitimate service intent, unsolicited hits are treated as suspicious by default.
The pipeline is deliberately selective. I listen on common attack surfaces and common abuse vectors, then apply filtering to avoid noisy, low-value events. Routine internet-wide scanners are identified and de-prioritized so the resulting data stays focused on actionable abuse behavior.
- Announce controlled, unused address space for telemetry windows.
- Collect hits on high-risk and commonly abused service ports.
- Filter broad scanner noise and classify repeated malicious patterns.
- Promote verified abusive sources into production blocklist workflows.
- Share vetted intelligence privately with trusted community contacts.
AbuseIPDB Reporting
Confirmed abuse events are reported to AbuseIPDB with context so others can act quickly. This is one part of a broader reputation process and not a blind auto-report feed.
Contributor profile: abuseipdb.com/user/121600
Why This Matters
The objective is practical, production-ready reputation intelligence: reducing abusive traffic exposure, improving response speed, and helping keep shared infrastructure ecosystems cleaner for everyone involved.
For collaboration or private feed discussion, use hello@aaran.cloud.