Maximum Danger
IP address 169.150.203.247 is a maximum-risk address operated by Datacamp Limited (AS212238) in the United States that has generated 305 abuse reports since September 2025, with the dominant threat pattern involving web application probing and exploitation attempts detected through automated honeypot sensors. The address carries a 10/10 threat level with a 67% confidence score, indicating a substantiated and serious risk profile.
Analysis of the report corpus reveals that web application attacks dominate the threat landscape for this IP, accounting for 19 of the most recent categorised incidents, supplemented by isolated Hacking and DDoS Attack indicators. The detection footprint spans 20 distinct sources—predominantly automated honeypot infrastructure—with one community-sourced report corroborating the automated findings. The IP was first reported in September 2025 and most recently flagged in February 2026, establishing a sustained six-month engagement window. Operating from a commercial data centre environment under Datacamp Limited's ASN, the address presents the classic profile of infrastructure used for systematic, automated web vulnerability scanning and exploitation.
Web application attacks target the application layer of internet-facing services, exploiting weaknesses such as injection flaws, authentication weaknesses, and misconfiguration errors to compromise application logic, access backend data stores, or establish persistent footholds. The volume and consistency of reports associated with 169.150.203.247 suggest the address is being used for distributed or repeated scanning campaigns that systematically probe web assets for exploitable conditions rather than opportunistic noise. While individual probes may appear low-severity, the cumulative risk to exposed web services is significant when such activity is allowed to persist unchecked.
Site operators should immediately block or heavily rate-limit traffic from this address at the firewall or load-balancer level. Deploying a web application firewall with rule sets tuned to OWASP Top 10 threat patterns will provide a protective buffer against the observed probing activity. Regular security audits and prompt patching of web-facing applications are strongly advised to eliminate the vulnerabilities such scanners target. Implementing detection rules via tools such as fail2ban or equivalent intrusion-prevention systems can automate the identification and blocking of repeating scan signatures. Continuous monitoring of access logs for patterns consistent with the reported activity—particularly automated request sequences and application-layer anomalies—will enable rapid identification of any successful reconnaissance or exploitation attempts.
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