Maximum Danger
IP 47.251.86.118 is a maximum-threat-level address associated with 308 abuse reports, predominantly linked to hacking activity, that originated from Alibaba US Technology Co., Ltd. infrastructure in the United States. Despite the activity appearing infrequent in recent scoring metrics, the sustained volume of reports spanning October 2025 through March 2026 underscores a persistent threat actor operating from this IP address.
The detection data draws exclusively from 20 automated honeypot sensors, which collectively logged 308 reports over approximately six months. The dominant reported category is Hacking, accounting for 20 recent submissions, with the remaining reports presumably falling into secondary threat classifications. The 59% confidence score indicates that while the threat level is assessed as maximum, there remains some uncertainty in attributing all activity definitively to malicious intent versus potential misconfiguration or benign scanning. The network operator, Alibaba US Technology Co., Ltd., operates AS45102, a segment frequently targeted or utilized by threat actors due to its cloud infrastructure footprint.
Hacking activity in this context encompasses intrusion attempts, exploitation probing, and unauthorized access vectors against exposed services. The sustained report volume suggests automated scanning or credential-based attack campaigns rather than opportunistic single-target strikes. Real-world risk includes compromised credentials, data exfiltration from unpatched services, and potential pivot points for further network intrusion. The combination of high threat rating and persistent reporting activity makes this IP a clear candidate for blocking at network perimeters.
Site operators should immediately block or rate-limit connections from 47.251.86.118 at the firewall or load balancer level. Implementing fail2ban or similar dynamic blocking tools can automate this process based on log analysis. Organizations running publicly accessible services should enforce strong authentication, restrict password-based login where possible, and ensure all software remains current with security patches. Continuous monitoring of abuse feeds and integration of IP reputation data into intrusion detection systems will provide ongoing protection against known malicious sources.
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