Extreme Threat
IP 101.36.98.7, attributed to UCLOUD INFORMATION TECHNOLOGY HK LIMITED (AS135377), presents a critical threat profile with a maximum threat level of 10/10, supported by 3,648 total abuse reports from automated honeypot sensors. The address was first and last reported in October 2025, with all recent reports categorizing the activity as general hacking attempts.
The dataset reveals a substantial abuse history despite a moderate confidence score of 59%, indicating that while the threat level is confirmed, some attribution details remain uncertain. All 3,648 reports originated from automated honeypot sensors, suggesting systematic scanning or exploitation activity rather than isolated incidents. The IP is geolocated to the United States, though the network operator is a Hong Kong-registered cloud provider, a common configuration for infrastructure used in transient threat campaigns. The activity frequency metric suggests that while historical volume was significant, the reporting window remains anchored to October 2025.
Hacking activity encompasses a broad range of intrusion attempts, vulnerability exploitation, and unauthorized access vectors. Automated honeypot sensors detect such activity when scanning tools, exploit payloads, or credential attack patterns target exposed services. The volume of 3,648 reports from a single IP within a compressed timeframe indicates persistent, automated scanning behavior designed to identify and compromise vulnerable systems across the internet. Organizations with exposed services face risk of exploitation if vulnerabilities remain unpatched or authentication mechanisms stay weak.
Site operators should implement layered defensive controls to mitigate risk from this and similar threat sources. Deploying fail2ban or equivalent intrusion prevention tools can automatically block IPs exhibiting scanning behavior. Enforcing strong authentication, minimizing exposed attack surfaces, and maintaining regular patch cycles for all internet-facing services significantly reduces exploitation risk. Implementing network-level rate limiting and connection throttling can also degrade the effectiveness of automated scanning campaigns targeting vulnerable endpoints.
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