High Risk
IP 74.82.47.2 is a high-risk address operating from Hurricane Electric's AS6939 network in the United States, linked to sustained hacking activity with a threat level of 8/10 and 400 total abuse reports from automated honeypot sensors. The IP's activity frequency score of 8/10 reflects continuous, automated hostile operations detected over approximately 10 months between August 2025 and June 2026, making it a persistent rather than opportunistic threat actor.
Analysis of the 400 reports attributed to 74.82.47.2 reveals a diversified attack portfolio dominated by general hacking activity (16 recent reports), supplemented by web application attacks (2), IoT-targeted probes (1), and exploited host activity (1). Detection across 20 independent automated honeypot sensors confirms this traffic originates from a single coherent source. The attack-pattern indicators — web app/probe, attack connection, IoT/ICS targeted, and malware/exploit activity — collectively suggest the operator employs multiple exploitation toolkits targeting diverse vulnerabilities across web services, Internet of Things devices, and potentially industrial control systems simultaneously.
The concentrated volume and variety of reported activity indicates this IP likely runs automated exploitation frameworks that continuously scan and attack exposed services. For network operators with SSH, web servers, or IoT devices directly accessible from the internet, this represents a concrete risk of unauthorized access, credential compromise, or device exploitation. The sustained activity pattern spanning nearly a year demonstrates determination and resources, suggesting this is not a transient or scripted script but an established threat operation.
Organizations observing connections from 74.82.47.2 should implement immediate blocking at the network perimeter, deploy rate-limiting controls on authentication endpoints to mitigate credential-stuffing attempts, and enforce strong multi-factor authentication on all remote-access services. Regular security audits of web-facing applications and network segmentation for IoT devices are strongly recommended. Defensive tools such as fail2ban can automate the blocking of repeated connection attempts from this source. Continuous monitoring for the specific scanning signatures associated with this IP will help identify any attempted reconnaissance or exploitation attempts that slip through initial defences.
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