High Risk
IP 164.92.82.91 is a high-risk address linked to sustained hacking activity originating from DigitalOcean's network infrastructure in the United States, with an aggregate threat score of 8/10 and 7,058 total abuse reports filed across a nine-month window between September 2025 and June 2026. Detection confidence stands at 86%, reflecting strong corroboration across multiple independent sensor networks, while the 8/10 activity frequency confirms this is not an isolated incident but an ongoing campaign.
Routed through AS14061 (DigitalOcean-ASN), this IP has been flagged by twenty separate automated honeypot sensors, with categorized reports showing nineteen instances of general hacking activity and one focused on IoT-targeted behavior. The persistent detection timeline spanning nearly three quarters indicates deliberate, sustained operation rather than opportunistic scanning bursts, and the volume of distinct report sources rules out false-positive classification from any single sensor platform.
The dominant hacking category encompasses automated intrusion attempts, vulnerability probing, and unauthorized access escalation against exposed services. When combined with the IoT targeting indicator, this suggests the operator is conducting reconnaissance across both traditional server infrastructure and connected devices, exploiting weak security configurations, outdated firmware, and default credentials commonly found in poorly managed smart devices and networked hardware. An IP with this reputation landing on an exposed service should be treated as an active exploit attempt rather than benign traffic.
Site operators should block or heavily rate-limit connections from this address at the network perimeter, enforce strong multi-factor authentication on all remote-access services, and maintain rigorous patching cycles to eliminate known vulnerabilities. Deploying automated abuse-detection tools such as fail2ban can proactively mitigate brute-force patterns, while network segmentation of IoT devices and disabling of unnecessary services will reduce the attack surface available to this scanner. Continuous monitoring of inbound connection attempts from this IP will provide early warning if the operator shifts tactics.
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