Critical Threat
IP 152.32.170.55 is a critical-risk address operating from Hong Kong that has been extensively flagged for hacking activity, generating 2097 abuse reports with an 89% confidence score and a threat level of 10 out of 10. The address, routed through ZEN-DPS network (AS62610), has demonstrated persistent malicious behavior at a frequency rated 8 out of 10 over a monitoring period spanning September 2025 through June 2026.
Automated honeypot sensors detected this IP engaging in repeated intrusion attempts across 20 separate detection points, confirming coordinated and high-volume hostile activity. The report volume of 2097 represents sustained engagement with target infrastructure over approximately nine months, indicating an organized or automated campaign rather than opportunistic scanning. With activity confirmed across the full monitoring window, this IP demonstrates persistent targeting behavior consistent with compromised infrastructure or dedicated hostile actors operating continuously.
The dominant threat category, hacking, encompasses exploitation of vulnerabilities, unauthorized access attempts, and intrusion activities against exposed services. This pattern represents a concrete risk to any externally accessible system, particularly unpatched services, default configurations, or weak authentication mechanisms. Attackers leveraging this IP are systematically probing for entry points, and successful exploitation could result in data breach, service compromise, or lateral movement within target networks.
Site operators should immediately block IP 152.32.170.55 at the firewall level and implement deny-by-default network policies. Deploying automated blocking tools such as fail2ban or equivalent rate-limiting solutions will reduce the effectiveness of continued probing. All exposed services should be audited for current patches, strong credential requirements, and multi-factor authentication where feasible. Ongoing monitoring of related traffic patterns is recommended to detect any shifts in targeting behavior or infrastructure reuse.
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