Substantial Risk
IP 34.19.116.54 is a high-risk address operating from Google Cloud Platform infrastructure that has generated 232 abuse reports across automated honeypot sensors since January 2026, with hacking activity and web application intrusion attempts dominating the threat landscape. The IP's location within AS396982 (GOOGLE-CLOUD-PLATFORM) is particularly noteworthy, as cloud-hosted attack sources frequently bypass basic IP reputation filters that might block addresses from known bullet-proof hosting providers. Despite a threat level of 8/10, the activity frequency score of 0/10 indicates that this IP conducts sustained, low-volume automated attacks rather than high-intensity burst campaigns, which often signals a rented or compromised cloud resource used for persistent reconnaissance and exploitation rather than opportunistic disruption.
Detection data from 20 independent honeypot sensors reveals a multi-vector threat profile centred on content management system exploitation and infrastructure reconnaissance. The most significant pattern involves WordPress-focused attacks, including wp-config access attempts and login brute-force escalation, suggesting the operator is targeting common web application vulnerabilities in deployed CMS installations. Secondary detection signatures include IoT device probing, CiscoASA port scanning, and SSH session enumeration on expected ports, indicating the IP conducts broad infrastructure mapping alongside targeted application-layer attacks. The Suricata alert referencing protocol detection anomalies further confirms automated tooling is in use, consistent with attack frameworks that cycle through multiple target types systematically.
The concentration of WordPress-specific attack patterns reveals a deliberate focus on one of the most widely deployed web platforms globally, where outdated installations and weak credentials provide reliable entry points. Combined with IoT reconnaissance and port scanning, this IP exhibits the classic behaviour of an automated attack platform scanning for vulnerable targets across multiple protocol layers. The low activity frequency paired with high report volume across diverse sensor types suggests consistent but methodical exploitation attempts rather than noisy brute-force campaigns, making detection by signature-based tools alone more challenging without behavioural analysis.
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