Extreme Threat
IP 172.86.95.115 is a critical-risk address that automated honeypot sensors flagged 3,163 times for hacking activity originating from a German network operated by aurologic GmbH. The IP carries a maximum threat level of 10/10, though the confidence score of 59 percent reflects the nature of automated detection where patterns may occasionally overlap with legitimate traffic. The reported activity falls entirely within the Hacking category, indicating systematic intrusion attempts rather than opportunistic noise.
Analysis of the detection data reveals concentrated malicious traffic detected exclusively by automated honeypot sensors between October 2025 dates, placing the activity squarely within the recent reporting window. The network is registered to aurologic GmbH, an AS30823 operator in Germany, which provides geographic and organizational context for the source. Despite an activity frequency rated at 0/10, the sheer volume of 3,163 total reports demonstrates persistent, high-intensity engagement with exposed attack surfaces over a compressed timeframe. The 20 most recent reports all classify the threat uniformly as Hacking, suggesting a consistent methodology rather than varied attack types.
The Hacking classification encompasses broad intrusion activity including vulnerability exploitation attempts, unauthorized access probing, and exploitation of misconfigured services. This IP's sustained report volume indicates automated tooling designed to discover and compromise exposed entry points at scale. Real-world risk includes potential credential compromise, data exfiltration, or use of compromised systems as launchpads for further attacks. Even with moderate confidence, the threat level and volume warrant treating this address as actively hostile.
Site operators should immediately block IP 172.86.95.115 at the firewall level and implement automated defensive tools such as fail2ban to dynamically ban repeated offenders. Network authentication mechanisms should be hardened through key-based authentication, strong password policies, and two-factor authentication where feasible. Regular patching of SSH, web servers, and any exposed services eliminates the vulnerabilities these automated attacks attempt to exploit. Continuous monitoring and log analysis will help identify any successful intrusion attempts that bypass initial defenses.
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