Substantial Risk
IP 185.218.138.14 presents a high-risk threat profile with a 7/10 threat level and 91% confidence score, documented through 1,728 total abuse reports primarily detailing port scan activity detected by automated honeypot sensors over a four-month period from March to June 2026.
The address is registered to a United States network operator, Vlad Cojuhari, operating under AS205997. With an activity frequency rated 8/10, this IP demonstrates sustained, deliberate reconnaissance behaviour rather than opportunistic or fleeting probe attempts. All 1,728 reports originated from automated honeypot sensors, indicating systematic scanning infrastructure rather than manual probing. The dominant threat category across recent reports is port scan activity specifically targeting CiscoASA firewall appliances, a common perimeter security device in enterprise environments.
Port scanning constitutes early-stage reconnaissance that maps exposed services and potential entry points before launching more targeted attacks. The concentrated focus on CiscoASA devices suggests the operator possesses specific knowledge of configuration weaknesses or known vulnerabilities in that platform. A threat level of 7/10 combined with 1,728 reports signals persistent, methodical probing that extends well beyond casual network exploration. This reconnaissance phase poses an indirect but genuine risk: successful identification of exposed or misconfigured services could enable subsequent intrusion, credential compromise or service disruption.
Network administrators should implement firewall rules that minimise exposed services, block this address at the network perimeter and monitor for similar scanning patterns from adjacent IP ranges. Deploying automated blocking tools such as fail2ban can reduce the effectiveness of sustained reconnaissance. Strong authentication requirements on any exposed services and regular review of CiscoASA configurations for hardening opportunities will further reduce exploitability. Continuous traffic analysis to detect reconnaissance patterns provides an additional layer of early warning.
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