Maximum Danger
IP 194.113.236.217, allocated to MTS PJSC in Russia (ASN AS60490), presents a critical threat with a maximum threat level rating of 10/10 and has accumulated 259 separate abuse reports from automated honeypot sensors. The address was first flagged in September 2025 and remains active in reporting systems through the same month, with the dominant threat category being general hacking activity alongside targeted SSH intrusion attempts.
Detection data from 20 independent automated honeypot sensors confirmed 259 distinct reports over a compressed September 2025 timeframe, yielding a 60% confidence score in the assessed threat level. The majority of attributed activity (18 reports) falls under general hacking categories encompassing intrusion attempts and exploitation vectors, while 2 reports specifically document SSH brute-force credential guessing behavior. Despite a modest activity frequency score of 0/10, the volume of distinct sensor detections across multiple sources confirms persistent, automated scanning behavior originating from this Russian infrastructure.
Hacking activity originating from IP 194.113.236.217 indicates systematic attempts to identify and exploit vulnerabilities in exposed services, while the documented SSH brute-force pattern demonstrates credential-guessing campaigns targeting secure shell access on servers. The volume of reports across diverse honeypot sensors suggests this address participates in coordinated scanning infrastructure, systematically probing internet-facing systems for weak authentication or unpatched vulnerabilities. Organizations with exposed SSH services face elevated risk of unauthorized access attempts should these campaigns successfully identify default or weak credentials.
Defensive measures should include immediate blocking of this IP at network perimeters and firewall rules, particularly for any services with SSH exposure. Implementing key-based authentication exclusively, disabling root login, and changing default SSH port numbers significantly reduces brute-force success probability. Deploying intrusion detection systems and automated response tools such as fail2ban can automatically ban repeating offenders after configurable threshold failures. Maintaining comprehensive logging of authentication attempts and reviewing access patterns regularly enables rapid identification of compromise indicators from scanning campaigns.
