Severe Risk
IP 77.50.63.250 is a high-risk Russian address with a threat level of 10/10 that has been linked to SSH brute-force attacks, representing a serious credential-compromise threat to any exposed SSH services. The address, operated by Megasvyaz LLC under ASN AS34602, generated 176 abuse reports from automated honeypot sensors, with SSH-related activity dominating the most recent reporting period in October 2025. Despite the very high threat classification, the activity frequency metric of 0/10 suggests these attacks occur in concentrated bursts rather than continuous scanning, which is consistent with targeted credential-guessing campaigns that are intermittent but persistent over time.
The volume of reports associated with IP 77.50.63.250 is substantial at 176 total incidents, all sourced from automated honeypot infrastructure that detects and records unauthorized connection attempts. The 20 most recent SSH-specific reports indicate the address has been actively probing authentication mechanisms on target systems within the October 2025 reporting window. The 64% confidence score reflects some uncertainty in attribution, which is typical for automated detection systems, but the sheer report volume and maximum threat rating make this address clearly problematic. Geographic context places the source in Russia, which is relevant for organisations with strict geo-based access controls or compliance requirements around certain traffic origins.
SSH brute-force activity, the dominant threat category associated with this IP address, involves systematic attempts to guess SSH credentials by iterating through common username-password combinations or known vulnerable authentication configurations. Successful compromise of an SSH service grants attackers persistent remote access to the underlying server, enabling data exfiltration, lateral movement within networks, or deployment of secondary payloads. The real-world risk is severe because SSH servers exposed to the internet are high-value targets, and automated tooling allows attackers to scale credential-guessing across thousands of addresses efficiently. Even failed attempts consume server resources and generate security-event noise that can mask more sophisticated intrusion activity.
