Maximum Danger
IP address 132.248.247.237, registered to Universidad Nacional Autonoma de Mexico in Mexico, presents a maximum threat level of 10/10 based on 209 total abuse reports submitted to automated honeypot sensors over September 2025, representing a high-confidence assessment of malicious activity despite the 61% confidence score reflecting inherent uncertainty in automated threat attribution.
The IP was flagged across 20 distinct honeypot sensors with a combined total of 209 reports, indicating sustained scanning activity rather than isolated probing. Dominant threat categories recorded against this address include 14 general hacking intrusion attempts and 6 specifically identified SSH brute-force login attempts, with sanitized event logs confirming SSH brute-force behavior patterns. Notably, the activity frequency metric registers at 0/10, suggesting the most recent engagement with honeypot infrastructure occurred at the boundary of the September 2025 reporting window with no confirmed activity extending beyond that period. The IP operates within AS278, an academic network allocation that, while suggesting legitimate research or educational use, has been definitively associated with unauthorized access attempts against external targets.
SSH brute-force attacks represent a concrete, persistent threat to any exposed server management interfaces. Attackers systematically attempt credential combinations against port 22 or alternative SSH listeners, exploiting weak or default passwords to gain shell access. Successful authentication grants adversaries remote command execution, potential data exfiltration, and a pivot point for lateral movement within compromised networks. General hacking activity broader than SSH enumeration compounds this risk, indicating the operator may conduct multi-vector reconnaissance or exploit scanning alongside credential attacks.
Site administrators should block this IP at the network perimeter firewall immediately and monitor logs for any matching inbound connection attempts. For exposed SSH services, enforce key-based authentication exclusively, change the default listening port, and disable direct root login. Deploy automated threat-response tools such as fail2ban to dynamically ban IPs exhibiting brute-force patterns, and implement rate-limiting on authentication endpoints. Regular auditing of authentication logs and enforcement of strong, unique credentials across all SSH-accessible systems will significantly reduce exposure to this class of attack.
