Elevated Risk
IP address 167.94.146.52 is a high-risk address operating from United States network infrastructure, with a threat level of 8 out of 10 and 564 total abuse reports filed against it. The dominant activity detected is general hacking activity, including intrusion attempts and exploitation of vulnerable services, alongside a smaller volume of malware-related behavior. With an activity frequency rated 8 out of 10 and a confidence score of 86 percent, this IP has been consistently flagged by automated honeypot sensors over a sustained period, making it a credible and ongoing threat to any exposed services.
The IP is registered to ASN AS398705 under the operator CENSYS-ARIN-02 and has been generating abuse reports from August 2025 through June 2026, spanning approximately ten months of continuous hostile activity. All 20 report sources contributing to this assessment are automated honeypot sensors, which detect and log connection attempts, exploit activity and malware-related behavior. The sheer volume of reports, averaging roughly 28 per reporting sensor, combined with the 8 out of 10 activity frequency rating, indicates this address is not a transient or opportunistic scanner but rather a persistent actor actively probing target networks on a regular basis.
The hacking activity associated with this IP encompasses unauthorized access attempts, exploitation of vulnerabilities in exposed services and other intrusion techniques designed to compromise target systems. When such activity originates from a system flagged as an exploited host, it suggests the attacking infrastructure itself may be a compromised machine being leveraged without the owner's knowledge, which is a common characteristic of botnets or residential proxy networks. For network defenders, this pattern translates to concrete risk of credential compromise, exploitation of unpatched software and potential lateral movement within a network if initial access is gained.
Site operators should block 167.94.146.52 at the network perimeter using firewall rules or intrusion prevention systems, and implement aggressive rate-limiting on authentication endpoints to disrupt brute-force patterns. Authentication hardening measures such as multi-factor authentication, strong password policies and account lockout thresholds will significantly reduce the effectiveness of intrusion attempts. Regular patching of internet-facing services and deployment of detection signatures for the observed attack patterns will further harden defenses. Tools such as fail2ban can automate dynamic blocking based on honeypot and log-derived threat intelligence, providing adaptive protection against this persistent source.
SE 
MU 
RO 
IR 
GB