Significant Threat
IP 103.252.88.228 is a high-risk address operating from Germany under AS44486 (SYNLINQ) that presents a concrete threat to any exposed network services, with a threat level of 8 out of 10 and a substantial body of 1,077 abuse reports accumulated between January and March 2026. The IP has been flagged exclusively for hacking activity, with automated honeypot sensors recording 20 recent incidents attributed to this single source. While the reported activity frequency metric of 0 out of 10 suggests the most aggressive scanning may have subsided, the sheer volume of historical reports indicates a persistent, deliberate threat actor rather than opportunistic noise.
The detection data reveals TCP-based intrusion activity consistent with unauthorized access attempts. Suricata intrusion-detection systems flagged anomalous TCP three-way handshake patterns — specifically wrong sequence and acknowledgment numbers — indicating the source is generating malformed connection requests designed to probe firewall and service configurations or exploit stateful inspection vulnerabilities. This behavior aligns with the broader hacking category, which encompasses vulnerability probing, exploit delivery, and credential-based intrusion attempts. The concentration of detection through automated honeypot sensors confirms this is automated, systematic scanning rather than human-driven manual attacks, suggesting the IP may be part of a botnet or coordinated scanning infrastructure.
For network operators and security teams, this IP should be treated as malicious and blocked at the network perimeter. Implementing blocklists at the firewall or edge router level will prevent any incoming connection attempts from reaching sensitive services. Deploying or strengthening fail2ban or equivalent log-based automation can dynamically ban sources generating suspicious patterns. Ensuring all exposed services are fully patched, employing strong authentication mechanisms, and maintaining active monitoring of authentication logs for brute-force patterns will reduce exposure to the intrusion techniques this address employs.
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