Maximum Danger
IP 115.247.46.121, registered to Reliance Jio Infocomm Limited in India, presents a maximum threat level of 10/10 based on 666 abuse reports filed through automated honeypot sensors during October 2025. This address is definitively associated with active hacking operations, including intrusion attempts, vulnerability exploitation and unauthorized access campaigns targeting exposed network services. Despite a moderate 67% confidence score, the sheer volume of independent sensor reports leaves little ambiguity about the hostile intent emanating from this Indian IP address.
Analysis of the available IP reputation data reveals a concentrated burst of malicious activity confined to a single reporting window in October 2025, yielding an activity frequency rating of 0/10. The threat landscape is remarkably uniform: all 666 reports across 20 independent honeypot sensors classify the observed behaviour under the hacking category. The network operator, Reliance Jio Infocomm Limited (ASN AS55836), operates one of India's largest telecommunications infrastructures, suggesting this scanning activity likely originated from a compromised consumer device or residential gateway rather than directly from the ISP's infrastructure. The geographic concentration in India places this source within one of the world's most densely populated threat corridors for automated scanning operations.
The dominant hacking classification encompasses the full spectrum of intrusion tradecraft detectable by honeypot sensors, including credential brute-forcing, exploitation probe delivery and vulnerability scanning against commonly targeted services. While the low activity frequency metric suggests bursts of activity rather than sustained continuous scanning, the accumulated 666 reports indicate persistent, high-volume attack attempts that pose genuine risk to any directly exposed service. Attackers leveraging residential Indian IP space frequently exploit the trust relationships and relaxed filtering common in consumer broadband environments to blend malicious traffic with legitimate regional traffic patterns.
Network defenders should treat this IP address as definitively hostile and implement immediate blocking at the firewall or network edge device level. Deploying automated dynamic blocking tools such as fail2ban can correlate repeated authentication failures across log sources and trigger autonomous defensive responses. Organizations running exposed services should enforce strong multi-factor authentication, enforce robust password policies and ensure all listening services operate behind least-privilege network segmentation. Continuous log monitoring for authentication anomalies and geographic access anomalies from this source will provide early warning if the actor attempts to circumvent blocking measures through proxy or VPN infrastructure.
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