Severe Risk
Threat level 10/10 for IP 137.132.211.22. Analysis of 6 reports confirms persistent malicious behavior.
High-confidence (71%) threat assessment indicates advanced persistent threat characteristics.
Automated assessment based on aggregated, anonymized threat data
Threat level 10/10 for IP 137.132.211.22. Analysis of 6 reports confirms persistent malicious behavior.
High-confidence (71%) threat assessment indicates advanced persistent threat characteristics.
SSH attacks attempt to gain server access through password guessing or exploitation of SSH vulnerabilities.
Use key-based authentication, change default ports, implement fail2ban, and disable root login.
Steady malicious activity over 3 days indicates persistent threat actor operations.
This IP is hosted on a network (ASN 7472) with generally good reputation. The ISP NUS Information Technology maintains standard security practices.
Block immediately. This IP demonstrates capability for significant infrastructure damage.
| Date | Categories | Source | Confidence |
|---|---|---|---|
| New | SSH Brute-Force | Community | 75% |
| New | Hacking SSH Exploited Host | Honeypot x3 | 75% |
| SSH Brute-Force | Community | 75% | |
| Hacking SSH Exploited Host | Honeypot x3 | 75% | |
| Hacking SSH | Honeypot x2 | 75% | |
| SSH Brute-Force | Community | 75% | |
| Hacking SSH | Honeypot x2 | 75% |
How this IP compares to others in our threat intelligence database
This IP is more threatening than 99% of all IPs in our database.
Top 10% Most DangerousCompared against 1,004,889 reported IPs worldwide
Compared against 13,176 IPs in SG
Daily report activity over the last 30 days showing patterns and peaks.
Evolution of threat level over time based on reported categories and frequency.
Distribution of threat categories reported over time.
Activity patterns showing when this IP is most active during the day and week.
Peak activity at 08:00 with 2 reports
916,384 threat incidents tracked globally • Last 24h: 215,348 Logs
+40 more countries
Other IPs associated with this address through network or behavioral similarity
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IPs with similar threat level and confidence scores.