185.200.149.68 Threat Intelligence - Italy | IP Address Lookup
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General
IP Address
185.200.149.68
Location
🇮🇹 Italy
Network
AS205704
Threat Score
35/100
Attack Intelligence
Noticed
15 times
Protocols Attacked
combined portscan ssh
Passive DNS
webmail.amapspa.it
Geographic Location
Country
Italy
City
Unknown
Region
Unknown
Coordinates
43.1479, 12.1097
Network Information
ASN
AS205704
Organization
Amap SPA
Network
AS205704 Amap SPA
WHOIS Information
inetnum
185.200.148.0 - 185.200.149.255
netname
amap-client
country
IT
admin-c
GM20709-RIPE
tech-c
CB16353-RIPE
status
ASSIGNED PA
mnt-by
it-amapspa-1-mnt
created
2018-10-08T14:31:28Z
last-modified
2024-02-23T12:29:09Z
person
Stefano Centineo
address
via Volturno 2
phone
+39091279289
nic-hdl
CB16353-RIPE
route
185.200.149.0/24
origin
AS205704
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | Toronto, Canada | SSH | View Log |
| 2026-09-03 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-03 | Toronto, Canada | SSH | View Log |
| 2026-09-02 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-02 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Digitaloceantoronto Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 185.200.149.68 and was generated either as a result of observed malicious activity or as an information gathering exercise to assist with enrichment of security events and context. All information is gathered passively through aggregation of public sources, or observations through activity upon honeynets. The host score is calculated through a series of statistically weighted values and machine learning which takes into account metadata such as host information, frequency, volume and global distribution of malicious activity, association with other known malicious hosts or networks, proxying or anonymising behaviour such as with tor exit nodes, residential proxies or VPN services, and many other attributes. These values are historical and indicative only, and should not be taken to be an accurate representation of the users, businesses or networks in which they reside.