139.28.222.128 Threat Intelligence - Russia | IP Address Lookup
ipinfopage
General
IP Address
139.28.222.128
Location
🇷🇺 Russia
Network
AS204997
Threat Score
10/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
Anonymous Proxy
Open Ports Detected
22
Geographic Location
Country
Russia
City
Unknown
Region
Moscow Oblast
Coordinates
55.9155, 37.8263
Network Information
ASN
AS204997
Organization
Network Management Ltd
Network
AS204997 Network Management Ltd
WHOIS Information
inetnum
139.28.222.0 - 139.28.222.255
netname
FIRSTSERVER
country
RU
org
ORG-FSSL4-RIPE
geofeed
https://geofeed.first-server.net/fb_geofeed.csv
admin-c
FSD91-RIPE
tech-c
FSD91-RIPE
status
ASSIGNED PA
mnt-by
FIRST-SERVER-MNT
created
2020-03-05T16:58:07Z
last-modified
2026-04-20T21:00:31Z
organisation
ORG-FSSL4-RIPE
org-name
FIRST SERVER, SOCIEDAD LIMITADA
org-type
OTHER
address
42 downstairs, Padro Gimeno st., Alicante
reg-nr
B26949230
abuse-c
ACRO3704-RIPE
mnt-ref
FIRSTBYTE-MNT
role
FIRST SERVER SALES DEPARTMENT
phone
+44 204 579 4905
nic-hdl
FSD91-RIPE
route
139.28.222.0/24
origin
as204997
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-07-24 | Perth, Australia | Proxy | View Log |
| 2026-07-23 | Perth, Australia | Proxy | View Log |
| 2026-07-21 | Perth, Australia | Proxy | View Log |
| 2026-07-20 | Perth, Australia | Proxy | View Log |
| 2026-07-19 | Perth, Australia | Proxy | View Log |
| 2026-07-18 | Perth, Australia | Proxy | View Log |
| 2026-07-17 | Perth, Australia | Proxy | View Log |
| 2026-07-16 | Perth, Australia | Proxy | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 139.28.222.128 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.