185.169.2.147 Threat Intelligence - United Kingdom | IP Address Lookup

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General

IP Address
185.169.2.147
IPv4 Address
Location
🇬🇧 Slough, United Kingdom
GB
Network
AS216151
S.s Netshop Internet Services Ltd
Threat Score
35/100
Medium Risk
Aggressive-Detectionbrute-forcebruteforceBruteforceBrute-ForceConnection-Resetcredential-attackdigital ocean
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Noticed
7 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
110143253894434655878443993995
Geographic Location
Country
United Kingdom
City
Slough
Region
England
Coordinates
51.5177, -0.6215
Network Information
ASN
AS216151
Organization
S.s Netshop Internet Services Ltd
Network
AS216151 S.s Netshop Internet Services Ltd
WHOIS Information
inetnum
185.169.2.0 - 185.169.2.255
netname
NetshopISP
country
GB
admin-c
CV5316-RIPE
geofeed
https://my.netshop-isp.com.cy/geofeed.csv
tech-c
CV5316-RIPE
org
ORG-SNIS12-RIPE
status
ASSIGNED PA
mnt-by
dagroup
created
2022-08-08T18:30:17Z
last-modified
2026-06-11T11:09:36Z
organisation
ORG-SNIS12-RIPE
org-name
S.S NETSHOP INTERNET SERVICES LTD
reg-nr
HE 217340
org-type
LIR
address
120 Faneromenis Avenue, Imperial Tower 2nd Floor
phone
+35724250808
abuse-c
AR54814-RIPE
mnt-ref
mnt-cy-netshopisp-1
person
Stefano Sordini
nic-hdl
CV5316-RIPE
route
185.169.2.0/24
origin
AS20860
Attack Logs
DateTarget LocationProtocolLink
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 185.169.2.147 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.