176.113.245.166 Threat Intelligence - Russia | IP Address Lookup
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General
IP Address
176.113.245.166
Location
🇷🇺 Russia
Network
AS39728
Threat Score
17/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
combined portscan
Geographic Location
Country
Russia
City
Unknown
Region
Rostov Oblast
Coordinates
47.2200, 39.7077
Network Information
ASN
AS39728
Organization
Luganet
Network
AS39728 Luganet
WHOIS Information
inetnum
176.113.224.0 - 176.113.255.255
netname
Luganet
country
RU
geofeed
https://as39728.github.io/geofeed/geofeed.csv
geoloc
48.5335 39.2783
org
ORG-LD123-RIPE
admin-c
LD5945-RIPE
tech-c
LD5945-RIPE
status
ASSIGNED PI
mnt-by
mnt-ru-likhno-1
created
2019-11-19T08:43:36Z
last-modified
2025-05-23T15:34:56Z
organisation
ORG-LD123-RIPE
org-name
Likhno Dmitriy trading as Luganet
reg-nr
Not Applicable
org-type
LIR
address
st. 50 years of the VLKSM, house 4, apartment 297
phone
+74993211735
abuse-c
AR56602-RIPE
mnt-ref
mnt-ru-likhno-1
role
Likhno Dmitriy
nic-hdl
LD5945-RIPE
route
176.113.245.0/24
origin
as39728
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-10 | Vultrmelbournetest Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 176.113.245.166 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.