179.43.186.220 Threat Intelligence - Switzerland | IP Address Lookup

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General

IP Address
179.43.186.220
IPv4 Address
Location
🇨🇭 Rümlang, Switzerland
CH
Network
AS51852
Private Layer INC
Threat Score
45/100
Medium Risk
b2bbankingBlocklistbot_scannercowriedigital oceandionaeaenergy
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer, T1190 - Exploit Public-Facing Application
Noticed
9 times
Protocols Attacked
combined portscan
Countries Attacked
China, Germany, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America
Open Ports Detected
2244380
Geographic Location
Country
Switzerland
City
Rümlang
Region
Zurich
Coordinates
47.4505, 8.5255
Network Information
ASN
AS51852
Organization
Private Layer INC
Network
AS51852 Private Layer INC
WHOIS Information
inetnum
179.43.128.0/18
status
allocated
aut-num
N/A
owner
PRIVATE LAYER INC
ownerid
PA-PLIN-LACNIC
responsible
Milciades Garcia
address
Torres De Las Americas, Torre C, 0, Suite 1404, Floor 14
country
PA
phone
+41 435082295 [0000]
owner-c
MIG23
tech-c
MIG23
abuse-c
MIG23
inetrev
179.43.128.0/24
nserver
DNS01.PRIVATELAYER.COM
nsstat
20260913 AA
nslastaa
20260913
created
20131112
changed
20151101
nic-hdl
MIG23
person
Milciades Garcia
e-mail
support@privatelayer.com
Attack Logs
DateTarget LocationProtocolLink
2026-09-02 Vultrtokyo Combined Multiple View Log
2026-08-31 Digitaloceantoronto Combined Multiple View Log
2026-08-31 Vultrmelbournetest Combined Multiple View Log
2026-08-31 Vultrtokyo Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 179.43.186.220 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.