180.94.155.108 Threat Intelligence - Macao | IP Address Lookup

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General

IP Address
180.94.155.108
IPv4 Address
Location
🇲🇴 Macao
MO
Network
AS4609
Companhia de Telecomunicacoes de Macau S...
Threat Score
35/100
Medium Risk
blacklistbotnetbruteforcecowriedionaeafattfortigatehoneytrap
Attack Intelligence
Noticed
19 times
Protocols Attacked
combined portscan telnet
Open Ports Detected
23
Geographic Location
Country
Macao
City
Unknown
Region
Unknown
Coordinates
22.1592, 113.5638
Network Information
ASN
AS4609
Organization
Companhia de Telecomunicacoes de Macau SARL
Network
AS4609 Companhia de Telecomunicacoes de Macau SARL
WHOIS Information
inetnum
180.94.128.0 - 180.94.191.255
netname
CTM-MO
descr
CTM
country
MO
geoloc
22.200559616089 113.54611206055
org
ORG-CDTD1-AP
admin-c
CN448-AP
tech-c
CM2469-AP
abuse-c
AC2161-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-CTM-MO
mnt-routes
MAINT-CTM-MO
mnt-irt
IRT-CTM-MO
last-modified
2021-01-18T03:52:15Z
irt
IRT-CTM-MO
address
Rua da Lagos, Telecentro
e-mail
NMC_Internet_LeasedLine@ctm.com.mo
abuse-mailbox
NMC_Internet_LeasedLine@ctm.com.mo
organisation
ORG-CDTD1-AP
org-name
Companhia de Telecomunicacoes de Macau
org-type
LIR
phone
+853-891-2211
fax-no
+853-891-2933
Attack Logs
DateTarget LocationProtocolLink
2026-10-02 Vultrtokyo Combined Multiple View Log
2026-10-02 Vultrtokyo TELNET View Log
2026-10-01 Vultrtokyo TELNET View Log
2026-10-01 Vultrtokyo Combined Multiple View Log
2026-09-28 Vultrtokyo TELNET View Log
2026-09-28 Vultrtokyo Combined Multiple View Log
2026-09-25 Vultrtokyo Combined Multiple View Log
2026-09-25 Vultrtokyo TELNET View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 180.94.155.108 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.