36.37.154.144 Threat Intelligence - Cambodia | IP Address Lookup

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General

IP Address
36.37.154.144
IPv4 Address
Location
🇰🇭 Phnom Penh, Cambodia
KH
Network
AS38623
ISP/IXP IN CAMBODIA WITH THE BEST VERVIC...
Threat Score
5/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
Cambodia
City
Phnom Penh
Region
Phnom Penh
Coordinates
11.5583, 104.9121
Network Information
ASN
AS38623
Organization
ISP/IXP IN CAMBODIA WITH THE BEST VERVICE IN THERE.
Network
AS38623 ISP/IXP IN CAMBODIA WITH THE BEST VERVICE IN THERE.
WHOIS Information
inetnum
36.37.144.0 - 36.37.159.255
netname
VIETTEL-CAMBODIA
descr
VIETTEL (CAMBODIA) PTE, LTD.
country
KH
admin-c
VAT6-AP
tech-c
VAT6-AP
abuse-c
AV489-AP
status
ALLOCATED NON-PORTABLE
notify
tuva1@Viettel.com.vn
mnt-by
MAINT-KH-VIETTELCAMBODIA
mnt-lower
MAINT-KH-VIETTELCAMBODIA
mnt-routes
MAINT-KH-VIETTELCAMBODIA
mnt-irt
IRT-VIETTEL-CAMBODIA-KH
last-modified
2021-01-20T06:45:10Z
irt
IRT-VIETTEL-CAMBODIA-KH
e-mail
yennp@viettel.com.vn
abuse-mailbox
yennp@viettel.com.vn
role
ABUSE VIETTELCAMBODIAKH
phone
+000000000
nic-hdl
AV489-AP
person
Vo Anh Tu
route
36.37.154.0/24
origin
AS38623
Attack Logs
DateTarget LocationProtocolLink
2026-10-24 Webexploit Mitre T1593 Ip List 2026 10 24 Multiple View Log
2026-10-24 Webexploit Fake Googlebot Ip List 2026 10 24 Multiple View Log
2026-10-21 Webexploit Mitre T1593 Ip List 2026 10 21 Multiple View Log
2026-10-21 Webexploit Fake Googlebot Ip List 2026 10 21 Multiple View Log
2026-07-17 Webexploit Mitre T1593 Ip List 2026 07 17 Multiple View Log
2026-07-17 Webexploit Fake Googlebot Ip List 2026 07 17 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 36.37.154.144 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.