150.95.90.244 Threat Intelligence and Host Information

General

IP Address
150.95.90.244
IPv4 Address
Location
🇸🇬 Singapore
SG
Network
AS135161
GMO-Z com NetDesign Holdings Co., Ltd.
Threat Score
45/100
Medium Risk
2026-02Automatedbruteforceciscoconpotcowriedionaeafatt
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
1433
Geographic Location
Country
Singapore
City
Unknown
Region
Unknown
Coordinates
1.3673, 103.8014
Network Information
ASN
AS135161
Organization
GMO-Z com NetDesign Holdings Co., Ltd.
Network
AS135161 GMO-Z com NetDesign Holdings Co., Ltd.
WHOIS Information
inetnum
150.95.90.0 - 150.95.90.255
netname
ZCOM-THAI
descr
country
JP
admin-c
GIIA3-AP
tech-c
GIIA3-AP
abuse-c
AG1198-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-GMOINTERNETINC-JP
mnt-irt
IRT-GMOINTERNETINC-JP
last-modified
2022-08-22T00:30:29Z
irt
IRT-GMOINTERNETINC-JP
address
Cerulean Tower 4-14F, 26-1 Sakuragaokacho, Shibuya-ku Tokyo 150-8512
e-mail
abuse@gmo.jp
abuse-mailbox
abuse@internet.gmo
role
GMO Internet Inc administrator
phone
+81354562555
nic-hdl
GIIA3-AP

  • Country: Singapore
  • Network:
  • Noticed: 18 times
  • Protocols Attacked: portscan
  • Countries Attacked: Australia
  • Passive DNS Results: host.siamtoyodenki.co.th siamtoyodenki.co.th www.siamtoyodenki.co.th

Malware Detected on Host

Count: 1 1bfd695ea63d688e68ce64284ecf9a18fc1865e31b0e59de0266447060c82e79

CVEs Detected

CVE-2007-4723 CVE-2009-0796 CVE-2009-1390 CVE-2009-2299 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2019-0190

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Disclaimer
This page contains threat intelligence information for the IPv4 address 150.95.90.244 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.