118.194.231.130 Threat Intelligence and Host Information

General

IP Address
118.194.231.130
IPv4 Address
Location
🇯🇵 Tokyo, Japan
JP
Network
AS135377
UCLOUD INFORMATION TECHNOLOGY HK LIMITED
Threat Score
40/100
Medium Risk
botddosPortScantsec
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
Japan
City
Tokyo
Region
Tokyo
Coordinates
35.6893, 139.6899
Network Information
ASN
AS135377
Organization
UCLOUD INFORMATION TECHNOLOGY HK LIMITED
Network
AS135377 UCLOUD INFORMATION TECHNOLOGY HK LIMITED
WHOIS Information
inetnum
118.194.228.0 - 118.194.231.255
netname
UCLOUD-HK
descr
UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED
country
JP
org
ORG-UITL1-AP
admin-c
UITH2-AP
tech-c
UITH2-AP
abuse-c
AU164-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-UCLOUD-HK
mnt-lower
MAINT-UCLOUD-HK
mnt-routes
MAINT-UCLOUD-HK
mnt-irt
IRT-UCLOUD-HK
last-modified
2023-03-14T03:52:20Z
irt
IRT-UCLOUD-HK
address
FLAT/RM 603 6/F, LAWS COMMERCIAL PLAZA, 788 CHEUNG SHA WAN ROAD, KL,, Hong Kong
e-mail
u-ipnic@ucloud.cn
abuse-mailbox
hegui@ucloud.cn
organisation
ORG-UITL1-AP
org-name
UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED
org-type
LIR
phone
+000000000
mnt-ref
APNIC-HM
role
UCLOUD INFORMATION TECHNOLOGY HK LIMITED
Attack Logs
Date Target Location Protocol Link
2024-06-20 Toronto, Canada SNMP View Log

  • Country: Japan
  • Network: AS135377 ucloud information technology (hk) limited
  • Noticed: 50 times
  • Protocols Attacked: snmp
  • Countries Attacked: Spain

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2019-16905 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767

Disclaimer
This page contains threat intelligence information for the IPv4 address 118.194.231.130 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.