103.1.64.34 Threat Intelligence and Host Information

General

IP Address
103.1.64.34
IPv4 Address
Location
🇸🇬 Singapore, Singapore
SG
Network
AS10099
China Unicom Global
Threat Score
45/100
Medium Risk
BruteforceBrute-Forceciscocowriedigitaloceanexploitheralding
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
123
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.3036, 103.8554
Network Information
ASN
AS10099
Organization
China Unicom Global
Network
AS10099 China Unicom Global
WHOIS Information
inetnum
103.1.64.0 - 103.1.64.255
netname
UNICOM-HK
descr
China Unicom (Hong Kong) Operations Limited
country
HK
geoloc
1.290270 103.851959
admin-c
NW165-AP
tech-c
NW165-AP
abuse-c
AU99-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-HK-UNICOM
mnt-irt
IRT-UNICOM-HK
last-modified
2024-12-12T03:09:07Z
irt
IRT-UNICOM-HK
address
28/F, Tower 1, The gateway, 25 Canton road, TST, Hong Kong
e-mail
wongnicholas@chinaunicom.cn
abuse-mailbox
hk-abuse@chinaunicom.cn
role
ABUSE UNICOMHK
phone
+852 26268881
nic-hdl
NW165-AP
person
Nicholas Wong
notify
wongnicholas@chinaunicom.cn
route
103.1.64.0/24
origin
AS10099

  • Country: Singapore
  • Network:
  • Noticed: 13 times
  • Protocols Attacked: portscan
  • Countries Attacked: Australia
  • Passive DNS Results: heriten.com

CVEs Detected

CVE-2007-3205 CVE-2013-2220 CVE-2022-31625 CVE-2022-31626 CVE-2022-31628 CVE-2022-31629 CVE-2022-31630 CVE-2022-31631 CVE-2022-37454 CVE-2022-4900 CVE-2023-0567 CVE-2023-0568 CVE-2023-0662 CVE-2023-3247 CVE-2023-3823 CVE-2023-3824 CVE-2024-3566 CVE-2024-5458

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Disclaimer
This page contains threat intelligence information for the IPv4 address 103.1.64.34 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.