154.83.12.172 Threat Intelligence and Host Information

General

IP Address
154.83.12.172
IPv4 Address
Location
🇭🇰 Central, Hong Kong
HK
Network
AS142403
YISU CLOUD LTD
Threat Score
37/100
Medium Risk
Brute-ForceBruteforceSSHbruteforcebruteforcecowrieportscan
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
21
Geographic Location
Country
Hong Kong
City
Central
Region
Central and Western District
Coordinates
22.2908, 114.1501
Network Information
ASN
AS142403
Organization
YISU CLOUD LTD
Network
AS142403 YISU CLOUD LTD
WHOIS Information
inetnum
154.83.12.0 - 154.83.12.255
netname
Yisu_Cloud_Ltd
descr
Yisu Cloud Ltd
country
HK
admin-c
CIS1-AFRINIC
tech-c
CIS1-AFRINIC
status
ASSIGNED PA
mnt-by
LARUS-SERVICE-MNT
parent
154.80.0.0 - 154.95.255.255
person
Cloud Innovation Support
address
Seychelles
phone
tel:+248-4-610-795
nic-hdl
CIS1-AFRINIC
abuse-mailbox
abuse@cloudinnovation.org
route
154.83.12.0/24
origin
AS142403

  • Country: Hong Kong
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Countries Attacked: Australia
  • Passive DNS Results: efwkou.com, img.085p.com, kibiex.store, service.ucidea.net, ucidea.net, www.kibiex.store, xunleishop.com, zoadhnagroup.info

CVEs Detected

CVE-2007-2243 CVE-2007-2768 CVE-2008-3844 CVE-2016-10009 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728 CVE-2026-35385 CVE-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414

Similar IP Addresses Detected

154.83.11.80 154.83.17.59 154.83.197.165 154.83.197.22 154.83.2.115 154.83.2.25 154.83.2.96 154.83.29.70 154.83.43.5 154.83.9.42

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Disclaimer
This page contains threat intelligence information for the IPv4 address 154.83.12.172 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.