103.144.245.170 Threat Intelligence and Host Information

General

IP Address
103.144.245.170
IPv4 Address
Location
🇭🇰 Hong Kong
HK
Network
AS138152
YISU CLOUD LTD
Threat Score
50/100
Medium Risk
abuseipdbbruteforceBruteforceBrute-Forceport22ssh
Attack Intelligence
MITRE ATT&CK Techniques
T1046 - Network Service Scanning, T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
Hong Kong
City
Unknown
Region
Unknown
Coordinates
22.2578, 114.1657
Network Information
ASN
AS138152
Organization
YISU CLOUD LTD
Network
AS138152 YISU CLOUD LTD
WHOIS Information
inetnum
103.144.244.0 - 103.144.245.255
netname
PROSPUR-HK
descr
PROSPUR INT’L CO., LIMITED
country
HK
org
ORG-PICL4-AP
admin-c
PICL4-AP
tech-c
PICL4-AP
abuse-c
AP741-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-PROSPUR-HK
mnt-lower
MAINT-PROSPUR-HK
mnt-routes
MAINT-PROSPUR-HK
mnt-irt
IRT-PROSPUR-HK
last-modified
2021-11-17T07:05:05Z
irt
IRT-PROSPUR-HK
address
EURO TRADE CTR 21-23 DES BOEUX RD CENTRAL, HONGKONG HONGKONG 999077
e-mail
info@prospuridc.com
abuse-mailbox
2869590200@qq.com
organisation
ORG-PICL4-AP
org-name
PROSPUR INT’L CO., LIMITED
org-type
LIR
phone
+852-6734-0830
mnt-ref
APNIC-HM
role
PROSPUR INTL CO LIMITED administrator
Attack Logs
Date Target Location Protocol Link
2024-07-25 London, UK SSH View Log

  • Country: Hong Kong
  • Network: AS138152 yisu cloud ltd
  • Noticed: 7 times
  • Protocols Attacked: ssh
  • Countries Attacked: Australia, United States of America

CVEs Detected

CVE-2007-2768 CVE-2008-3844 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

Disclaimer
This page contains threat intelligence information for the IPv4 address 103.144.245.170 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.