123.58.203.174 Threat Intelligence and Host Information
Sep 18, 2025
ipinfopage
General
IP Address
123.58.203.174
Location
🇮🇳 Mumbai, India
Network
AS135377
Threat Score
40/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
India
City
Mumbai
Region
Maharashtra
Coordinates
19.0748, 72.8856
Network Information
ASN
AS135377
Organization
UCLOUD INFORMATION TECHNOLOGY HK LIMITED
Network
AS135377 UCLOUD INFORMATION TECHNOLOGY HK LIMITED
WHOIS Information
inetnum
123.58.203.0 - 123.58.203.255
netname
UCLOUD-IN
descr
UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED
country
IN
admin-c
UITH2-AP
tech-c
UITH2-AP
abuse-c
AU164-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-UCLOUD-HK
mnt-irt
IRT-UCLOUD-HK
last-modified
2023-03-10T09:48:14Z
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
role
UCLOUD INFORMATION TECHNOLOGY HK LIMITED
phone
+000000000
nic-hdl
UITH2-AP
notify
hegui@ucloud.cn
route
123.58.203.0/24
origin
AS135377
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2025-09-18 | London, UK | SSH | View Log |
- Country: India
- Network:
- Noticed: 13 times
- Protocols Attacked: ssh
- Countries Attacked: Australia
- Passive DNS Results: luckycrash9.vip
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2018-16845 CVE-2019-16905 CVE-2019-20372 CVE-2019-9511 CVE-2019-9513 CVE-2019-9516 CVE-2020-14145 CVE-2020-15778 CVE-2021-23017 CVE-2021-3618 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-44487 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728
Disclaimer
This page contains threat intelligence information for the IPv4 address 123.58.203.174 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.