103.90.227.157 Threat Intelligence and Host Information

General

IP Address
103.90.227.157
IPv4 Address
Location
🇻🇳 Vietnam
VN
Network
AS135905
VIETNAM POSTS AND TELECOMMUNICATIONS GRO...
Threat Score
41/100
Medium Risk
cowriedigitaloceandionaeafatthoneytrapmailoneyp0f
Attack Intelligence
Open Ports Detected
10002
Geographic Location
Country
Vietnam
City
Unknown
Region
Unknown
Coordinates
16.1667, 107.8333
Network Information
ASN
AS135905
Organization
VIETNAM POSTS AND TELECOMMUNICATIONS GROUP
Network
AS135905 VIETNAM POSTS AND TELECOMMUNICATIONS GROUP
WHOIS Information
inetnum
103.90.224.0 - 103.90.227.255
netname
VNXCLOUD-VN
descr
No 14, Song Thao street, 2 ward, Tan Binh district, Ho Chi Minh City
admin-c
NTTT1-AP
tech-c
NTTT1-AP
country
VN
mnt-by
MAINT-VN-VNNIC
mnt-lower
MAINT-VN-VNNIC
mnt-irt
IRT-VNNIC-AP
status
ALLOCATED PORTABLE
last-modified
2017-11-19T09:45:25Z
irt
IRT-VNNIC-AP
address
VNXCLOUD-VN
phone
+84-28-73082929
fax-no
+84-24-37821462
e-mail
noc@vietnix.cloud
abuse-mailbox
hm-changed@vnnic.vn
person
Luu Duc Tri
nic-hdl
LDT7-AP
Attack Logs
Date Target Location Protocol Link
2026-09-04 Digitaloceantoronto-Combined MULTIPLE View Log

  • Country: Vietnam
  • Network:
  • Noticed: 3 times
  • Protocols Attacked: combined portscan

CVEs Detected

CVE-2021-23017 CVE-2021-3618 CVE-2023-44487 CVE-2025-23419 CVE-2025-50076 CVE-2025-50077 CVE-2025-50078 CVE-2025-50079 CVE-2025-50080 CVE-2025-50081 CVE-2025-50082 CVE-2025-50083 CVE-2025-50084 CVE-2025-50085 CVE-2025-50086 CVE-2025-50087 CVE-2025-50091 CVE-2025-50092 CVE-2025-50093 CVE-2025-50094 CVE-2025-50096 CVE-2025-50097 CVE-2025-50098 CVE-2025-50099 CVE-2025-50100 CVE-2025-50101 CVE-2025-50102 CVE-2025-50104 CVE-2026-21964 CVE-2026-34317 CVE-2026-34318 CVE-2026-34319

Disclaimer
This page contains threat intelligence information for the IPv4 address 103.90.227.157 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.