103.78.0.229 Threat Intelligence and Host Information
May 27, 2026
ipinfopage
General
IP Address
103.78.0.229
Location
Unknown
Network
AS
Threat Score
37/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
Unknown
City
Unknown
Region
Unknown
Coordinates
0.0000, 0.0000
Geographic coordinates not available for this IP.
Network Information
ASN
AS
Organization
Network
WHOIS Information
inetnum
103.78.0.0 - 103.78.1.255
netname
HG-VN
descr
HG-VN
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
2023-10-10T14:16:05Z
irt
IRT-VNNIC-AP
address
HG-VN
phone
+84-965861333
fax-no
+84-24-37821462
e-mail
ceo@royalmediavn.com
abuse-mailbox
hm-changed@vnnic.vn
person
Hoang Thi Nga
nic-hdl
HTN5-AP
route
103.78.0.0/23
origin
AS140810
- Country: Unknown
- Network:
- Noticed: 1 times
- Protocols Attacked: SSH
- Countries Attacked: Australia, Malaysia
- Passive DNS Results: admin.nhadatlamdong.com, cdn.nganneom.com, cdn.nhadatlamdong.com, crm.vestaland.vn, nganneom.com
CVEs Detected
CVE-2007-2243 CVE-2007-2768 CVE-2008-3844 CVE-2016-10009 CVE-2016-20012 CVE-2020-12062 CVE-2020-14145 CVE-2020-15778 CVE-2021-28041 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
103.78.115.103 103.78.141.18 103.78.15.164 103.78.154.20 103.78.166.135 103.78.216.230 103.78.219.193 103.78.54.10 103.78.83.21 103.78.91.163
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This page contains threat intelligence information for the IPv4 address 103.78.0.229 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.