103.61.123.60 Threat Intelligence and Host Information

General

IP Address
103.61.123.60
IPv4 Address
Location
Unknown
Network
AS
Threat Score
10/100
Low Risk
Attack Intelligence
Open Ports Detected
15672
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
103.61.122.0 - 103.61.123.255
netname
H2-VN
descr
92, Lane 168, Kim Giang Street, Dai Kim Ward, Hoang Mai District, Ha Noi City, Vietnam
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
2022-12-29T08:37:32Z
irt
IRT-VNNIC-AP
address
H2-VN
phone
+84966830865
fax-no
+84-24-37821462
e-mail
canhvx@h2vn.vn
abuse-mailbox
hm-changed@vnnic.vn
person
Vu Xuan Canh
nic-hdl
VXC1-AP

  • Country:
  • Network:
  • Noticed: times
  • Protocols Attacked: Anonymous Proxy

Malware Detected on Host

Count:

CVEs Detected

CVE-2009-1390 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 CVE-2014-8180 CVE-2018-0734 CVE-2018-0735 CVE-2019-0190 CVE-2019-1543 CVE-2019-1547 CVE-2019-1549 CVE-2019-1551 CVE-2019-1552 CVE-2019-1563 CVE-2020-1971 CVE-2021-20330 CVE-2021-23840 CVE-2021-23841 CVE-2021-32036 CVE-2021-32040 CVE-2021-3449 CVE-2021-3711 CVE-2021-3712 CVE-2021-4160 CVE-2022-0778 CVE-2022-1292 CVE-2022-2068 CVE-2022-2097 CVE-2022-4304 CVE-2022-4450 CVE-2023-0215 CVE-2023-0286 CVE-2023-0464 CVE-2023-0465 CVE-2023-0466 CVE-2023-1409 CVE-2023-2650 CVE-2023-3446 CVE-2023-3817 CVE-2023-4807 CVE-2023-5678 CVE-2024-0727 CVE-2024-1351

Disclaimer
This page contains threat intelligence information for the IPv4 address 103.61.123.60 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.