221.120.6.170 Threat Intelligence and Host Information

General

IP Address
221.120.6.170
IPv4 Address
Location
🇹🇼 Taiwan
TW
Network
AS
Threat Score
41/100
Medium Risk
BruteforceBrute-ForcecowriemalicioussftpsshSSH
Attack Intelligence
Open Ports Detected
1883
Geographic Location
Country
Taiwan
City
Unknown
Region
Unknown
Coordinates
24.0000, 121.0000
Network Information
ASN
AS
Organization
Network
WHOIS Information
inetnum
221.120.0.0 - 221.120.31.255
netname
EMOME-NET
descr
Taipei Taiwan
country
TW
admin-c
CFK7-TW
tech-c
CFK7-TW
abuse-c
AT939-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-TW-TWNIC
mnt-irt
IRT-HINET-AP
last-modified
2009-10-09T04:30:10Z
irt
IRT-HINET-AP
address
Taipei, Taiwan, 106
phone
+886-2-2344-2803
e-mail
chinhu@cht.com.tw
abuse-mailbox
hostmaster@twnic.tw
role
CHT-Mobile Business Group
nic-hdl
CBG5-AP
fax-no
+886-2-2394-0814
notify
hostmaster@twnic.net.tw
changed
network-adm@hinet.net 20040920
Attack Logs
Date Target Location Protocol Link
2025-12-12 London, UK SSH View Log

  • Country: Taiwan
  • Network:
  • Noticed: 3 times
  • Protocols Attacked: ssh

CVEs Detected

CVE-2007-3205 CVE-2012-6708 CVE-2013-2220 CVE-2015-9251 CVE-2019-11358 CVE-2020-11022 CVE-2020-11023 CVE-2020-7656 CVE-2023-44487 CVE-2024-11233 CVE-2024-11234 CVE-2024-11236 CVE-2024-1874 CVE-2024-2408 CVE-2024-3096 CVE-2024-3566 CVE-2024-4577 CVE-2024-5458 CVE-2024-5585 CVE-2024-8925 CVE-2024-8926 CVE-2024-8927 CVE-2024-8929 CVE-2024-8932 CVE-2024-9026 CVE-2025-1217 CVE-2025-1219 CVE-2025-1220 CVE-2025-1734 CVE-2025-1735 CVE-2025-1736 CVE-2025-1861 CVE-2025-23419 CVE-2025-6491

Disclaimer
This page contains threat intelligence information for the IPv4 address 221.120.6.170 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.