59.126.134.104 Threat Intelligence and Host Information
Aug 03, 2024
ipinfopage
General
IP Address
59.126.134.104
Location
🇹🇼 Nantou City, Taiwan
Network
AS3462
Threat Score
45/100
Attack Intelligence
Open Ports Detected
137
Geographic Location
Country
Taiwan
City
Nantou City
Region
Nantou
Coordinates
23.9052, 120.6825
Network Information
ASN
AS3462
Organization
Data Communication Business Group
Network
AS3462 Data Communication Business Group
WHOIS Information
inetnum
59.126.0.0 - 59.126.255.255
netname
HINET-NET
descr
Taipei Taiwan
country
TW
admin-c
HN184-TW
tech-c
HN184-TW
abuse-c
AT939-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-TW-TWNIC
mnt-irt
IRT-TWNIC-AP
last-modified
2011-08-22T06:04:01Z
irt
IRT-TWNIC-AP
address
Taipei Taiwan
e-mail
network-adm@hinet.net
abuse-mailbox
hostmaster@twnic.net.tw
role
ABUSE TWNICAP
phone
+886-2-2322-3495
nic-hdl
HN184-TW
person
HINET Network-Adm
fax-no
+886-2-2344-2513
changed
hostmaster@twnic.net 20130307
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2024-08-03 | Vultrmadrid | TELNET | View Log |
- Country: Taiwan
- Network: AS3462 data communication business group
- Noticed: 12 times
- Protocols Attacked: telnet
- Countries Attacked: Poland, United States of America
CVEs Detected
CVE-2007-2768 CVE-2007-3205 CVE-2008-3844 CVE-2013-2220 CVE-2015-9253 CVE-2016-20012 CVE-2017-7272 CVE-2017-7963 CVE-2017-8923 CVE-2018-19395 CVE-2018-19396 CVE-2018-19518 CVE-2018-19520 CVE-2018-19935 CVE-2018-20783 CVE-2019-16905 CVE-2019-6977 CVE-2019-9020 CVE-2019-9021 CVE-2019-9023 CVE-2019-9024 CVE-2019-9637 CVE-2019-9638 CVE-2019-9639 CVE-2019-9641 CVE-2020-11579 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2022-31628 CVE-2022-31629 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2024-4577
Disclaimer
This page contains threat intelligence information for the IPv4 address 59.126.134.104 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.