27.254.145.194 Threat Intelligence and Host Information
Sep 04, 2025
ipinfopage
General
IP Address
27.254.145.194
Location
🇹🇭 Thailand
Network
AS9891
Threat Score
19/100
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
Thailand
City
Unknown
Region
Unknown
Coordinates
13.7442, 100.4608
Network Information
ASN
AS9891
Organization
CS LOXINFO Public Company Limited.
Network
AS9891 CS LOXINFO Public Company Limited.
WHOIS Information
inetnum
27.254.145.0 - 27.254.145.255
netname
idc-csloxinfo
descr
CS Loxinfo Public Company Limited
country
TH
admin-c
LIA1-AP
tech-c
LIA1-AP
abuse-c
AC1613-AP
status
ASSIGNED NON-PORTABLE
mnt-by
LOXINFO-IS
mnt-irt
IRT-CSLOXINFO-TH
last-modified
2025-05-29T00:50:22Z
irt
IRT-CSLOXINFO-TH
address
Ratchadapisek Road, Huai Khwang, Bangkok 10310
phone
+66-2263-8000
fax-no
+66-2263-8790
e-mail
ip_admin@csloxinfo.net
abuse-mailbox
csl-ip-admin@ais.co.th
role
Loxinfo IP Admins
nic-hdl
LIA1-AP
route
27.254.128.0/19
origin
AS9891
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2025-09-04 | Vultrparis | SSH | View Log |
- Country: Thailand
- Network:
- Noticed: 2 times
- Protocols Attacked: ssh
- Passive DNS Results: sv1.ktsuper.co.th www.ktsuper.co.th smtp.ktsuper.co.th ktsuper.co.th
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728
Disclaimer
This page contains threat intelligence information for the IPv4 address 27.254.145.194 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.