90.180.197.128 Threat Intelligence and Host Information
Nov 12, 2025
ipinfopage
General
IP Address
90.180.197.128
Location
🇨🇿 Sezemice, Czechia
Network
AS5610
Threat Score
47/100
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
2222
Geographic Location
Country
Czechia
City
Sezemice
Region
Pardubicky kraj
Coordinates
50.0625, 15.8555
Network Information
ASN
AS5610
Organization
O2 Czech Republic, a.s.
Network
AS5610 O2 Czech Republic, a.s.
WHOIS Information
inetnum
90.180.197.0 - 90.180.197.255
netname
NEXTEL-XDSL
descr
CZ.CZNET
country
CZ
admin-c
HVJI1-RIPE
tech-c
HVJI1-RIPE
status
ASSIGNED PA
mnt-by
AS5610-MTN
created
2010-12-08T13:30:29Z
last-modified
2010-12-08T13:30:29Z
person
Jiri Hvezda
address
The Czech Republic
phone
+420 2 84084222
nic-hdl
HVJI1-RIPE
route
90.180.0.0/14
origin
AS5610
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2025-11-12 | London, UK | SSH | View Log |
- Country: Czechia
- Network:
- Noticed: 6 times
- Protocols Attacked: ssh
- Countries Attacked: Australia
- Passive DNS Results: prodej.vgarazi.cz jirka.vgarazi.cz zatimdobry.vgarazi.cz www.vgarazi.cz
CVEs Detected
CVE-2007-4723 CVE-2009-0796 CVE-2009-2299 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2023-38709 CVE-2024-24795 CVE-2024-27316 CVE-2024-36387 CVE-2024-38472 CVE-2024-38473 CVE-2024-38474 CVE-2024-38475 CVE-2024-38476 CVE-2024-38477 CVE-2024-39573 CVE-2024-40898 CVE-2024-42516 CVE-2024-43204 CVE-2024-43394 CVE-2024-47252 CVE-2025-23048 CVE-2025-49630 CVE-2025-49812 CVE-2025-53020
Disclaimer
This page contains threat intelligence information for the IPv4 address 90.180.197.128 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.