213.135.175.76 Threat Intelligence and Host Information
Jun 04, 2026
ipinfopage
General
IP Address
213.135.175.76
Location
🇲🇰 Prilep, North Macedonia
Network
AS44566
Threat Score
45/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
North Macedonia
City
Prilep
Region
Prilep
Coordinates
41.3438, 21.5561
Network Information
ASN
AS44566
Organization
KDS-Kabel Net DOOEL
Network
AS44566 KDS-Kabel Net DOOEL
WHOIS Information
inetnum
213.135.172.0 - 213.135.175.255
netname
KDS-KABELNET
descr
KDS KabelNet - ROUTE
country
MK
admin-c
TOME-RIPE
tech-c
TOME-RIPE
status
ASSIGNED PA
mnt-by
MNT-ROUTE_PP
geoloc
41.347907718734234 21.55707612633705
created
2010-01-29T11:24:37Z
last-modified
2010-01-29T11:24:37Z
person
Tome Josifoski
address
ul. Braca Lameski 33
phone
+38948420232
nic-hdl
TOME-RIPE
route
213.135.172.0/22
origin
AS44566
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-06-01 | Toronto, Canada | SSH | View Log |
- Country: North Macedonia
- Network:
- Noticed: 23 times
- Protocols Attacked: ssh
- Countries Attacked: Australia
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2010-4478 CVE-2010-4755 CVE-2010-5107 CVE-2011-4327 CVE-2011-5000 CVE-2012-0814 CVE-2014-1692 CVE-2014-2532 CVE-2014-2653 CVE-2015-5352 CVE-2015-5600 CVE-2015-6563 CVE-2015-6564 CVE-2016-0777 CVE-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-1908 CVE-2016-20012 CVE-2016-3115 CVE-2017-15906 CVE-2018-15473 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-15778 CVE-2021-36368 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2026-35385 CVE-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414
Disclaimer
This page contains threat intelligence information for the IPv4 address 213.135.175.76 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.