181.129.163.74 Threat Intelligence and Host Information
Nov 25, 2025
ipinfopage
General
IP Address
181.129.163.74
Location
🇨🇴 Santiago de Cali, Colombia
Network
AS8065
Threat Score
15/100
Attack Intelligence
Open Ports Detected
1701
Geographic Location
Country
Colombia
City
Santiago de Cali
Region
Departamento del Valle del Cauca
Coordinates
3.4129, -76.5191
Network Information
ASN
AS8065
Organization
EPM Telecomunicaciones S.A. E.S.P.
Network
AS8065 EPM Telecomunicaciones S.A. E.S.P.
WHOIS Information
inetnum
181.128.0.0/13
status
allocated
aut-num
N/A
owner
UNE EPM TELECOMUNICACIONES S.A.
ownerid
CO-EPME1-LACNIC
responsible
Administrador EPMNET
address
00 - MEDELLIN - ANTIOQUIA
country
CO
phone
+57 3001231234
owner-c
JDM29
tech-c
YGO2
abuse-c
ABI13
inetrev
181.128.0.0/13
nserver
NSBOG01.UNE.NET.CO
nsstat
20251124 AA
nslastaa
20251124
created
20240611
changed
20240611
nic-hdl
ABI13
person
Abuso Internet
e-mail
abuse.internet@tigo.com.co
- Country: Colombia
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
Malware Detected on Host
Count: 1 43c3dea5c18150f7a1be29cbcda4fb5008100908549366bddf8e596cb9fb38f2
CVEs Detected
CVE-2007-3205 CVE-2013-2220 CVE-2017-8923 CVE-2019-11043 CVE-2019-11044 CVE-2019-11045 CVE-2019-11046 CVE-2019-11047 CVE-2019-11048 CVE-2019-11050 CVE-2019-13224 CVE-2020-7059 CVE-2020-7060 CVE-2020-7061 CVE-2020-7062 CVE-2020-7063 CVE-2020-7064 CVE-2020-7066 CVE-2020-7067 CVE-2020-7068 CVE-2020-7069 CVE-2020-7070 CVE-2022-22707 CVE-2022-31628 CVE-2022-31629 CVE-2022-37454 CVE-2022-4900 CVE-2024-25117 CVE-2024-3566
Disclaimer
This page contains threat intelligence information for the IPv4 address 181.129.163.74 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.