181.129.31.42 Threat Intelligence and Host Information

General

IP Address
181.129.31.42
IPv4 Address
Location
🇨🇴 Medellín, Colombia
CO
Network
AS8065
EPM Telecomunicaciones S.A. E.S.P.
Threat Score
10/100
Low Risk
Attack Intelligence
Open Ports Detected
137
Geographic Location
Country
Colombia
City
Medellín
Region
Antioquia
Coordinates
6.2529, -75.5646
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
AS13489
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
20260312 AA
nslastaa
20260312
created
20240611
changed
20240611
nic-hdl
ABI13
person
Abuso Internet
e-mail
abuse.internet@tigo.com.co
Attack Logs
Date Target Location Protocol Link
2026-03-13 London, UK SSH View Log

  • Country: Colombia
  • Network:
  • Noticed: times
  • Protocols Attacked: portscan ssh

Malware Detected on Host

Count:

CVEs Detected

CVE-2003-0190 CVE-2003-0682 CVE-2003-0693 CVE-2003-0695 CVE-2003-1562 CVE-2004-0175 CVE-2004-1653 CVE-2005-2666 CVE-2005-2798 CVE-2006-0225 CVE-2006-4924 CVE-2006-5051 CVE-2006-5052 CVE-2006-5794 CVE-2007-2243 CVE-2007-2768 CVE-2007-4752 CVE-2008-3259 CVE-2008-3844 CVE-2008-4109 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-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-1908 CVE-2016-20012 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-2024-6387

Disclaimer
This page contains threat intelligence information for the IPv4 address 181.129.31.42 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.