179.32.44.133 Threat Intelligence and Host Information

General

IP Address
179.32.44.133
IPv4 Address
Location
🇨🇴 Soacha, Colombia
CO
Network
AS3816
COLOMBIA TELECOMUNICACIONES S.A. ESP
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
28080
Geographic Location
Country
Colombia
City
Soacha
Region
Cundinamarca
Coordinates
4.5842, -74.2134
Network Information
ASN
AS3816
Organization
COLOMBIA TELECOMUNICACIONES S.A. ESP
Network
AS3816 COLOMBIA TELECOMUNICACIONES S.A. ESP
WHOIS Information
inetnum
179.32.0.0/15
status
allocated
aut-num
N/A
owner
COLOMBIA TELECOMUNICACIONES S.A. ESP
ownerid
CO-CTSE-LACNIC
responsible
Administradores Internet Colombia
address
111121 - Bogotá - Cundinamarca
country
CO
phone
+57 6017050000
owner-c
CTE7
tech-c
CTE7
abuse-c
ACT44
inetrev
179.32.0.0/15
nserver
DNS.TELECOM.COM.CO
nsstat
20240812 AA
nslastaa
20240812
created
20230523
changed
20240311
nic-hdl
ACT44
person
Abuse Colombia Telecomunicaciones
e-mail
admon.ip.telefonica@telefonica.com

  • Country: Colombia
  • Network: AS3816 colombia telecomunicaciones s.a. esp
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy

CVEs Detected

CVE-2007-4723 CVE-2009-0796 CVE-2009-1390 CVE-2009-2299 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 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-2019-0190 CVE-2022-3996 CVE-2022-4203 CVE-2022-4304 CVE-2022-4450 CVE-2023-0215 CVE-2023-0216 CVE-2023-0217 CVE-2023-0286 CVE-2023-0401 CVE-2023-0464 CVE-2023-0465 CVE-2023-0466 CVE-2023-1255 CVE-2023-2650 CVE-2023-2975 CVE-2023-31122 CVE-2023-3817 CVE-2023-43622 CVE-2023-45802 CVE-2023-4807 CVE-2023-5363 CVE-2023-5678 CVE-2023-6129 CVE-2024-0727 CVE-2024-27316

Disclaimer
This page contains threat intelligence information for the IPv4 address 179.32.44.133 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.