187.223.132.146 Threat Intelligence and Host Information
Jul 10, 2025
ipinfopage
General
IP Address
187.223.132.146
Location
🇲🇽 La Paz, Mexico
Network
AS8151
Threat Score
15/100
Attack Intelligence
Open Ports Detected
2000
Geographic Location
Country
Mexico
City
La Paz
Region
Baja California Sur
Coordinates
24.1269, -110.2931
Network Information
ASN
AS8151
Organization
Uninet S.A. de C.V.
Network
AS8151 Uninet S.A. de C.V.
WHOIS Information
inetnum
187.223.0.0/16
status
reallocated
aut-num
AS8151
owner
UNINET
ownerid
MX-USCV4-LACNIC
responsible
No hay informacion
address
14060 - TLALPAN - CX
country
MX
phone
+52 5554876578
owner-c
GEC10
tech-c
GEC10
abuse-c
GEC10
inetrev
187.223.0.0/16
nserver
NSMTY2.UNINET.NET.MX
nsstat
20250708 AA
nslastaa
20250708
created
20110706
changed
20250505
inetnum-up
187.192.0.0/11
nic-hdl
GEC10
person
Santiago Ricardo Ramirez Luna
e-mail
gccips@uninet.com.mx
- Country: Mexico
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2018-5951 CVE-2019-13074 CVE-2019-13954 CVE-2019-13955 CVE-2019-15055 CVE-2019-16160 CVE-2019-3924 CVE-2019-3943 CVE-2019-3976 CVE-2019-3977 CVE-2019-3978 CVE-2019-3979 CVE-2020-10364 CVE-2020-11881 CVE-2020-20021 CVE-2020-20217 CVE-2020-20220 CVE-2020-20221 CVE-2020-20225 CVE-2020-20230 CVE-2020-20247 CVE-2020-20249 CVE-2020-20250 CVE-2020-20252 CVE-2020-20253 CVE-2020-20254 CVE-2020-20262 CVE-2020-20264 CVE-2020-20265 CVE-2020-20266 CVE-2020-20267 CVE-2021-3014 CVE-2021-36613 CVE-2021-36614 CVE-2022-36522 CVE-2022-45313 CVE-2022-45315 CVE-2023-30799 CVE-2023-30800 CVE-2023-32154 CVE-2024-54772
Disclaimer
This page contains threat intelligence information for the IPv4 address 187.223.132.146 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.