201.131.131.234 Threat Intelligence - Mexico | IP Address Lookup

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General

IP Address
201.131.131.234
IPv4 Address
Location
🇲🇽 Guadalajara, Mexico
MX
Network
AS28383
Instituto Jalisciense de Tecnologias de ...
Threat Score
55/100
High Risk
blacklistBlocklistbotnetbruteforcecowriedhcpdionaeaelasticsearch
Attack Intelligence
MITRE ATT&CK Techniques
T1046 - Network Service Scanning, T1059.004 - Unix Shell, T1105 - Ingress Tool Transfer, T1110.001 - Password Guessing, T1190 - Exploit Public-Facing Application, T1210 - Exploitation of Remote Services
Noticed
24 times
Protocols Attacked
combined portscan
Countries Attacked
Australia, China, Germany, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America
Open Ports Detected
44898089
Geographic Location
Country
Mexico
City
Guadalajara
Region
Jalisco
Coordinates
20.6381, -103.3480
Network Information
ASN
AS28383
Organization
Instituto Jalisciense de Tecnologias de la Informacion A.C.
Network
AS28383 Instituto Jalisciense de Tecnologias de la Informacion A.C.
WHOIS Information
inetnum
201.131.128.0/21
status
assigned
aut-num
N/A
owner
Instituto Jalisciense de Tecnologias de la Informacion A.C.
ownerid
MX-IJTL1-LACNIC
responsible
Jacobo Gonzalez Torres
address
Av. Lopez Mateos Sur, 2077, Loc. Z Colonia Jardines de Plaza del Sol
country
MX
phone
+52 3330307070
owner-c
JSC6
tech-c
JSC6
abuse-c
JSC6
inetrev
201.131.128.0/21
nserver
CHAPALASTUDIOS.MX [lame - not published]
nsstat
20261005 UH
nslastaa
20130909
created
20120312
changed
20120312
nic-hdl
JSC6
person
Leonardo Ledon Casas
e-mail
lledon@ijalti.org.mx
Attack Logs
DateTarget LocationProtocolLink
2026-09-24 Vultrtokyo Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 201.131.131.234 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.