132.248.14.208 Threat Intelligence and Host Information

General

IP Address
132.248.14.208
IPv4 Address
Location
🇲🇽 Coyoacán, Mexico
MX
Network
AS278
Universidad Nacional Autonoma de Mexico
Threat Score
61/100
High Risk
bruteforceBruteforceBrute-Forcecowrieinfomaliciousnotice
Attack Intelligence
MITRE ATT&CK Techniques
T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.004 - Credential Stuffing, T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
Mexico
City
Coyoacán
Region
Mexico City
Coordinates
19.3179, -99.1729
Network Information
ASN
AS278
Organization
Universidad Nacional Autonoma de Mexico
Network
AS278 Universidad Nacional Autonoma de Mexico
WHOIS Information
NetRange
132.247.0.0 - 132.248.255.255
CIDR
132.248.0.0/16, 132.247.0.0/16
NetName
LACNIC-ERX-132-247-0-0
NetHandle
NET-132-247-0-0-1
Parent
NET132 (NET-132-0-0-0-0)
NetType
Transferred to LACNIC
OriginAS
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2002-07-27
Updated
2018-03-15
Comment
Please see http://www.lacnic.net/ for further details,
Ref
https://rdap.arin.net/registry/entity/LACNIC
OrgName
Latin American and Caribbean IP address Regional Registry
OrgId
LACNIC
Address
Rambla Republica de Mexico 6125
City
Montevideo
StateProv
PostalCode
11400
Country
UY
OrgTechHandle
LACNIC-ARIN
OrgTechName
LACNIC Whois Info
OrgTechPhone
+598-2604-2222
OrgTechRef
https://rdap.arin.net/registry/entity/LACNIC-ARIN
OrgAbuseHandle
LWI100-ARIN
Attack Logs
Date Target Location Protocol Link
2024-11-25 Perth, Australia MULTIPLE View Log

  • Country: Mexico
  • Network:
  • Noticed: 14 times
  • Protocols Attacked: SSH
  • Countries Attacked: Australia
  • Passive DNS Results: terradigitalis.igg.unam.mx

CVEs Detected

CVE-2021-23017 CVE-2021-3618 CVE-2023-44487

Disclaimer
This page contains threat intelligence information for the IPv4 address 132.248.14.208 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.