173.0.112.12 Threat Intelligence - Mexico | IP Address Lookup
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General
IP Address
173.0.112.12
Location
🇲🇽 Tepeji del Río de Ocampo, Mexico
Network
AS394684
Threat Score
5/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Open Ports Detected
1612000538082918728
Geographic Location
Country
Mexico
City
Tepeji del Río de Ocampo
Region
Hidalgo
Coordinates
20.0031, -99.3738
Network Information
ASN
AS394684
Organization
GOLD DATA USA INC
Network
AS394684 GOLD DATA USA INC
WHOIS Information
NetRange
173.0.112.0 - 173.0.127.255
CIDR
173.0.112.0/20
NetName
DBRIN
NetHandle
NET-173-0-112-0-1
Parent
NET173 (NET-173-0-0-0-0)
NetType
Direct Allocation
Organization
GTT Americas, LLC (GAL-104)
RegDate
2010-06-23
Updated
2025-05-07
Ref
https://rdap.arin.net/registry/ip/173.0.112.0
OrgName
GTT Americas, LLC
OrgId
GAL-104
Address
4201 Wilson Blvd -Suite 504
City
Arlington
StateProv
VA
PostalCode
22203
Country
US
OrgTechHandle
GLD5-ARIN
OrgTechName
GTT Legal Departement
OrgTechPhone
+359886606
OrgTechEmail
alexander.mutafchiyski@gtt.net
OrgTechRef
https://rdap.arin.net/registry/entity/GLD5-ARIN
OrgNOCHandle
GNOC16-ARIN
OrgNOCName
GTT Network Operations Center
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-21 | Webexploit Mitre T1593 Ip List 2026 10 21 | Multiple | View Log |
| 2026-10-21 | Webexploit Fake Googlebot Ip List 2026 10 21 | Multiple | View Log |
| 2026-07-14 | Webexploit Fake Googlebot Ip List 2026 07 14 | Multiple | View Log |
| 2026-07-14 | Webexploit Mitre T1593 Ip List 2026 07 14 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 173.0.112.12 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.