38.255.107.120 Threat Intelligence - Peru | IP Address Lookup
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General
IP Address
38.255.107.120
Location
🇵🇪 Piura, Peru
Network
AS272836
Threat Score
5/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
Peru
City
Piura
Region
Piura
Coordinates
-5.1819, -80.6572
Network Information
ASN
AS272836
Organization
CALA SERVICIOS INTEGRALES E.I.R.L.
Network
AS272836 CALA SERVICIOS INTEGRALES E.I.R.L.
WHOIS Information
NetRange
38.0.0.0 - 38.255.255.255
CIDR
38.0.0.0/8
NetName
COGENT-A
NetHandle
NET-38-0-0-0-1
Parent
()
NetType
Direct Allocation
Organization
Cogent Communications, LLC (COGC)
RegDate
1991-04-16
Updated
2025-09-23
Ref
https://rdap.arin.net/registry/ip/38.0.0.0
OrgName
Cogent Communications, LLC
OrgId
COGC
Address
2450 N Street NW
City
Washington
StateProv
DC
PostalCode
20037
Country
US
Comment
Geofeed https://geofeed.cogentco.com/geofeed.csv
OrgTechHandle
IPALL-ARIN
OrgTechName
IP Allocation
OrgTechPhone
+1-877-875-4311
OrgTechEmail
ipalloc@cogentco.com
OrgTechRef
https://rdap.arin.net/registry/entity/IPALL-ARIN
OrgNOCHandle
ZC108-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-24 | Webexploit Mitre T1593 Ip List 2026 10 24 | Multiple | View Log |
| 2026-10-24 | Webexploit Fake Googlebot Ip List 2026 10 24 | Multiple | View Log |
| 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 |
| 2026-07-16 | Webexploit Mitre T1593 Ip List 2026 07 16 | Multiple | View Log |
| 2026-07-16 | Webexploit Fake Googlebot Ip List 2026 07 16 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 38.255.107.120 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.