38.253.224.41 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
38.253.224.41
Location
🇮🇩 Ponorogo, Indonesia
Network
AS139952
Threat Score
29/100
Attack Intelligence
Noticed
2 times
Protocols Attacked
webshell
Open Ports Detected
200044380
Geographic Location
Country
Indonesia
City
Ponorogo
Region
East Java
Coordinates
-7.9313, 111.4995
Network Information
ASN
AS139952
Organization
PT Trisari Data Indonusa
Network
AS139952 PT Trisari Data Indonusa
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 Webshell Filename Probe Ip List 2026 10 24 | Multiple | View Log |
| 2026-09-03 | Webexploit Webshell Filename Probe Ip List 2026 09 03 | Multiple | View Log |
| 2026-09-02 | Webexploit Webshell Filename Probe Ip List 2026 09 02 | Multiple | View Log |
| 2026-08-31 | Webexploit Webshell Filename Probe Ip List 2026 08 31 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 38.253.224.41 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.