103.31.39.240 Threat Intelligence and Host Information
Mar 14, 2025
ipinfopage
General
IP Address
103.31.39.240
Location
🇮🇩 Indonesia
Network
AS136052
Threat Score
55/100
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
443
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1728, 106.8272
Network Information
ASN
AS136052
Organization
PT Cloud Hosting Indonesia
Network
AS136052 PT Cloud Hosting Indonesia
WHOIS Information
inetnum
103.31.38.0 - 103.31.39.255
netname
IDNIC-IDCLOUDHOST-ID
descr
ADS-NET-ID
country
ID
admin-c
APS20-AP
tech-c
APS20-AP
abuse-c
AI410-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-ID-ADS
mnt-irt
IRT-IDCLOUDHOST-ID
last-modified
2024-07-19T01:19:35Z
irt
IRT-IDCLOUDHOST-ID
address
Sukabumi, Jawa Barat
e-mail
admin@idcloudhost.com
abuse-mailbox
admin@idcloudhost.com
role
ABUSE IDCLOUDHOSTID
phone
+62-266-620073
nic-hdl
APS20-AP
person
Alfian Pamungkas Sakawiguna
route
103.31.36.0/22
origin
AS38165
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2025-02-03 | Toronto, Canada | SSH | View Log |
- Country: Indonesia
- Network:
- Noticed: 5 times
- Protocols Attacked: ssh
- Countries Attacked: Australia
- Passive DNS Results: staging.bigs-cargo.co.id prema.dpo.co.id thejungla.com pawiwahan-madiantara-rasmiati.awwbit.com undanganmetatah.awwbit.com trustoday.awwbit.com staging.sewaacbali.id panel.awwbit.com www.temanmu.or.id indahnirwana.com trustoday.id www.trustoday.id temanmu.or.id digital.windantara.dev cpl.awwbit.com www.kalimajari.com kalimajari.com panel.windantara.dev portal.edubox.id
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.31.39.240 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.