103.217.219.118 Threat Intelligence and Host Information

General

IP Address
103.217.219.118
IPv4 Address
Location
🇮🇩 Bekasi, Indonesia
ID
Network
AS24529
PT. Infotama Lintas Global
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
Indonesia
City
Bekasi
Region
West Java
Coordinates
-6.2808, 106.9835
Network Information
ASN
AS24529
Organization
PT. Infotama Lintas Global
Network
AS24529 PT. Infotama Lintas Global
WHOIS Information
inetnum
103.217.216.0 - 103.217.219.255
netname
INFOTAMA-ID
descr
Bekasi, Jawa Barat
admin-c
AA1240-AP
tech-c
SYA2-AP
country
ID
mnt-by
MAINT-ID-INFOTAMA
mnt-lower
MAINT-ID-INFOTAMA
mnt-irt
IRT-INFOTAMA-ID
mnt-routes
MAINT-ID-INFOTAMA
status
ALLOCATED PORTABLE
last-modified
2016-05-20T09:08:05Z
irt
IRT-INFOTAMA-ID
address
Bekasi 17115, Indonesia
e-mail
ilg@infotama.net.id
abuse-mailbox
ilg@infotama.net.id
person
Steven Yones Andrianus
phone
+62-21-82415663
nic-hdl
SYA2-AP
route
103.217.216.0/22
origin
AS24529
Attack Logs
Date Target Location Protocol Link
2026-08-30 Toronto, Canada SSH View Log

  • Country: Indonesia
  • Network:
  • Noticed: times
  • Protocols Attacked: combined portscan ssh

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728 CVE-2026-35385 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414 CVE-2026-59995 CVE-2026-59996 CVE-2026-59997 CVE-2026-59998 CVE-2026-59999 CVE-2026-60000 CVE-2026-60001 CVE-2026-60002

Disclaimer
This page contains threat intelligence information for the IPv4 address 103.217.219.118 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.