103.150.103.242 Threat Intelligence and Host Information

General

IP Address
103.150.103.242
IPv4 Address
Location
🇮🇩 Cimahi, Indonesia
ID
Network
AS133800
PT Biznet Gio Nusantara
Threat Score
27/100
Low Risk
portscanscannersvultr
Attack Intelligence
Open Ports Detected
53
Geographic Location
Country
Indonesia
City
Cimahi
Region
West Java
Coordinates
-6.8722, 107.5425
Network Information
ASN
AS133800
Organization
PT Biznet Gio Nusantara
Network
AS133800 PT Biznet Gio Nusantara
WHOIS Information
inetnum
103.150.103.0 - 103.150.103.255
netname
IDNIC-BIZNETGIO-ID
descr
Route Object of PT Biznet Gio Nusantara
country
ID
admin-c
SS3223-AP
tech-c
SS3223-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-ID-BIZNETGIO
mnt-irt
IRT-BIZNETGIO-ID
last-modified
2020-04-16T11:55:21Z
irt
IRT-BIZNETGIO-ID
address
Tanah Abang, Jakarta Pusat
e-mail
noc@biznetgio.com
abuse-mailbox
abuse@biznetgio.com
person
NOC BiznetGIO
phone
+62-21-5714567
nic-hdl
NB288-AP
route
103.150.102.0/23
origin
AS133800

  • Country: Indonesia
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH

CVEs Detected

CVE-2007-2243 CVE-2007-2768 CVE-2008-3844 CVE-2016-10009 CVE-2016-20012 CVE-2019-16905 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-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414

Similar IP Addresses Detected

103.150.10.201 103.150.125.250 103.150.18.218 103.150.191.58 103.150.196.2 103.150.214.225 103.150.238.21 103.150.242.92 103.150.70.187 103.150.84.248

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Disclaimer
This page contains threat intelligence information for the IPv4 address 103.150.103.242 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.