103.130.182.121 Threat Intelligence and Host Information

General

IP Address
103.130.182.121
IPv4 Address
Location
🇮🇩 Indonesia
ID
Network
AS138083
PT. Supra Boga Lestari
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
161
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1728, 106.8272
Network Information
ASN
AS138083
Organization
PT. Supra Boga Lestari
Network
AS138083 PT. Supra Boga Lestari
WHOIS Information
inetnum
103.130.182.0 - 103.130.182.255
netname
FIBERNET-NETBLOCK
descr
Route Object FIBERNET
admin-c
NAF1-AP
tech-c
NF107-AP
country
ID
mnt-by
MAINT-FIBERNET-ID
mnt-irt
IRT-FIBERNET-ID
mnt-routes
MAINT-FIBERNET-ID
status
ALLOCATED NON-PORTABLE
mnt-lower
MAINT-FIBERNET-ID
last-modified
2024-01-05T10:35:18Z
irt
IRT-FIBERNET-ID
address
Cinere, Depok
e-mail
noc@fiber.net.id
abuse-mailbox
abuse@fiber.net.id
role
NOC FIBERNET
phone
+62-21-7532726
fax-no
+62-21-78846122
nic-hdl
NF108-AP
route
103.130.182.0/24
origin
AS58369
geoloc
-6.3081695 106.8369562
notify
admin@fiber.net.id

  • Country: Indonesia
  • Network: AS138083 pt. supra boga lestari
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy

CVEs Detected

CVE-2006-20001 CVE-2007-4723 CVE-2009-0796 CVE-2009-2299 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2018-5951 CVE-2021-3014 CVE-2022-22719 CVE-2022-22720 CVE-2022-22721 CVE-2022-23943 CVE-2022-26377 CVE-2022-28330 CVE-2022-28614 CVE-2022-28615 CVE-2022-29404 CVE-2022-30556 CVE-2022-31813 CVE-2022-36760 CVE-2022-37436 CVE-2022-45313 CVE-2022-45315 CVE-2023-25690 CVE-2023-27522 CVE-2023-30800 CVE-2023-31122 CVE-2023-45802 CVE-2024-27316 CVE-2024-38474 CVE-2024-38476 CVE-2024-38477 CVE-2024-40898

Disclaimer
This page contains threat intelligence information for the IPv4 address 103.130.182.121 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.