103.24.214.158 Threat Intelligence and Host Information
Jun 22, 2025
ipinfopage
General
IP Address
103.24.214.158
Location
🇮🇩 Banaran, Indonesia
Network
AS
Threat Score
15/100
Attack Intelligence
Open Ports Detected
1701
Geographic Location
Country
Indonesia
City
Banaran
Region
Yogyakarta
Coordinates
-7.7405, 110.2427
Network Information
ASN
AS
Organization
Network
WHOIS Information
inetnum
103.24.214.0 - 103.24.214.255
netname
ADAUNET_INFRASTRUKTUR_JATENG
descr
Semarang - Indonesia 50189
country
ID
admin-c
SR888-AP
tech-c
SR888-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-ID-ADAUNET
mnt-lower
MAINT-ID-ADAUNET
mnt-routes
MAINT-ID-ADAUNET
mnt-irt
IRT-ADAUNET-ID
last-modified
2013-05-21T12:06:01Z
irt
IRT-ADAUNET-ID
address
Semarang - Indonesia 50189
e-mail
hostmaster@adau.net.id
abuse-mailbox
abuse@adau.net.id
role
ADAUNET HOSTMASTERS
phone
+62-24-76633724
fax-no
+62-24-76633724
nic-hdl
ADAU1-AP
notify
taufiq@adau.net.id
route
103.24.212.0/22
origin
AS132649
- Country: Indonesia
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2018-5951 CVE-2019-13074 CVE-2019-13954 CVE-2019-13955 CVE-2019-15055 CVE-2019-16160 CVE-2019-3924 CVE-2019-3943 CVE-2019-3976 CVE-2019-3977 CVE-2019-3978 CVE-2019-3979 CVE-2019-3981 CVE-2020-10364 CVE-2020-11881 CVE-2020-20021 CVE-2020-20217 CVE-2020-20220 CVE-2020-20221 CVE-2020-20225 CVE-2020-20230 CVE-2020-20247 CVE-2020-20249 CVE-2020-20250 CVE-2020-20252 CVE-2020-20253 CVE-2020-20254 CVE-2020-20262 CVE-2020-20264 CVE-2020-20265 CVE-2020-20266 CVE-2020-20267 CVE-2021-3014 CVE-2021-36613 CVE-2021-36614 CVE-2022-36522 CVE-2022-45313 CVE-2022-45315 CVE-2023-30799 CVE-2023-30800
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.24.214.158 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.