111.95.215.177 Threat Intelligence and Host Information

General

IP Address
111.95.215.177
IPv4 Address
Location
🇮🇩 Jatibening, Indonesia
ID
Network
AS23700
Linknet-Fastnet ASN
Threat Score
10/100
Low Risk
Attack Intelligence
Open Ports Detected
1723
Geographic Location
Country
Indonesia
City
Jatibening
Region
West Java
Coordinates
-6.2638, 106.9525
Network Information
ASN
AS23700
Organization
Linknet-Fastnet ASN
Network
AS23700 Linknet-Fastnet ASN
WHOIS Information
inetnum
111.95.215.0 - 111.95.215.255
netname
FastNet
descr
Jakarta - 12950
country
ID
admin-c
MA1-AP
tech-c
RS143-AP
mnt-by
MAINT-ID-BM
mnt-lower
MAINT-ID-BM
mnt-routes
MAINT-ID-BM
status
ASSIGNED NON-PORTABLE
mnt-irt
IRT-BM-ID
last-modified
2011-05-11T09:06:30Z
irt
IRT-BM-ID
address
Jakarta
e-mail
rony.ardhitia@firstmedia.com
abuse-mailbox
abuse@firstmedia.com
person
Rony Ardhitia Soetedjo
nic-hdl
RS143-AP
phone
+62-21-5278811
fax-no
+62-21-5278833

  • Country: Indonesia
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy

CVEs Detected

CVE-2017-20149 CVE-2018-1156 CVE-2018-1157 CVE-2018-1158 CVE-2018-1159 CVE-2018-14847 CVE-2018-5951 CVE-2018-7445 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-2020-20021 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-2023-32154

Disclaimer
This page contains threat intelligence information for the IPv4 address 111.95.215.177 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.