163.53.82.234 Threat Intelligence and Host Information

General

IP Address
163.53.82.234
IPv4 Address
Location
🇮🇳 India
IN
Network
AS45433
Kappa Internet Services Private Limited
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
2000
Geographic Location
Country
India
City
Unknown
Region
Unknown
Coordinates
21.9974, 79.0011
Network Information
ASN
AS45433
Organization
Kappa Internet Services Private Limited
Network
AS45433 Kappa Internet Services Private Limited
WHOIS Information
inetnum
163.53.80.0 - 163.53.83.255
netname
KAPPA-IN
descr
Kappa Internet Services Private Limited
admin-c
KISP1-AP
tech-c
KISP1-AP
country
IN
mnt-by
MAINT-KAPPA-IN
mnt-irt
IRT-KAPPA-IN
mnt-routes
MAINT-KAPPA-IN
status
ALLOCATED PORTABLE
last-modified
2020-07-05T02:20:12Z
irt
IRT-KAPPA-IN
address
1-RA-8 Vigyan Nagar, KOTA - 5, INDIA
e-mail
krshn@kappa.net.in
abuse-mailbox
mail@kappa.net.in
role
KAPPA INTERNET SERVICES PRIVATE LIMITED - network
phone
+91-744-2436000
fax-no
+91-744-2426000
nic-hdl
KISP1-AP
route
163.53.82.0/24
origin
AS45433
notify
ipnoc@kappa.net.in

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

Malware Detected on Host

Count: 1 5a8ab07d811a8a0783d4bdcde84d954514ca4be2b3695dff9b4a78f779549ad1

CVEs Detected

CVE-2018-5951 CVE-2019-16160 CVE-2020-11881 CVE-2020-20021 CVE-2020-20214 CVE-2020-20215 CVE-2020-20216 CVE-2020-20217 CVE-2020-20218 CVE-2020-20219 CVE-2020-20222 CVE-2020-20225 CVE-2020-20230 CVE-2020-20231 CVE-2020-20249 CVE-2020-20250 CVE-2020-20252 CVE-2020-20262 CVE-2020-20264 CVE-2020-20265 CVE-2020-20267 CVE-2021-3014 CVE-2021-36613 CVE-2021-36614 CVE-2022-36522 CVE-2022-45313 CVE-2022-45315 CVE-2023-30799

Disclaimer
This page contains threat intelligence information for the IPv4 address 163.53.82.234 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.