103.53.46.106 Threat Intelligence and Host Information

General

IP Address
103.53.46.106
IPv4 Address
Location
🇵🇰 Karachi, Pakistan
PK
Network
AS58895
Ebone Network PVT. Limited
Threat Score
27/100
Low Risk
portscanscannersvultr
Attack Intelligence
Open Ports Detected
111
Geographic Location
Country
Pakistan
City
Karachi
Region
Sindh
Coordinates
24.9246, 67.0870
Network Information
ASN
AS58895
Organization
Ebone Network PVT. Limited
Network
AS58895 Ebone Network PVT. Limited
WHOIS Information
inetnum
103.53.44.0 - 103.53.47.255
netname
EBONE1-PK
descr
Ebone Network Pvt. Ltd.
country
PK
org
ORG-ENL3-AP
admin-c
ENA18-AP
tech-c
ENA18-AP
abuse-c
AE376-AP
status
ASSIGNED PORTABLE
mnt-by
MAINT-EBONE1-PK
mnt-routes
MAINT-EBONE1-PK
mnt-irt
IRT-EBONE1-PK
last-modified
2017-05-05T09:31:56Z
irt
IRT-EBONE1-PK
address
Plot
e-mail
support@ebonenet.com
abuse-mailbox
abuse@ebonenet.com
organisation
ORG-ENL3-AP
org-name
E Bone Network (Pvt.) Limited
org-type
LIR
phone
+922138679128
mnt-ref
APNIC-HM
role
ABUSE EBONE1PK
nic-hdl
NR222-AP

  • Country: Pakistan
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: portscan

CVEs Detected

CVE-2007-2768 CVE-2007-4723 CVE-2008-3844 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-2016-20012 CVE-2020-14145 CVE-2021-28041 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2024-42516 CVE-2024-43204 CVE-2024-43394 CVE-2024-47252 CVE-2025-23048 CVE-2025-26465 CVE-2025-32728 CVE-2025-49630 CVE-2025-49812 CVE-2025-53020 CVE-2025-55753 CVE-2025-58098 CVE-2025-59775 CVE-2025-65082 CVE-2025-66200

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Disclaimer
This page contains threat intelligence information for the IPv4 address 103.53.46.106 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.