45.115.42.132 Threat Intelligence - Pakistan | IP Address Lookup

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General

IP Address
45.115.42.132
IPv4 Address
Location
🇵🇰 Sialkot, Pakistan
PK
Network
AS142647
Nasstec Airnet Networks Private Limited
Threat Score
5/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Open Ports Detected
16120008728
Geographic Location
Country
Pakistan
City
Sialkot
Region
Punjab
Coordinates
32.4858, 74.5370
Network Information
ASN
AS142647
Organization
Nasstec Airnet Networks Private Limited
Network
AS142647 Nasstec Airnet Networks Private Limited
WHOIS Information
inetnum
45.115.42.0 - 45.115.43.255
netname
SCL-PK
descr
SATELLITE C-LINKERS (PRIVATE) LIMITED
country
PK
org
ORG-SCL36-AP
admin-c
SCPL15-AP
tech-c
SCPL15-AP
abuse-c
AS3894-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-SCL-PK
mnt-routes
MAINT-SCL-PK
mnt-irt
IRT-SCL-PK
last-modified
2025-09-22T05:40:22Z
irt
IRT-SCL-PK
address
Chowk Ramtalai, Super Market, District Sialkot, Sialkot Punjab 51040
e-mail
abuse@satellitecable.net.pk
abuse-mailbox
abuse@satellitecable.net.pk
organisation
ORG-SCL36-AP
org-name
SATELLITE C-LINKERS (PRIVATE) LIMITED
org-type
LIR
phone
+923009616169
mnt-ref
APNIC-HM
role
ABUSE SCLPK
Attack Logs
DateTarget LocationProtocolLink
2026-10-24 Webexploit Mitre T1593 Ip List 2026 10 24 Multiple View Log
2026-10-24 Webexploit Fake Googlebot Ip List 2026 10 24 Multiple View Log
2026-10-21 Webexploit Mitre T1593 Ip List 2026 10 21 Multiple View Log
2026-10-21 Webexploit Fake Googlebot Ip List 2026 10 21 Multiple View Log
2026-07-16 Webexploit Mitre T1593 Ip List 2026 07 16 Multiple View Log
2026-07-16 Webexploit Fake Googlebot Ip List 2026 07 16 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 45.115.42.132 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.