43.242.176.241 Threat Intelligence - Pakistan | IP Address Lookup
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General
IP Address
43.242.176.241
Location
🇵🇰 Hyderabad, Pakistan
Network
AS58893
Threat Score
5/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
Pakistan
City
Hyderabad
Region
Sindh
Coordinates
25.3507, 68.3534
Network Information
ASN
AS58893
Organization
Gemnet Enterprise Solutions Pvt Ltd
Network
AS58893 Gemnet Enterprise Solutions Pvt Ltd
WHOIS Information
inetnum
43.242.176.0 - 43.242.179.255
netname
GESNET-PK
descr
Gemnet Enterprise Solutions Pvt Ltd
country
PK
org
ORG-GESP1-AP
admin-c
GESP1-AP
tech-c
GESP1-AP
abuse-c
AG879-AP
mnt-by
APNIC-HM
mnt-lower
MAINT-GESNET-PK
mnt-routes
MAINT-GESNET-PK
mnt-irt
IRT-GESNET-PK
status
ALLOCATED PORTABLE
last-modified
2021-08-29T23:56:10Z
irt
IRT-GESNET-PK
address
Bungalow
e-mail
abuse@ges.net.pk
abuse-mailbox
abuse@ges.net.pk
organisation
ORG-GESP1-AP
org-name
Gemnet Enterprise Solutions Pvt Ltd
org-type
LIR
phone
+92224177777
mnt-ref
APNIC-HM
role
ABUSE GESNETPK
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 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 43.242.176.241 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.