39.33.63.118 Threat Intelligence - Pakistan | IP Address Lookup
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General
IP Address
39.33.63.118
Location
🇵🇰 Buner District, Pakistan
Network
AS17557
Threat Score
5/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
Pakistan
City
Buner District
Region
Khyber Pakhtunkhwa
Coordinates
34.4430, 72.4993
Network Information
ASN
AS17557
Organization
Pakistan Telecommunication Company Limited
Network
AS17557 Pakistan Telecommunication Company Limited
WHOIS Information
inetnum
39.32.0.0 - 39.63.255.255
netname
PTCLBB-PK
descr
Pakistan Telecommuication company limited
country
PK
org
ORG-PTCL1-AP
admin-c
MA527-AP
tech-c
MA527-AP
abuse-c
AP1078-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-PK-PTCLBB
mnt-routes
MAINT-PK-PTCLBB
mnt-irt
IRT-PTCLBB-PK
last-modified
2021-01-20T22:25:24Z
irt
IRT-PTCLBB-PK
address
General Manager,
e-mail
abuse.irt@ptcl.net
abuse-mailbox
abuse.irt@ptcl.net
organisation
ORG-PTCL1-AP
org-name
Pakistan Telecommuication company limited
org-type
LIR
phone
+92-51-4430380
fax-no
+92-51-4865401
mnt-ref
APNIC-HM
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 39.33.63.118 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.