103.148.128.156 Threat Intelligence - Pakistan | IP Address Lookup

General

IP Address
103.148.128.156
IPv4 Address
Location
🇵🇰 Jaranwala, Pakistan
PK
Network
AS140100
MAC WIFI NETWORKS PRIVATE LIMITED
Threat Score
46/100
Medium Risk
bruteforcemalwarepayload-deliverytelnettpotvultr
Attack Intelligence
MITRE ATT&CK Techniques
T1005 - Data from Local System, T1033 - System Owner/User Discovery, T1037 - Boot or Logon Initialization Scripts, T1041 - Exfiltration Over C2 Channel, T1046 - Network Service Scanning, T1059 - Command and Scripting Interpreter, T1070 - Indicator Removal on Host, T1071 - Application Layer Protocol, T1083 - File and Directory Discovery, T1098 - Account Manipulation, T1105 - Ingress Tool Transfer, T1190 - Exploit Public-Facing Application, T1595 - Active Scanning
Noticed
3 times
Protocols Attacked
telnet
Geographic Location
Country
Pakistan
City
Jaranwala
Region
Punjab
Coordinates
31.3350, 73.4432
Network Information
ASN
AS140100
Organization
MAC WIFI NETWORKS PRIVATE LIMITED
Network
AS140100 MAC WIFI NETWORKS PRIVATE LIMITED
WHOIS Information
inetnum
103.148.128.0 - 103.148.128.255
netname
LOGINMEPVTLTD-PK
descr
Jazz
country
PK
admin-c
MWNP1-AP
tech-c
MWNP1-AP
abuse-c
AM2651-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-MWNPL-PK
mnt-irt
IRT-MWNPL-PK
last-modified
2023-10-16T16:16:11Z
irt
IRT-MWNPL-PK
address
Opposite Bhatti Marriage Hall, Faisalabad Road, Jaranwala, Jaranwala Punjab 37250
e-mail
abuse@macwifinetworks.net
abuse-mailbox
abuse@macwifinetworks.net
role
ABUSE MWNPLPK
phone
+000000000
nic-hdl
AM2651-AP
route
103.148.128.0/24
origin
AS131471
Attack Logs
DateTarget LocationProtocolLink
2026-07-19 Vultrmelbournetest TELNET View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.148.128.156 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.