119.93.15.27 Threat Intelligence - Philippines | IP Address Lookup

Share on:

General

IP Address
119.93.15.27
IPv4 Address
Location
🇵🇭 Makati City, Philippines
PH
Network
AS9299
Philippine Long Distance Telephone Compa...
Threat Score
50/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanmalwarepayload-delivery
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
9 times
Protocols Attacked
combined portscan ssh
Countries Attacked
Finland, France, Germany, Poland, United States of America
Open Ports Detected
110123143212225338944346552225358780809090009007993995
Geographic Location
Country
Philippines
City
Makati City
Region
Metro Manila
Coordinates
14.5562, 121.0298
Network Information
ASN
AS9299
Organization
Philippine Long Distance Telephone Company
Network
AS9299 Philippine Long Distance Telephone Company
Associated CVEs
WHOIS Information
inetnum
119.93.15.27 - 119.93.15.27
netname
ADSL
descr
SMENCB2023042529905_ENTERPRISE CLIENT
country
PH
admin-c
NOC36-AP
tech-c
NOC36-AP
abuse-c
AP713-AP
status
ASSIGNED NON-PORTABLE
mnt-by
PHIX-NOC-AP
mnt-irt
IRT-PLDT-PH
last-modified
2023-04-27T02:22:47Z
irt
IRT-PLDT-PH
address
Philippine Long Distance Telephone Company
e-mail
abuse@pldt.com.ph
abuse-mailbox
abuse@pldt.com.ph
role
ABUSE PLDTPH
phone
+000000000
nic-hdl
AP713-AP
person
PLDT APNIC NOC
route
119.93.0.0/20
origin
AS9299
Attack Logs
DateTarget LocationProtocolLink
2026-09-04 Digitaloceantoronto Combined Multiple View Log
2026-09-04 Toronto, Canada SSH View Log
2026-08-28 Digitaloceantoronto Combined Multiple View Log
2026-08-28 Toronto, Canada SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 119.93.15.27 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.