119.92.76.210 Threat Intelligence and Host Information

General

IP Address
119.92.76.210
IPv4 Address
Location
🇵🇭 Talon, Philippines
PH
Network
AS9299
Philippine Long Distance Telephone Compa...
Threat Score
50/100
Medium Risk
01.10.202520252026-02adresseipauto-generatedsecurityautomated
Attack Intelligence
MITRE ATT&CK Techniques
T1110.001 - Password Guessing, T1110.002 - Password Cracking, T1110.003 - Password Spraying, T1110 - Brute Force
Open Ports Detected
1443
Geographic Location
Country
Philippines
City
Talon
Region
Calabarzon
Coordinates
14.4319, 120.9845
Network Information
ASN
AS9299
Organization
Philippine Long Distance Telephone Company
Network
AS9299 Philippine Long Distance Telephone Company
WHOIS Information
inetnum
119.92.76.208 - 119.92.76.215
netname
ADSL
descr
This space has been assigned as STATIC
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
2017-02-01T02:28:01Z
irt
IRT-PLDT-PH
address
NFCSM-PLDT, 6/F Innolab Bldg, Boni Ave, Mandaluyong City, MM, Philippnes 1550
e-mail
Noc_pldt@pldt.com.ph
abuse-mailbox
abuse@pldt.net
role
ABUSE PLDTPH
phone
+632-584-0201
nic-hdl
NOC36-AP
person
PLDT APNIC NOC
Attack Logs
Date Target Location Protocol Link
2026-04-02 Vultrtokyo SSH View Log

  • Country: Philippines
  • Network:
  • Noticed: 46 times
  • Protocols Attacked: portscan ssh
  • Countries Attacked: Belgium, Finland, France, Germany, Malaysia, Poland, Sweden, United States of America
  • Passive DNS Results: imiss-nas.direct.quickconnect.to
Disclaimer
This page contains threat intelligence information for the IPv4 address 119.92.76.210 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.