111.125.83.172 Threat Intelligence and Host Information

General

IP Address
111.125.83.172
IPv4 Address
Location
🇵🇭 Quezon City, Philippines
PH
Network
AS17639
Converge ICT Solutions Inc.
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
Philippines
City
Quezon City
Region
Metro Manila
Coordinates
14.6477, 121.0491
Network Information
ASN
AS17639
Organization
Converge ICT Solutions Inc.
Network
AS17639 Converge ICT Solutions Inc.
WHOIS Information
inetnum
111.125.80.0 - 111.125.83.255
netname
CONVERGE-ICT_SOLUTION_INC
descr
University of the Philippines Visayas
country
PH
admin-c
CISI3-AP
tech-c
CISI3-AP
abuse-c
AC1641-AP
status
ASSIGNED NON-PORTABLE
notify
abuse@convergeict.com
mnt-by
MAINT-PH-COMCLARK
mnt-irt
IRT-COMCLARK-PH
last-modified
2025-09-08T04:43:37Z
irt
IRT-COMCLARK-PH
address
Comclark Bldg. Pres. M.A. Roxas Hi-way, CSEZ Clarkfield, Pampanga
e-mail
abuse@convergeict.com
abuse-mailbox
abuse@convergeict.com
role
CONVERGE ICT SOLUTIONS INC administrator
phone
+63-2-667-0880
nic-hdl
CISI3-AP
fax-no
+63-2-667-0880
route
111.125.83.0/24
origin
AS132792
Attack Logs
Date Target Location Protocol Link
2026-03-11 Cfglobal-Web MULTIPLE View Log

  • Country: Philippines
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: web
  • Passive DNS Results: upvlibrary.direct.quickconnect.to

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2019-16905 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728

Disclaimer
This page contains threat intelligence information for the IPv4 address 111.125.83.172 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.