150.109.252.128 Threat Intelligence and Host Information

General

IP Address
150.109.252.128
IPv4 Address
Location
🇰🇷 Seoul, South Korea
KR
Network
AS132203
Tencent Building, Kejizhongyi Avenue
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
South Korea
City
Seoul
Region
Seoul
Coordinates
37.5794, 126.9754
Network Information
ASN
AS132203
Organization
Tencent Building, Kejizhongyi Avenue
Network
AS132203 Tencent Building, Kejizhongyi Avenue
WHOIS Information
inetnum
150.109.208.0 - 150.109.255.255
netname
ACEVILLEPTELTD-SG
descr
ACEVILLE PTE.LTD.
country
SG
admin-c
APA7-AP
tech-c
APA7-AP
abuse-c
AA1875-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-ACEVILLEPTELTD-SG
mnt-irt
IRT-ACEVILLEPTELTD-SG
last-modified
2022-01-14T07:45:08Z
irt
IRT-ACEVILLEPTELTD-SG
e-mail
qcloud_net_duty@tencent.com
abuse-mailbox
qcloud_net_duty@tencent.com
role
ACEVILLE PTELTD administrator
phone
+8613923479936
nic-hdl
APA7-AP
fax-no
+8613923479936
route
150.109.0.0/16
origin
AS132203

  • Country: South Korea
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy

CVEs Detected

CVE-2006-20001 CVE-2007-4723 CVE-2009-0796 CVE-2009-2299 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2022-22719 CVE-2022-22720 CVE-2022-22721 CVE-2022-23943 CVE-2022-26377 CVE-2022-28330 CVE-2022-28614 CVE-2022-28615 CVE-2022-29404 CVE-2022-30556 CVE-2022-31813 CVE-2022-36760 CVE-2022-37436 CVE-2023-25690 CVE-2023-27522 CVE-2023-31122 CVE-2023-45802 CVE-2024-27316 CVE-2024-38474 CVE-2024-38476 CVE-2024-38477 CVE-2024-40898

Disclaimer
This page contains threat intelligence information for the IPv4 address 150.109.252.128 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.