119.81.18.85 Threat Intelligence and Host Information

General

IP Address
119.81.18.85
IPv4 Address
Location
🇸🇬 Singapore, Singapore
SG
Network
AS36351
IBM Cloud
Threat Score
10/100
Low Risk
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.2872, 103.8507
Network Information
ASN
AS36351
Organization
IBM Cloud
Network
AS36351 IBM Cloud
WHOIS Information
inetnum
119.81.0.0 - 119.81.255.255
netname
IBMCLOUD-AP
descr
IBM Cloud International B.V.
country
NL
org
ORG-SDHB1-AP
admin-c
ICIB1-AP
tech-c
ICIB1-AP
abuse-c
AI1040-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-IBMCLOUD-AP
mnt-lower
MAINT-IBMCLOUD-AP
mnt-routes
MAINT-IBMCLOUD-AP
mnt-irt
IRT-IBMCLOUD-AP
last-modified
2024-10-18T04:26:27Z
irt
IRT-IBMCLOUD-AP
address
Johan Huizingalaan 765, Amsterdam, 1066 VH
e-mail
ipadmin@softlayer.com
abuse-mailbox
abuse@softlayer.com
organisation
ORG-SDHB1-AP
org-name
IBM Cloud International B.V.
org-type
LIR
phone
+1-214-442-0600
fax-no
+1-214-442-0601
mnt-ref
APNIC-HM
Attack Logs
Date Target Location Protocol Link
2026-09-01 Toronto, Canada SSH View Log

  • Country: Singapore
  • Network:
  • Noticed: times
  • Protocols Attacked: combined portscan ssh
  • Passive DNS Results: mail.focusit.sg

Malware Detected on Host

Count:

CVEs Detected

CVE-2006-20001 CVE-2007-4723 CVE-2009-0796 CVE-2009-1390 CVE-2009-2299 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 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-2013-4352 CVE-2013-4365 CVE-2013-5704 CVE-2013-6438 CVE-2014-0098 CVE-2014-0117 CVE-2014-0118 CVE-2014-0226 CVE-2014-0231 CVE-2014-3523 CVE-2014-3581 CVE-2014-8109 CVE-2015-0228 CVE-2015-3183 CVE-2015-3184 CVE-2015-3185 CVE-2016-0736 CVE-2016-2161 CVE-2016-4975 CVE-2016-5387 CVE-2016-8612 CVE-2016-8743 CVE-2017-15710 CVE-2017-15715 CVE-2017-3167 CVE-2017-3735 CVE-2017-3736 CVE-2017-3737 CVE-2017-3738 CVE-2017-7679 CVE-2017-9788 CVE-2017-9798 CVE-2018-0732 CVE-2018-0734 CVE-2018-0737 CVE-2018-0739 CVE-2018-1283 CVE-2018-1301 CVE-2018-1302 CVE-2018-1303 CVE-2018-1312 CVE-2018-17199 CVE-2018-5407 CVE-2019-0217 CVE-2019-0220 CVE-2019-10092 CVE-2019-10098 CVE-2019-1547 CVE-2019-1551 CVE-2019-1552 CVE-2019-1559 CVE-2019-1563 CVE-2019-17567 CVE-2020-11985 CVE-2020-13938 CVE-2020-1927 CVE-2020-1934 CVE-2020-1968 CVE-2020-1971 CVE-2020-35452 CVE-2021-23840 CVE-2021-23841 CVE-2021-26690 CVE-2021-26691 CVE-2021-32785 CVE-2021-32786 CVE-2021-32791 CVE-2021-32792 CVE-2021-34798 CVE-2021-3712 CVE-2021-39275 CVE-2021-40438 CVE-2021-4160 CVE-2021-44790 CVE-2022-0778 CVE-2022-1292 CVE-2022-2068 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-2022-4304 CVE-2023-0215 CVE-2023-0286 CVE-2023-0464 CVE-2023-0465 CVE-2023-0466 CVE-2023-25690 CVE-2023-2650 CVE-2023-31122 CVE-2023-3817 CVE-2023-38709 CVE-2023-5678 CVE-2024-0727 CVE-2024-24795 CVE-2024-38472 CVE-2024-38473 CVE-2024-38474 CVE-2024-38475 CVE-2024-38476 CVE-2024-38477 CVE-2024-39573 CVE-2024-40898 CVE-2024-42516 CVE-2024-43204 CVE-2024-43394 CVE-2024-47252 CVE-2025-49812 CVE-2025-58098 CVE-2025-59775 CVE-2025-65082 CVE-2025-68160 CVE-2025-69421 CVE-2026-22796 CVE-2026-24072 CVE-2026-28388 CVE-2026-28389 CVE-2026-28390 CVE-2026-28780 CVE-2026-29167 CVE-2026-29169 CVE-2026-29170 CVE-2026-33006 CVE-2026-33007 CVE-2026-33523 CVE-2026-33857 CVE-2026-34032 CVE-2026-34059 CVE-2026-34180 CVE-2026-34355 CVE-2026-34356 CVE-2026-42535 CVE-2026-42536 CVE-2026-42766 CVE-2026-43951 CVE-2026-44119 CVE-2026-44185 CVE-2026-44186 CVE-2026-44631 CVE-2026-45447 CVE-2026-7383 CVE-2026-9076

Disclaimer
This page contains threat intelligence information for the IPv4 address 119.81.18.85 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.