103.159.132.217 Threat Intelligence and Host Information
Aug 07, 2025
ipinfopage
General
IP Address
103.159.132.217
Location
🇲🇾 Malaysia
Network
AS55720
Threat Score
26/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
Malaysia
City
Unknown
Region
Unknown
Coordinates
2.5000, 112.5000
Network Information
ASN
AS55720
Organization
Gigabit Hosting Sdn Bhd
Network
AS55720 Gigabit Hosting Sdn Bhd
WHOIS Information
inetnum
103.159.132.0 - 103.159.133.255
netname
FBP-MY
descr
Furcop Blockchain PLT
country
MY
org
ORG-FBP1-AP
admin-c
FBPA1-AP
tech-c
FBPA1-AP
abuse-c
AF701-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-FBP-MY
mnt-lower
MAINT-FBP-MY
mnt-routes
MAINT-FBP-MY
mnt-irt
IRT-FBP-MY
last-modified
2021-06-11T13:12:46Z
irt
IRT-FBP-MY
address
2nd Floor Lot 10524 Jalan Tun Jugah, Kuching Sarawak 93350
e-mail
abuse@solemn.host
abuse-mailbox
abuse@solemn.host
organisation
ORG-FBP1-AP
org-name
Furcop Blockchain PLT
org-type
LIR
phone
+082752749
fax-no
+082752749
mnt-ref
APNIC-HM
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2025-08-07 | Perth, Australia | MULTIPLE | View Log |
- Country: Malaysia
- Network:
- Noticed: 3 times
- Protocols Attacked: SSH
- Countries Attacked: Australia
- Passive DNS Results: tacticrecycle.com organicturmeric.com 103-159-132-217.cprapid.com www.103-159-132-217.cprapid.com weddingpalettes.com www.weddingpalettes.com stickermetro.com www.demariasolutions.com demariasolutions.com www.pro-packaging.com pro-packaging.com frankbounce.com
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.159.132.217 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.