103.6.198.132 Threat Intelligence and Host Information

Sep 26, 2023 ipinfopage

General

IP Address
103.6.198.132
IPv4 Address
Location
🇲🇾 Malaysia
MY
Network
AS46015
Exa Bytes Network Sdn.Bhd.
Threat Score
10/100
Low Risk
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
Malaysia
City
Unknown
Region
Unknown
Coordinates
2.5000, 112.5000
Network Information
ASN
AS46015
Organization
Exa Bytes Network Sdn.Bhd.
Network
AS46015 Exa Bytes Network Sdn.Bhd.
WHOIS Information
inetnum
103.6.196.0 - 103.6.199.255
netname
EXABYTES-AS-AP
descr
Exa Bytes Network Sdn.Bhd.
country
MY
org
ORG-EBNS1-AP
admin-c
NN176-AP
tech-c
NN177-AP
abuse-c
AE273-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-MY-MSC-HOSTING
mnt-lower
MAINT-MY-MSC-HOSTING
mnt-routes
MAINT-MY-MSC-HOSTING
mnt-irt
IRT-EXABYTES-MY
last-modified
2021-06-01T09:09:36Z
irt
IRT-EXABYTES-MY
address
50200 Kuala Lumpur, Malaysia.
e-mail
noc-abuse@mschosting.com
abuse-mailbox
noc-abuse@mschosting.com
organisation
ORG-EBNS1-AP
org-name
Exa Bytes Network Sdn.Bhd.
org-type
LIR
phone
+60 (4) 630 8283
fax-no
+60 (4) 630 8288
mnt-ref
APNIC-HM

Malware Detected on Host

Count: 8 419580ac33b90cb8eab62f9f9532104417ab8e26e48edbfe73567c1a8269e2e2 bfd067f7a576cb6f77f4f65916137d1ebb9cbc0ea7388ba5ed1656ec5066248a fd924f52532276f99da0db91c940c2cfb218c3bbd29e707f98155f2b60db8a23 eff70de3df6d80f082cc37c54a672a7daf9647a3de8a8c067b5abf514c7f0e58 914dd658337645f5c15cdfa147f015659fdc41874aa952ed474019743664d393 0baed9b14b9f13ae683f6336918ee6b9cb8d185a17aefcc1863d1c19d65534b5 57bfb60a1f8c0e5f0ce7286440ac029c34160884ab75b131bed4b1942f9dfd05 92d6718b2ee2e206959cbc67866ee6fc427a0111ee931fa0ba799c1769adf42c

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Disclaimer
This page contains threat intelligence information for the IPv4 address 103.6.198.132 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.