103.30.180.99 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
103.30.180.99
Location
🇮🇩 Indonesia
Network
AS45302
Threat Score
35/100
Attack Intelligence
Noticed
10 times
Protocols Attacked
combined portscan ssh
Passive DNS
intra.instiperjogja.ac.id
Open Ports Detected
1101121114316138944346552695877071995
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1750, 106.8286
Network Information
ASN
AS45302
Organization
PT DES Teknologi Informasi
Network
AS45302 PT DES Teknologi Informasi
WHOIS Information
inetnum
103.30.180.0 - 103.30.183.255
netname
DESNET-ID
descr
PT. DES TEKNOLOGI INFORMASI
admin-c
TS490-AP
tech-c
TS490-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-lower
MAINT-ID-DESNET
mnt-routes
MAINT-ID-DESNET
mnt-irt
IRT-IDNIC-ID
status
ALLOCATED PORTABLE
last-modified
2012-11-09T03:50:01Z
irt
IRT-IDNIC-ID
address
INDONESIA NETWORK INFORMATION CENTER
e-mail
abuse@idnic.net
abuse-mailbox
abuse@idnic.net
person
Tunggul Siswoyo
nic-hdl
TS490-AP
phone
+62-24-7473156
fax-no
+62-24-7473119
route
103.30.180.0/24
origin
AS45302
notify
noc@des.net.id
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-03 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-03 | Toronto, Canada | SSH | View Log |
| 2026-09-02 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-02 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Digitaloceantoronto Combined | Multiple | View Log |
Additional Intelligence
Threat Feeds / IP Sets
- nullsecure
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.30.180.99 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.