103.87.16.26 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
103.87.16.26
Location
🇮🇩 Indonesia
Network
AS136085
Threat Score
50/100
Attack Intelligence
MITRE ATT&CK Techniques
T1192 - Spearphishing Link, T1204.001 - Malicious Link, T1204.002 - Malicious File, T1566 - Phishing
Noticed
16 times
Protocols Attacked
combined portscan ssh
Countries Attacked
United Kingdom of Great Britain and Northern Ireland
Open Ports Detected
1101431611723200022254434655877071
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1750, 106.8286
Network Information
ASN
AS136085
Organization
Pemerintah Kabupaten Bojonegoro
Network
AS136085 Pemerintah Kabupaten Bojonegoro
WHOIS Information
inetnum
103.87.16.0 - 103.87.19.255
netname
IDNIC-BOJONEGORO-ID
descr
Pemerintah Kabupaten Bojonegoro
admin-c
HTF5-AP
tech-c
HTF5-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-irt
IRT-BOJONEGORO-ID
mnt-routes
MAINT-ID-BOJONEGORO
status
ASSIGNED PORTABLE
last-modified
2017-03-03T03:52:17Z
irt
IRT-BOJONEGORO-ID
address
Pemerintah Kabupaten Bojonegoro
e-mail
hostmaster@bojonegorokab.go.id
abuse-mailbox
hostmaster@bojonegorokab.go.id
person
Hostmaster Task Force
phone
+62-353-881454
nic-hdl
HTF5-AP
fax-no
+62-353-887206
route
103.87.16.0/24
origin
AS136085
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | Toronto, Canada | SSH | View Log |
| 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 |
| 2026-08-29 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-29 | Toronto, Canada | SSH | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.87.16.26 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.