192.42.85.90 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
192.42.85.90
IPv4 Address
Location
🇮🇩 Parigi, Indonesia
ID
Network
AS139742
PT Ryndo Jaringan Nusantara
Threat Score
60/100
High Risk
bruteforcecowrieLatestmalwaremalware-deliveryphishingransomwaressh
Attack Intelligence
MITRE ATT&CK Techniques
T1059.004 - Unix Shell, T1078 - Valid Accounts, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.001 - Password Guessing, T1110 - Brute Force, T1190 - Exploit Public-Facing Application, T1496 - Resource Hijacking
Noticed
3 times
Protocols Attacked
web
Open Ports Detected
22443808080
Geographic Location
Country
Indonesia
City
Parigi
Region
Central Sulawesi
Coordinates
-0.8156, 120.1768
Network Information
ASN
AS139742
Organization
PT Ryndo Jaringan Nusantara
Network
AS139742 PT Ryndo Jaringan Nusantara
Associated CVEs
WHOIS Information
NetRange
192.42.84.0 - 192.42.86.255
CIDR
192.42.86.0/24, 192.42.84.0/23
NetName
APNIC-ERX-192-42-84-0
NetHandle
NET-192-42-84-0-1
Parent
NET192 (NET-192-0-0-0-0)
NetType
Early Registrations, Transferred to APNIC
Organization
Asia Pacific Network Information Centre (APNIC)
RegDate
2005-01-31
Updated
2009-10-08
Comment
This IP address range is not registered in the ARIN database.
Ref
https://rdap.arin.net/registry/ip/192.42.84.0
OrgName
Asia Pacific Network Information Centre
OrgId
APNIC
Address
PO Box 3646
City
South Brisbane
StateProv
QLD
PostalCode
4101
Country
AU
OrgTechHandle
AWC12-ARIN
OrgTechName
APNIC Whois Contact
OrgTechPhone
+61 7 3858 3188
OrgTechEmail
search-apnic-not-arin@apnic.net
OrgTechRef
https://rdap.arin.net/registry/entity/AWC12-ARIN
OrgAbuseHandle
AWC12-ARIN
Attack Logs
DateTarget LocationProtocolLink
2026-10-16 Cfglobal Web Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 192.42.85.90 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.