160.30.238.40 Threat Intelligence - Bangladesh | IP Address Lookup

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General

IP Address
160.30.238.40
IPv4 Address
Location
🇧🇩 Bangladesh
BD
Network
AS153310
The ACME Laboratories Limited
Threat Score
45/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
7 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
110143222544346558780993995
Geographic Location
Country
Bangladesh
City
Unknown
Region
Unknown
Coordinates
23.7018, 90.3742
Network Information
ASN
AS153310
Organization
The ACME Laboratories Limited
Network
AS153310 The ACME Laboratories Limited
Associated CVEs
WHOIS Information
NetRange
160.21.176.0 - 160.30.255.255
CIDR
160.30.0.0/16, 160.21.176.0/20, 160.22.0.0/15, 160.28.0.0/15, 160.21.192.0/18, 160.24.0.0/14
NetName
APNIC
NetHandle
NET-160-21-176-0-1
Parent
NET160 (NET-160-0-0-0-0)
NetType
Early Registrations, Transferred to APNIC
Organization
Asia Pacific Network Information Centre (APNIC)
RegDate
2017-09-05
Updated
2026-08-11
Ref
https://rdap.arin.net/registry/ip/160.21.176.0
OrgName
Asia Pacific Network Information Centre
OrgId
APNIC
Address
PO Box 3646
City
South Brisbane
StateProv
QLD
PostalCode
4101
Country
AU
OrgAbuseHandle
AWC12-ARIN
OrgAbuseName
APNIC Whois Contact
OrgAbusePhone
+61 7 3858 3188
OrgAbuseEmail
search-apnic-not-arin@apnic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/AWC12-ARIN
OrgTechHandle
AWC12-ARIN
OrgTechName
APNIC Whois Contact
Attack Logs
DateTarget LocationProtocolLink
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
Disclaimer
This page contains threat intelligence information for the IPv4 address 160.30.238.40 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.