156.245.74.147 Threat Intelligence and Host Information

General

IP Address
156.245.74.147
IPv4 Address
Location
🇭🇰 Hong Kong
HK
Network
AS134548
DXTL Tseung Kwan O Service
Threat Score
7/100
Low Risk
Geographic Location
Country
Hong Kong
City
Unknown
Region
Unknown
Coordinates
22.2578, 114.1657
Network Information
ASN
AS134548
Organization
DXTL Tseung Kwan O Service
Network
AS134548 DXTL Tseung Kwan O Service
WHOIS Information
NetRange
156.245.0.0 - 156.245.255.255
CIDR
156.245.0.0/16
NetName
AFRINIC-ERX-156-245-0-0
NetHandle
NET-156-245-0-0-1
Parent
NET156 (NET-156-0-0-0-0)
NetType
Transferred to AfriNIC
OriginAS
Organization
African Network Information Center (AFRINIC)
RegDate
2004-05-17
Updated
2015-05-04
Comment
The African & Indian Ocean Internet Registry
Ref
https://rdap.arin.net/registry/entity/AFRINIC
OrgName
African Network Information Center
OrgId
AFRINIC
Address
Lot 19, Cybercity
City
Ebene
StateProv
PostalCode
Country
MU
OrgAbuseHandle
GENER11-ARIN
OrgAbuseName
Generic POC
OrgAbusePhone
+230 4666616
OrgAbuseEmail
abusepoc@afrinic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/GENER11-ARIN

  • Country: Hong Kong
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Passive DNS Results: helendry.com qjtttxinf.site kuckmfzaz.site tzwukrjtr.site bktddigbc.site sawnwrvqk.site mekjpufdg.site jwtrtkpzne.site spsrwxece.site yffmcthta.site bzaajpjtp.site manuelabiancospino.com 6canzi.com

Malware Detected on Host

Count: 2 f9818be7fb862de583dd6713ad939cca722c9a4d33d888f3f4c5df4dd5264893 afa52e13a5421dec741aaf5df391311a9ca7b0e4d5642e7105c040e2825086d5

Disclaimer
This page contains threat intelligence information for the IPv4 address 156.245.74.147 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.