156.254.237.198 Threat Intelligence and Host Information

General

IP Address
156.254.237.198
IPv4 Address
Location
🇭🇰 Hong Kong
HK
Network
AS136800
Sun Network Hong Kong Limited - HongKong...
Threat Score
5/100
Low Risk
Attack Intelligence
Open Ports Detected
50070
Geographic Location
Country
Hong Kong
City
Unknown
Region
Unknown
Coordinates
22.2578, 114.1657
Network Information
ASN
AS136800
Organization
Sun Network Hong Kong Limited - HongKong Backbone
Network
AS136800 Sun Network Hong Kong Limited - HongKong Backbone
WHOIS Information
NetRange
156.254.0.0 - 156.254.255.255
CIDR
156.254.0.0/16
NetName
AFRINIC-ERX-156-254-0-0
NetHandle
NET-156-254-0-0-1
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
OrgTechHandle
GENER11-ARIN
OrgTechName
Generic POC
OrgTechPhone
+230 4666616
OrgTechEmail
abusepoc@afrinic.net
OrgTechRef
https://rdap.arin.net/registry/entity/GENER11-ARIN

  • Country: Hong Kong
  • Network: AS136800 sun network (hong kong) limited - hongkong backbone
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy
  • Passive DNS Results: gfgcn.com c5t2mpj.top ope99kq.top bccpb.com www.bccpb.com

Malware Detected on Host

Count: 1 ef8a1ed8c17054f7e61b16e3dc2badc9045b4983572190edc6f993b2422b154a

Disclaimer
This page contains threat intelligence information for the IPv4 address 156.254.237.198 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.