156.245.240.236 Threat Intelligence and Host Information

General

IP Address
156.245.240.236
IPv4 Address
Location
🇭🇰 Hong Kong
HK
Network
AS134548
DXTL Tseung Kwan O Service
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
443
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: AS134548 dxtl tseung kwan o service
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Passive DNS Results: kxee.net tujiuma.net www.www688ut.com ci22.net chuququ.net www688ut.com

Malware Detected on Host

Count: 2 e3f172b535b2c903e22883dc3cc91eaf6af1735bc83dbedd5f159ccb79f9420a 3d8629071150f3f9aa0948bf2b1a038ab673b2c02888442109667d86cb75db1e

CVEs Detected

CVE-2015-9251 CVE-2019-11358 CVE-2020-11022 CVE-2020-11023

Disclaimer
This page contains threat intelligence information for the IPv4 address 156.245.240.236 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.