140.112.30.188 Threat Intelligence and Host Information

General

IP Address
140.112.30.188
IPv4 Address
Location
🇹🇼 Taipei, Taiwan
TW
Network
AS17716
National Taiwan University
Threat Score
25/100
Low Risk
portscanscannersvultr
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
Taiwan
City
Taipei
Region
Taipei City
Coordinates
25.0504, 121.5324
Network Information
ASN
AS17716
Organization
National Taiwan University
Network
AS17716 National Taiwan University
WHOIS Information
NetRange
140.109.0.0 - 140.138.255.255
CIDR
140.112.0.0/12, 140.136.0.0/15, 140.128.0.0/13, 140.138.0.0/16, 140.110.0.0/15, 140.109.0.0/16
NetName
APNIC-ERX-140-109-0-0
NetHandle
NET-140-109-0-0-1
Parent
NET140 (NET-140-0-0-0-0)
NetType
Early Registrations, Transferred to APNIC
OriginAS
Organization
Asia Pacific Network Information Centre (APNIC)
RegDate
Updated
2012-01-24
Comment
spam or abuse reports relating to these addresses. For more
Ref
https://rdap.arin.net/registry/entity/APNIC
OrgName
Asia Pacific Network Information Centre
OrgId
APNIC
Address
PO Box 3646
City
South Brisbane
StateProv
QLD
PostalCode
4101
Country
AU
OrgTechHandle
AWC12-ARIN
OrgTechPhone
+61 7 3858 3188
OrgTechEmail
search-apnic-not-arin@apnic.net
OrgTechRef
https://rdap.arin.net/registry/entity/AWC12-ARIN
OrgAbuseHandle
AWC12-ARIN

  • Country: Taiwan
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH

CVEs Detected

CVE-2007-2243 CVE-2007-2768 CVE-2008-3844 CVE-2023-51767

Similar IP Addresses Detected

140.112.136.131 140.112.147.148 140.112.152.129 140.112.202.132 140.112.23.146 140.112.28.243 140.112.90.49

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Disclaimer
This page contains threat intelligence information for the IPv4 address 140.112.30.188 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.