130.226.254.28 Threat Intelligence and Host Information

General

IP Address
130.226.254.28
IPv4 Address
Location
🇩🇰 Aalborg, Denmark
DK
Network
AS1835
Danish network for Research and Educatio...
Threat Score
31/100
Medium Risk
2026-02AdbhoneyAutomatedInboundScanLAMPMaliciousIP
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
80
Geographic Location
Country
Denmark
City
Aalborg
Region
North Denmark
Coordinates
57.0394, 9.9135
Network Information
ASN
AS1835
Organization
Danish network for Research and Education
Network
AS1835 Danish network for Research and Education
WHOIS Information
NetRange
130.225.0.0 - 130.244.255.255
CIDR
130.228.0.0/14, 130.244.0.0/16, 130.226.0.0/15, 130.232.0.0/13, 130.240.0.0/14, 130.225.0.0/16
NetName
RIPE-ERX-130-225-0-0
NetHandle
NET-130-225-0-0-1
Parent
NET130 (NET-130-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
OriginAS
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
Updated
2013-07-29
Ref
https://rdap.arin.net/registry/entity/RIPE
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
StateProv
PostalCode
1001EB
Country
NL
OrgAbuseHandle
ABUSE3850-ARIN
OrgAbuseName
Abuse Contact
OrgAbusePhone
+31205354444
OrgAbuseEmail
abuse@ripe.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE3850-ARIN
OrgTechHandle
RNO29-ARIN

  • Country: Denmark
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Countries Attacked: United States of America

CVEs Detected

CVE-2023-44487 CVE-2025-23419

Similar IP Addresses Detected

130.226.168.233

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Disclaimer
This page contains threat intelligence information for the IPv4 address 130.226.254.28 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.