156.255.1.144 Threat Intelligence and Host Information

General

IP Address
156.255.1.144
IPv4 Address
Location
🇳🇱 Amsterdam, Netherlands
NL
Network
AS212552
BitCommand LLC
Threat Score
46/100
Medium Risk
cowriemaliciousportscanscansftpsipsipviciousssh
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
22
Geographic Location
Country
Netherlands
City
Amsterdam
Region
North Holland
Coordinates
52.3759, 4.8975
Network Information
ASN
AS212552
Organization
BitCommand LLC
Network
AS212552 BitCommand LLC
WHOIS Information
NetRange
156.255.0.0 - 156.255.255.255
CIDR
156.255.0.0/16
NetName
AFRINIC-ERX-156-255-0-0
NetHandle
NET-156-255-0-0-1
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
Attack Logs
Date Target Location Protocol Link
2025-05-16 Warsaw, Poland TELNET View Log

  • Country: Netherlands
  • Network:
  • Noticed: 3 times
  • Protocols Attacked: telnet
  • Countries Attacked: Australia, Poland, Sweden
  • Passive DNS Results: eynakdigital.com

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-16905 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465

Disclaimer
This page contains threat intelligence information for the IPv4 address 156.255.1.144 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.