154.12.250.45 Threat Intelligence - United States | IP Address Lookup

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General

IP Address
154.12.250.45
IPv4 Address
Location
🇺🇸 Orangeburg, United States
US
Network
AS40021
Contabo Inc.
Threat Score
45/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
13 times
Protocols Attacked
combined portscan ssh
Passive DNS
webmail.smbdocs.com
Open Ports Detected
14325389443465587809999
Geographic Location
Country
United States
City
Orangeburg
Region
New York
Coordinates
41.0446, -73.9592
Network Information
ASN
AS40021
Organization
Contabo Inc.
Network
AS40021 Contabo Inc.
Associated CVEs
WHOIS Information
inetnum
154.12.0.0 - 154.12.255.255
netname
NET-154-12-0-0
descr
__________________________
country
MU
org
ORG-AFNC1-AFRINIC
admin-c
TEAM-AFRINIC
tech-c
TEAM-AFRINIC
status
ALLOCATED UNSPECIFIED
mnt-by
AFRINIC-HM-MNT
parent
154.0.0.0 - 154.255.255.255
organisation
ORG-AFNC1-AFRINIC
org-name
African Network Information Center - (AfriNIC) Ltd
org-type
RIR
address
11th Floor, Standard Chartered Tower
phone
tel:+230-466-6758
mnt-ref
AFRINIC-HM-MNT
role
AfriNIC TEAM
fax-no
tel:+230-466-6758
nic-hdl
TEAM-AFRINIC
Attack Logs
DateTarget LocationProtocolLink
2026-09-03 Digitaloceantoronto Combined Multiple View Log
2026-09-03 Toronto, Canada SSH View Log
2026-09-02 Digitaloceantoronto Combined Multiple View Log
2026-09-02 Toronto, Canada SSH View Log
2026-09-01 Toronto, Canada SSH View Log
2026-09-01 Digitaloceantoronto Combined Multiple View Log
2026-08-30 Toronto, Canada SSH View Log
2026-08-30 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 154.12.250.45 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.