158.94.187.247 Threat Intelligence and Host Information

General

IP Address
158.94.187.247
IPv4 Address
Location
🇺🇸 Seattle, United States
US
Network
AS42969
Alpha Strike Labs GmbH
Threat Score
30/100
Low Risk
BlocklistcowriedigitaloceandionaeafatthoneytrapInbound
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
80
Geographic Location
Country
United States
City
Seattle
Region
Washington
Coordinates
47.6109, -122.3303
Network Information
ASN
AS42969
Organization
Alpha Strike Labs GmbH
Network
AS42969 Alpha Strike Labs GmbH
WHOIS Information
NetRange
158.94.0.0 - 158.94.255.255
CIDR
158.94.0.0/16
NetName
RIPE-ERX-158-94-0-0
NetHandle
NET-158-94-0-0-1
Parent
NET158 (NET-158-0-0-0-0)
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
Attack Logs
Date Target Location Protocol Link
2026-09-02 Digitaloceantoronto-Combined MULTIPLE View Log

  • Country: United States
  • Network:
  • Noticed: 8 times
  • Protocols Attacked: combined portscan
  • Countries Attacked: China, Germany, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America

Malware Detected on Host

Count:

Disclaimer
This page contains threat intelligence information for the IPv4 address 158.94.187.247 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.