128.199.205.41 Threat Intelligence - Singapore | IP Address Lookup

General

IP Address
128.199.205.41
IPv4 Address
Location
πŸ‡ΈπŸ‡¬ Singapore, Singapore
SG
Network
AS14061
DIGITALOCEAN-ASN
Threat Score
45/100
Medium Risk
abuseipdbauto-generated securitybrute forcebruteforceDDoSdigital oceanport 22RTBH
Attack Intelligence
MITRE ATT&CK Techniques
T1046 - Network Service Scanning, T1498 - Network Denial of Service, T1595 - Active Scanning
Noticed
49 times
Protocols Attacked
ssh
Countries Attacked
Australia, Sweden, United States of America
Passive DNS
fundamentor.com
Open Ports Detected
1232244380
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.3078, 103.6818
Network Information
ASN
AS14061
Organization
DIGITALOCEAN-ASN
Network
AS14061 DIGITALOCEAN-ASN
WHOIS Information
NetRange
128.199.0.0 - 128.199.255.255
CIDR
128.199.0.0/16
NetName
RIPE-ERX-128-199-0-0
NetHandle
NET-128-199-0-0-1
Parent
NET128 (NET-128-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
2007-03-20
Updated
2025-02-10
Ref
https://rdap.arin.net/registry/ip/128.199.0.0
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
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
OrgTechName
RIPE NCC Operations
OrgTechPhone
+31 20 535 4444
Attack Logs
DateTarget LocationProtocolLink
2026-05-12 London, UK SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 128.199.205.41 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.