161.35.70.4 Threat Intelligence and Host Information

General

IP Address
161.35.70.4
IPv4 Address
Location
🇩🇪 Frankfurt am Main, Germany
DE
Network
AS14061
DIGITALOCEAN-ASN
Threat Score
55/100
High Risk
blacklistbruteforcecowrieinitiatoripMaliciousIPMirai
Attack Intelligence
MITRE ATT&CK Techniques
T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.004 - Credential Stuffing, T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
Germany
City
Frankfurt am Main
Region
Hesse
Coordinates
50.1188, 8.6843
Network Information
ASN
AS14061
Organization
DIGITALOCEAN-ASN
Network
AS14061 DIGITALOCEAN-ASN
WHOIS Information
NetRange
161.35.0.0 - 161.35.255.255
CIDR
161.35.0.0/16
NetName
DIGITALOCEAN-161-35-0-0
NetHandle
NET-161-35-0-0-1
Parent
NET161 (NET-161-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS14061
Organization
DigitalOcean, LLC (DO-13)
RegDate
2012-05-14
Updated
2023-10-23
Comment
Ref
https://rdap.arin.net/registry/entity/DO-13
OrgName
DigitalOcean, LLC
OrgId
DO-13
Address
FL2
City
New York
StateProv
NY
PostalCode
10013
Country
US
OrgNOCHandle
NOC32014-ARIN
OrgNOCName
Network Operations Center
OrgNOCPhone
+1-347-875-6044
OrgNOCEmail
noc@digitalocean.com
OrgNOCRef
https://rdap.arin.net/registry/entity/NOC32014-ARIN
Attack Logs
Date Target Location Protocol Link
2024-01-10 Singapore SSH View Log

  • Country: Germany
  • Network: AS14061 digitalocean llc
  • Noticed: 10 times
  • Protocols Attacked: ssh
  • Countries Attacked: Germany, United Kingdom of Great Britain and Northern Ireland
  • Passive DNS Results: ssl.ecacfba95e97e1d983c3ac62f83f8626.kis.im
Disclaimer
This page contains threat intelligence information for the IPv4 address 161.35.70.4 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.