161.35.221.56 Threat Intelligence and Host Information
Oct 08, 2025
ipinfopage
General
IP Address
161.35.221.56
Location
🇩🇪 Frankfurt am Main, Germany
Network
AS14061
Threat Score
10/100
Attack Intelligence
Open Ports Detected
143
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
Organization
DigitalOcean, LLC (DO-13)
RegDate
2012-05-14
Updated
2025-04-11
Comment
Ref
https://rdap.arin.net/registry/entity/DO-13
OrgName
DigitalOcean, LLC
OrgId
DO-13
Address
105 Edgeview Drive, Suite 425
City
Broomfield
StateProv
CO
PostalCode
80021
Country
US
OrgAbuseHandle
DIGIT19-ARIN
OrgAbuseName
DigitalOcean Abuse
OrgAbusePhone
+1-646-827-4366
OrgAbuseEmail
abuse@digitalocean.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/DIGIT19-ARIN
- Country: Germany
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
Malware Detected on Host
Count:
CVEs Detected
CVE-2012-5671 CVE-2014-2957 CVE-2014-2972 CVE-2016-1531 CVE-2016-9963 CVE-2018-6789 CVE-2019-15846 CVE-2020-12783 CVE-2020-28007 CVE-2020-28008 CVE-2020-28009 CVE-2020-28010 CVE-2020-28011 CVE-2020-28012 CVE-2020-28013 CVE-2020-28014 CVE-2020-28015 CVE-2020-28016 CVE-2020-28017 CVE-2020-28020 CVE-2020-28021 CVE-2020-28022 CVE-2020-28023 CVE-2020-28024 CVE-2020-28025 CVE-2020-28026 CVE-2020-8015 CVE-2021-23017 CVE-2021-27216 CVE-2021-3618 CVE-2021-38371 CVE-2022-3559 CVE-2022-37451 CVE-2022-37452 CVE-2023-42114 CVE-2023-42115 CVE-2023-42116 CVE-2023-42117 CVE-2023-42119 CVE-2023-44487 CVE-2023-51766 CVE-2024-39929
Disclaimer
This page contains threat intelligence information for the IPv4 address 161.35.221.56 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.