137.220.57.104 Threat Intelligence and Host Information

General

IP Address
137.220.57.104
IPv4 Address
Location
🇺🇸 Elk Grove Village, United States
US
Network
AS20473
AS-CHOOPA
Threat Score
39/100
Medium Risk
bruteforceportscanscannerstelnetvultr
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
United States
City
Elk Grove Village
Region
Illinois
Coordinates
42.0026, -87.9644
Network Information
ASN
AS20473
Organization
AS-CHOOPA
Network
AS20473 AS-CHOOPA
WHOIS Information
NetRange
137.220.56.0 - 137.220.57.255
CIDR
137.220.56.0/23
NetName
NET-137-220-56-0-23
NetHandle
NET-137-220-56-0-1
Parent
CONSTANT (NET-137-220-32-0-1)
NetType
Reassigned
OriginAS
Organization
Vultr Holdings, LLC (VHL-56)
RegDate
2015-03-05
Updated
2024-04-04
Comment
http://www.constant.com/
Ref
https://rdap.arin.net/registry/entity/VHL-56
OrgName
Vultr Holdings, LLC
OrgId
VHL-56
Address
2200 Busse Rd.
City
Elk Grove Village
StateProv
IL
PostalCode
60007
Country
US
OrgNOCHandle
NETWO1159-ARIN
OrgNOCName
Network Operations
OrgNOCPhone
+1-973-849-0500
OrgNOCEmail
network@constant.com
OrgNOCRef
https://rdap.arin.net/registry/entity/NETWO1159-ARIN
Attack Logs
Date Target Location Protocol Link
2026-04-30 Vultrparis TELNET View Log

  • Country: United States
  • Network:
  • Noticed: 2 times
  • Protocols Attacked: portscan telnet

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2019-16905 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728 CVE-2026-35414

Disclaimer
This page contains threat intelligence information for the IPv4 address 137.220.57.104 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.