107.161.31.106 Threat Intelligence and Host Information

General

IP Address
107.161.31.106
IPv4 Address
Location
🇺🇸 Atlanta, United States
US
Network
AS3842
InMotion Hosting, Inc.
Threat Score
20/100
Low Risk
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
United States
City
Atlanta
Region
Georgia
Coordinates
33.7485, -84.3871
Network Information
ASN
AS3842
Organization
InMotion Hosting, Inc.
Network
AS3842 InMotion Hosting, Inc.
WHOIS Information
NetRange
107.161.16.0 - 107.161.31.255
CIDR
107.161.16.0/20
NetName
RAMNODE-7
NetHandle
NET-107-161-16-0-2
Parent
RAMNODE-7 (NET-107-161-16-0-1)
NetType
Reallocated
OriginAS
Organization
RAMNODE (IH-222)
RegDate
2021-04-01
Updated
2022-11-02
Ref
https://rdap.arin.net/registry/entity/IH-222
OrgName
RAMNODE
OrgId
IH-222
Address
360 N PACIFIC COAST HWY SUITE 1055
City
El Segundo
StateProv
CA
PostalCode
90245
Country
US
OrgTechHandle
RAMNO1-ARIN
OrgTechName
RamNode Team
OrgTechPhone
+1-888-321-4678
OrgTechEmail
noc@ramnode.com
OrgTechRef
https://rdap.arin.net/registry/entity/RAMNO1-ARIN
OrgAbuseHandle
RAT31-ARIN

  • Country: United States
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: portscan ssh

CVEs Detected

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-2020-28018 CVE-2020-28019 CVE-2020-28021 CVE-2020-28022 CVE-2020-28023 CVE-2020-28024 CVE-2020-28025 CVE-2020-28026 CVE-2020-8015 CVE-2021-27216 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-2023-51766 CVE-2024-39929 CVE-2025-67896 CVE-2026-40684 CVE-2026-40685 CVE-2026-40686 CVE-2026-40687 CVE-2026-48840 CVE-2026-66140 CVE-2026-66141

Disclaimer
This page contains threat intelligence information for the IPv4 address 107.161.31.106 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.