167.172.245.142 Threat Intelligence and Host Information

General

IP Address
167.172.245.142
IPv4 Address
Location
🇺🇸 Clifton, United States
US
Network
AS14061
DIGITALOCEAN-ASN
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
United States
City
Clifton
Region
New Jersey
Coordinates
40.8364, -74.1403
Network Information
ASN
AS14061
Organization
DIGITALOCEAN-ASN
Network
AS14061 DIGITALOCEAN-ASN
WHOIS Information
NetRange
167.172.0.0 - 167.172.255.255
CIDR
167.172.0.0/16
NetName
RIPE-ERX-167-172-0-0
NetHandle
NET-167-172-0-0-1
Parent
NET167 (NET-167-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
OriginAS
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
Updated
2013-07-29
Ref
https://rdap.arin.net/registry/entity/RIPE
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
StateProv
PostalCode
1001EB
Country
NL
OrgTechHandle
RNO29-ARIN
OrgTechName
RIPE NCC Operations
OrgTechPhone
+31 20 535 4444
OrgTechEmail
hostmaster@ripe.net
OrgTechRef
https://rdap.arin.net/registry/entity/RNO29-ARIN
OrgAbuseHandle
ABUSE3850-ARIN

  • Country: United States
  • Network:
  • Noticed: times
  • Protocols Attacked: portscan
  • Passive DNS Results: aulabarco.fundacionbarco.org

CVEs Detected

CVE-2007-4559 CVE-2009-2940 CVE-2009-3720 CVE-2013-0340 CVE-2015-20107 CVE-2016-3189 CVE-2018-25032 CVE-2019-12900 CVE-2020-10735 CVE-2020-29396 CVE-2021-28861 CVE-2021-29921 CVE-2021-3737 CVE-2022-0391 CVE-2022-26488 CVE-2022-37454 CVE-2022-42919 CVE-2022-45061 CVE-2023-24329 CVE-2023-27043 CVE-2023-36632 CVE-2023-40217 CVE-2024-6232 CVE-2024-7592 CVE-2024-9287 CVE-2025-12084 CVE-2025-12781 CVE-2025-13462 CVE-2025-13836 CVE-2025-13837 CVE-2025-6075 CVE-2026-3087 CVE-2026-3644 CVE-2026-4224 CVE-2026-4519 CVE-2026-6019 CVE-2026-7210

Share on:
Disclaimer
This page contains threat intelligence information for the IPv4 address 167.172.245.142 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.