174.140.163.189 Threat Intelligence and Host Information

General

IP Address
174.140.163.189
IPv4 Address
Location
🇺🇸 Portland, United States
US
Network
AS26388
FIBERFI
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
United States
City
Portland
Region
Oregon
Coordinates
45.5288, -122.6821
Network Information
ASN
AS26388
Organization
FIBERFI
Network
AS26388 FIBERFI
WHOIS Information
NetRange
174.140.163.0 - 174.140.163.255
CIDR
174.140.163.0/24
NetName
NET-174-140-163-0-24
NetHandle
NET-174-140-163-0-1
Parent
DSNETWORKS (NET-174-140-160-0-1)
NetType
Reassigned
OriginAS
AS26388
Organization
FIBERFI (CL-1457)
RegDate
2017-11-29
Updated
2017-11-29
Ref
https://rdap.arin.net/registry/entity/CL-1457
OrgName
FIBERFI
OrgId
CL-1457
Address
13024 SE 156th Ave
City
Happy Valley
StateProv
OR
PostalCode
97086
Country
US
OrgAbuseHandle
NOC32752-ARIN
OrgAbuseName
Network Operations Center
OrgAbusePhone
+1-503-505-9600
OrgAbuseEmail
noc@corepacket.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/NOC32752-ARIN
OrgNOCHandle
NOC32752-ARIN

  • Country: United States
  • Network: AS26388 fiberfi
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy

CVEs Detected

CVE-2007-2768 CVE-2007-3205 CVE-2008-3844 CVE-2013-2220 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-20372 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-23017 CVE-2021-3618 CVE-2021-36368 CVE-2021-41617 CVE-2022-31628 CVE-2022-31629 CVE-2022-31630 CVE-2022-37454 CVE-2023-38408 CVE-2023-44487 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2024-4577 CVE-2024-5458

Disclaimer
This page contains threat intelligence information for the IPv4 address 174.140.163.189 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.