108.181.23.27 Threat Intelligence - United States | IP Address Lookup
ipinfopage
Share on:
General
IP Address
108.181.23.27
Location
🇺🇸 Los Angeles, United States
Network
AS40676
Threat Score
15/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
exit
Open Ports Detected
2280
Geographic Location
Country
United States
City
Los Angeles
Region
California
Coordinates
34.0544, -118.2440
Network Information
ASN
AS40676
Organization
Psychz Networks
Network
AS40676 Psychz Networks
WHOIS Information
NetRange
108.180.0.0 - 108.181.255.255
CIDR
108.180.0.0/15
NetName
TELUS
NetHandle
NET-108-180-0-0-1
Parent
NET108 (NET-108-0-0-0-0)
NetType
Direct Allocation
Organization
TELUS Communications Inc. (TACE)
RegDate
2012-07-19
Updated
2012-07-19
Ref
https://rdap.arin.net/registry/ip/108.180.0.0
OrgName
TELUS Communications Inc.
OrgId
TACE
Address
510 W Georgia St
City
Vancouver
StateProv
BC
PostalCode
V6B 2A3
Country
CA
OrgTechHandle
TBOTP-ARIN
OrgTechName
TELUS BC ORG TECH POC
OrgTechPhone
+1-877-310-8324
OrgTechEmail
IPadmin@telus.com
OrgTechRef
https://rdap.arin.net/registry/entity/TBOTP-ARIN
OrgAbuseHandle
AAT-ARIN
OrgAbuseName
Abuse at TELUS
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-21 | Tor Exit Node Ip List 2026 08 21 | Multiple | View Log |
| 2026-08-20 | Tor Exit Node Ip List 2026 08 20 | Multiple | View Log |
| 2026-08-19 | Tor Exit Node Ip List 2026 08 19 | Multiple | View Log |
| 2026-08-18 | Tor Exit Node Ip List 2026 08 18 | Multiple | View Log |
| 2026-08-17 | Tor Exit Node Ip List 2026 08 17 | Multiple | View Log |
Additional Intelligence
Tor Exit Node
Yes
Disclaimer
This page contains threat intelligence information for the IPv4 address 108.181.23.27 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.