136.0.197.155 Threat Intelligence - United States | IP Address Lookup
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General
IP Address
136.0.197.155
Location
🇺🇸 Los Angeles, United States
Network
AS209604
Threat Score
2/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
mitre
Geographic Location
Country
United States
City
Los Angeles
Region
California
Coordinates
34.0544, -118.2440
Network Information
ASN
AS209604
Organization
2e Telekomunikasyon Ltd Sti
Network
AS209604 2e Telekomunikasyon Ltd Sti
Associated CVEs
WHOIS Information
NetRange
136.0.0.0 - 136.0.255.255
CIDR
136.0.0.0/16
NetName
ADCIL
NetHandle
NET-136-0-0-0-1
Parent
NET136 (NET-136-0-0-0-0)
NetType
Direct Allocation
Organization
Ace Data Centers II, L.L.C. (ADCIL)
RegDate
2012-05-11
Updated
2026-06-16
Comment
https://www.acedatacenter.com | https://www.aceips.com
Ref
https://rdap.arin.net/registry/ip/136.0.0.0
OrgName
Ace Data Centers II, L.L.C.
OrgId
ADCIL
Address
727 North 1550 East
City
Orem
StateProv
UT
PostalCode
84097
Country
US
OrgTechHandle
ACEAD-ARIN
OrgTechName
ACE ADMIN
OrgTechPhone
+1-801-900-5673
OrgTechEmail
admin@acedatacenter.com
OrgTechRef
https://rdap.arin.net/registry/entity/ACEAD-ARIN
OrgAbuseHandle
ABUSE8727-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-19 | Cve 2021 42013 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Webexploit Mitre T1083 Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Cve 2021 41773 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2026-05-08 | Cve 2024 4577 Attacker Ip List 2026 05 08 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 136.0.197.155 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.