104.155.127.42 Threat Intelligence and Host Information

General

IP Address
104.155.127.42
IPv4 Address
Location
🇺🇸 New York, United States
US
Network
AS396982
Google LLC
Threat Score
32/100
Medium Risk
cowriedionaeafatthoneytrapmailoneyp0fsensor-taggedsentrypeer
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
United States
City
New York
Region
New York
Coordinates
40.7503, -74.0014
Network Information
ASN
AS396982
Organization
Google LLC
Network
AS396982 Google LLC
WHOIS Information
NetRange
104.154.0.0 - 104.155.255.255
CIDR
104.154.0.0/15
NetName
GOOGLE-CLOUD
NetHandle
NET-104-154-0-0-1
Parent
NET104 (NET-104-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
Google LLC (GOOGL-2)
RegDate
2006-09-29
Updated
2019-11-01
Comment
Complaints sent to any other POC will be ignored.
Ref
https://rdap.arin.net/registry/entity/GOOGL-2
OrgName
Google LLC
OrgId
GOOGL-2
Address
1600 Amphitheatre Parkway
City
Mountain View
StateProv
CA
PostalCode
94043
Country
US
OrgTechHandle
ZG39-ARIN
OrgTechName
Google LLC
OrgTechPhone
+1-650-253-0000
OrgTechEmail
arin-contact@google.com
OrgTechRef
https://rdap.arin.net/registry/entity/ZG39-ARIN
Attack Logs
Date Target Location Protocol Link
2026-09-08 Vultrmelbournetest-Redis MULTIPLE View Log

  • Country: United States
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: redis

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2023-51767 CVE-2026-35385 CVE-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414 CVE-2026-59995 CVE-2026-59996 CVE-2026-59997 CVE-2026-59998 CVE-2026-59999 CVE-2026-60000 CVE-2026-60001 CVE-2026-60002

Disclaimer
This page contains threat intelligence information for the IPv4 address 104.155.127.42 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.