170.106.179.118 Threat Intelligence and Host Information

General

IP Address
170.106.179.118
IPv4 Address
Location
🇺🇸 Santa Clara, United States
US
Network
AS132203
Tencent Building, Kejizhongyi Avenue
Threat Score
45/100
Medium Risk
bruteforcebruteforceBruteforceBrute-Forcecowriedigitalocean
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
United States
City
Santa Clara
Region
California
Coordinates
37.3530, -121.9543
Network Information
ASN
AS132203
Organization
Tencent Building, Kejizhongyi Avenue
Network
AS132203 Tencent Building, Kejizhongyi Avenue
WHOIS Information
NetRange
170.106.0.0 - 170.106.255.255
CIDR
170.106.0.0/16
NetName
APNIC
NetHandle
NET-170-106-0-0-1
Parent
NET170 (NET-170-0-0-0-0)
NetType
Early Registrations, Transferred to APNIC
OriginAS
Organization
Asia Pacific Network Information Centre (APNIC)
RegDate
Updated
2012-01-24
Ref
https://rdap.arin.net/registry/entity/APNIC
OrgName
Asia Pacific Network Information Centre
OrgId
APNIC
Address
PO Box 3646
City
South Brisbane
StateProv
QLD
PostalCode
4101
Country
AU
OrgTechHandle
AWC12-ARIN
OrgTechName
APNIC Whois Contact
OrgTechPhone
+61 7 3858 3188
OrgTechEmail
search-apnic-not-arin@apnic.net
OrgTechRef
https://rdap.arin.net/registry/entity/AWC12-ARIN
OrgAbuseHandle
AWC12-ARIN
Attack Logs
Date Target Location Protocol Link
2026-04-21 Vultrmelbournetest TELNET View Log

  • Country: United States
  • Network:
  • Noticed: 15 times
  • Protocols Attacked: portscan ssh telnet
  • Countries Attacked: Australia

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2023-38408 CVE-2023-48795 CVE-2023-51384 CVE-2023-51385 CVE-2023-51767 CVE-2024-6387 CVE-2025-26465 CVE-2025-32728 CVE-2026-35385 CVE-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414

Disclaimer
This page contains threat intelligence information for the IPv4 address 170.106.179.118 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.