156.240.120.78 Threat Intelligence and Host Information

General

IP Address
156.240.120.78
IPv4 Address
Location
🇭🇰 Hong Kong
HK
Network
AS55967
Beijing Baidu Netcom Science and Technol...
Threat Score
37/100
Medium Risk
Brute-ForceBruteforceSSHautomatedbruteforcebrute-forcebruteforce
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
Hong Kong
City
Unknown
Region
Unknown
Coordinates
22.2578, 114.1657
Network Information
ASN
AS55967
Organization
Beijing Baidu Netcom Science and Technology Co., Ltd.
Network
AS55967 Beijing Baidu Netcom Science and Technology Co., Ltd.
WHOIS Information
NetRange
156.240.0.0 - 156.240.255.255
CIDR
156.240.0.0/16
NetName
AFRINIC-ERX-156-240-0-0
NetHandle
NET-156-240-0-0-1
Parent
NET156 (NET-156-0-0-0-0)
NetType
Transferred to AfriNIC
OriginAS
Organization
African Network Information Center (AFRINIC)
RegDate
2004-05-17
Updated
2015-05-04
Comment
The African & Indian Ocean Internet Registry
Ref
https://rdap.arin.net/registry/entity/AFRINIC
OrgName
African Network Information Center
OrgId
AFRINIC
Address
Lot 19, Cybercity
City
Ebene
StateProv
PostalCode
Country
MU
OrgAbuseHandle
GENER11-ARIN
OrgAbuseName
Generic POC
OrgAbusePhone
+230 4666616
OrgAbuseEmail
abusepoc@afrinic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/GENER11-ARIN

  • Country: Hong Kong
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Countries Attacked: Australia

CVEs Detected

CVE-2006-5051 CVE-2007-2243 CVE-2007-2768 CVE-2008-3844 CVE-2016-10009 CVE-2023-28531 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

Similar IP Addresses Detected

156.240.135.214 156.240.136.68 156.240.197.138 156.240.26.176 156.240.34.127 156.240.96.199 156.240.99.124 156.240.99.166 156.240.99.248 156.240.99.77

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Disclaimer
This page contains threat intelligence information for the IPv4 address 156.240.120.78 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.