128.1.43.230 Threat Intelligence and Host Information
Dec 16, 2024
ipinfopage
General
IP Address
128.1.43.230
Location
🇷🇺 Moscow, Russia
Network
AS135377
Threat Score
50/100
Attack Intelligence
MITRE ATT&CK Techniques
T1046 - Network Service Scanning, T1498 - Network Denial of Service
Open Ports Detected
22
Geographic Location
Country
Russia
City
Moscow
Region
Moscow
Coordinates
55.7483, 37.6171
Network Information
ASN
AS135377
Organization
UCLOUD INFORMATION TECHNOLOGY HK LIMITED
Network
AS135377 UCLOUD INFORMATION TECHNOLOGY HK LIMITED
WHOIS Information
NetRange
128.1.43.0 - 128.1.43.255
CIDR
128.1.43.0/24
NetName
ZL-MOW-UCLOUD-0033
NetHandle
NET-128-1-43-0-1
Parent
ZL-LAX3-003 (NET-128-1-0-0-1)
NetType
Reassigned
OriginAS
AS135377
Organization
UCLOUD (UCLOU-1)
RegDate
2019-02-28
Updated
2019-02-28
Ref
https://rdap.arin.net/registry/entity/UCLOU-1
OrgName
UCLOUD
OrgId
UCLOU-1
Address
FLAT/RM 603 6/ FLAWS COMMERCIAL PLAZA 788 CHEUNG SHA WAN ROAD KL
City
Hong Kong
StateProv
PostalCode
Country
HK
OrgTechHandle
IAU2-ARIN
OrgTechName
IP ABUSE Ucloud
OrgTechPhone
+86 17721465033
OrgTechEmail
unoc@ucloud.cn
OrgTechRef
https://rdap.arin.net/registry/entity/IAU2-ARIN
OrgAbuseHandle
IAU2-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2024-12-10 | Singapore | SNMP | View Log |
- Country: Russia
- Network:
- Noticed: 50 times
- Protocols Attacked: snmp
- Countries Attacked: Poland, Sweden
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2019-16905 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767
Disclaimer
This page contains threat intelligence information for the IPv4 address 128.1.43.230 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.