47.246.42.230 Threat Intelligence and Host Information
Jun 19, 2024
ipinfopage
General
IP Address
47.246.42.230
Location
🇦🇺 Sydney, Australia
Network
AS24429
Threat Score
5/100
Attack Intelligence
Open Ports Detected
1935
Geographic Location
Country
Australia
City
Sydney
Region
New South Wales
Coordinates
-33.8715, 151.2006
Network Information
ASN
AS24429
Organization
Zhejiang Taobao Network Co.,Ltd
Network
AS24429 Zhejiang Taobao Network Co.,Ltd
WHOIS Information
NetRange
47.235.0.0 - 47.246.255.255
CIDR
47.246.0.0/16, 47.236.0.0/14, 47.240.0.0/14, 47.244.0.0/15, 47.235.0.0/16
NetName
AL-3
NetHandle
NET-47-235-0-0-1
Parent
NET47 (NET-47-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
Alibaba Cloud LLC (AL-3)
RegDate
2010-10-29
Updated
2023-05-09
Ref
https://rdap.arin.net/registry/entity/AL-3
OrgName
Alibaba Cloud LLC
OrgId
AL-3
Address
400 S El Camino Real, Suite 400
City
San Mateo
StateProv
CA
PostalCode
94402
Country
US
Comment
4. For network issue, please send email to this mail list: aliops-goc@list.alibaba-inc.com
OrgAbuseHandle
NETWO4028-ARIN
OrgAbuseName
Network Abuse
OrgAbusePhone
+1-408-785-5580
OrgAbuseEmail
intl-abuse@list.alibaba-inc.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/NETWO4028-ARIN
- Country: Australia
- Network: AS24429 zhejiang taobao network co. ltd
- Noticed: 1 times
- Protocols Attacked: SSH
- Passive DNS Results: www.sqcherry.com live-video-in.baidingapp.com imgs.static.pupumall.com www.worldmedia.top huanbo-engineering.com j120project.com asset-epromo.hanglung.ylshuma.com www.jdlinox.com szvoled.com www.syslmac.com www.ah696.cn ltbfloor.com static-xl.a.88cdn.com.w.kunlungr.com so.gushiwen.org.w.kunlunar.com m.gushiwen.org.w.kunlunar.com
Disclaimer
This page contains threat intelligence information for the IPv4 address 47.246.42.230 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.