103.10.85.58 Threat Intelligence and Host Information
May 13, 2026
ipinfopage
General
IP Address
103.10.85.58
IPv4 Address
Network
AS4808
China Unicom Beijing Province Network
Threat Score
45/100
Medium Risk
bruteforcecowrieexploitexport-to-otxhoneypot24hactivityMISP
Geographic Location
Coordinates
34.7732, 113.7220
Network Information
Organization
China Unicom Beijing Province Network
Network
AS4808 China Unicom Beijing Province Network
WHOIS Information
inetnum
103.10.84.0 - 103.10.87.255
descr
Beijing, China, 100055
mnt-irt
IRT-ELINK-SPACE-CN
last-modified
2011-06-09T08:06:01Z
address
Beijing, China, 100055
abuse-mailbox
ipas@cnnic.cn
Attack Logs
| Date |
Target Location |
Protocol |
Link |
| 2026-04-15 |
Perth, Australia |
MULTIPLE |
View Log |
- Country: China
- Network:
- Noticed: 5 times
- Protocols Attacked: SSH
- Countries Attacked: Malaysia
CVEs Detected
CVE-2007-3205
CVE-2013-2220
CVE-2015-8866
CVE-2015-9253
CVE-2017-8923
CVE-2018-10545
CVE-2018-10546
CVE-2018-10547
CVE-2018-10548
CVE-2018-10549
CVE-2018-11756
CVE-2018-12882
CVE-2018-14851
CVE-2018-14883
CVE-2018-14884
CVE-2018-15132
CVE-2018-17082
CVE-2018-19518
CVE-2018-19935
CVE-2018-20783
CVE-2018-5711
CVE-2018-5712
CVE-2018-7584
CVE-2019-11036
CVE-2019-11038
CVE-2019-11039
CVE-2019-11040
CVE-2019-11041
CVE-2019-11042
CVE-2019-11043
CVE-2019-11044
CVE-2019-11045
CVE-2019-11046
CVE-2019-11047
CVE-2019-11048
CVE-2019-11050
CVE-2019-13224
CVE-2019-6977
CVE-2019-9020
CVE-2019-9021
CVE-2019-9022
CVE-2019-9023
CVE-2019-9024
CVE-2019-9637
CVE-2019-9638
CVE-2019-9639
CVE-2019-9640
CVE-2019-9641
CVE-2020-11579
CVE-2020-7059
CVE-2020-7060
CVE-2020-7061
CVE-2020-7062
CVE-2020-7063
CVE-2020-7064
CVE-2020-7066
CVE-2020-7067
CVE-2020-7068
CVE-2020-7069
CVE-2020-7070
CVE-2022-31628
CVE-2022-31629
CVE-2022-37454
CVE-2022-4900
CVE-2024-25117
CVE-2024-3566
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.10.85.58 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.