117.27.93.170 Threat Intelligence and Host Information
Apr 20, 2025
ipinfopage
General
IP Address
117.27.93.170
Location
🇨🇳 Fuzhou, China
Network
AS4134
Threat Score
60/100
Attack Intelligence
MITRE ATT&CK Techniques
T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.004 - Credential Stuffing, T1110 - Brute Force
Open Ports Detected
4433
Geographic Location
Country
China
City
Fuzhou
Region
Fujian
Coordinates
26.0492, 119.2906
Network Information
ASN
AS4134
Organization
Chinanet
Network
AS4134 Chinanet
WHOIS Information
inetnum
117.24.0.0 - 117.31.255.255
netname
CHINANET-FJ
descr
7,East Street ,Fuzhou ,Fujian ,PRC
country
CN
admin-c
FH71-AP
tech-c
FH71-AP
abuse-c
AC1573-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CHINANET
mnt-lower
MAINT-CHINANET-FJ
mnt-routes
MAINT-CHINANET-FJ
mnt-irt
IRT-CHINANET-CN
last-modified
2022-02-28T06:53:44Z
irt
IRT-CHINANET-CN
address
100032
e-mail
anti-spam@chinatelecom.cn
abuse-mailbox
anti-spam@chinatelecom.cn
role
CHINANETFJ IP ADMIN
phone
+86-10-58501724
nic-hdl
CH93-AP
fax-no
+86-10-58501724
notify
fjnic@fjdcb.fz.fj.cn
person
Chinanet Hostmaster
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2025-04-20 | London, UK | SSH | View Log |
- Country: China
- Network:
- Noticed: 44 times
- Protocols Attacked: ssh
- Countries Attacked: Australia, Poland, Sweden
CVEs Detected
CVE-2009-1390 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 CVE-2017-3735 CVE-2017-3736 CVE-2017-3737 CVE-2017-3738 CVE-2018-0732 CVE-2018-0734 CVE-2018-0737 CVE-2018-0739 CVE-2018-5407 CVE-2019-1547 CVE-2019-1551 CVE-2019-1552 CVE-2019-1559 CVE-2019-1563 CVE-2020-1968 CVE-2020-1971 CVE-2021-23840 CVE-2021-23841 CVE-2021-3712 CVE-2021-4160 CVE-2022-0778 CVE-2022-1292 CVE-2022-2068 CVE-2022-4304 CVE-2023-0215 CVE-2023-0286 CVE-2023-0464 CVE-2023-0465 CVE-2023-0466 CVE-2023-2650 CVE-2023-3817 CVE-2023-5678 CVE-2024-0727
Disclaimer
This page contains threat intelligence information for the IPv4 address 117.27.93.170 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.