49.70.190.176 Threat Intelligence and Host Information
Mar 26, 2025
ipinfopage
General
IP Address
49.70.190.176
IPv4 Address
Location
🇨🇳 Zhenjiang, China
CN
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
50000
Geographic Location
Coordinates
32.2147, 119.4544
WHOIS Information
inetnum
49.64.0.0 - 49.95.255.255
descr
260 Zhongyang Road,Nanjing 210037
notify
jsipmanager@163.com
mnt-lower
MAINT-CHINANET-JS
mnt-routes
MAINT-CHINANET-JS
last-modified
2022-03-15T07:09:00Z
e-mail
jsipmanager@163.com
abuse-mailbox
anti-spam@chinatelecom.cn
person
CHINANET-JS Security Administrater
- Country: China
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2007-2768
CVE-2008-3844
CVE-2016-10002
CVE-2016-10003
CVE-2016-20012
CVE-2017-15906
CVE-2018-15473
CVE-2018-15919
CVE-2018-19131
CVE-2018-19132
CVE-2018-20685
CVE-2019-12519
CVE-2019-12520
CVE-2019-12521
CVE-2019-12522
CVE-2019-12523
CVE-2019-12524
CVE-2019-12525
CVE-2019-12526
CVE-2019-12528
CVE-2019-12529
CVE-2019-13345
CVE-2019-18676
CVE-2019-18677
CVE-2019-18678
CVE-2019-18679
CVE-2019-18860
CVE-2019-6109
CVE-2019-6110
CVE-2019-6111
CVE-2020-11945
CVE-2020-14058
CVE-2020-14145
CVE-2020-15049
CVE-2020-15778
CVE-2020-15810
CVE-2020-15811
CVE-2020-24606
CVE-2020-25097
CVE-2020-8449
CVE-2020-8450
CVE-2020-8517
CVE-2021-28116
CVE-2021-28651
CVE-2021-28652
CVE-2021-31806
CVE-2021-31807
CVE-2021-31808
CVE-2021-33620
CVE-2021-36368
CVE-2021-41617
CVE-2021-46784
CVE-2022-41318
CVE-2023-38408
CVE-2023-46724
CVE-2023-46728
CVE-2023-46846
CVE-2023-46847
CVE-2023-48795
CVE-2023-49285
CVE-2023-49286
CVE-2023-49288
CVE-2023-50269
CVE-2023-51385
CVE-2023-51767
CVE-2023-5824
CVE-2024-25617
CVE-2024-45802
CVE-2025-26465
Disclaimer
This page contains threat intelligence information for the IPv4 address 49.70.190.176 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.