61.136.101.202 Threat Intelligence and Host Information

General

IP Address
61.136.101.202
IPv4 Address
Location
🇨🇳 Xinxiang, China
CN
Network
AS4837
CHINA UNICOM China169 Backbone
Threat Score
5/100
Low Risk
Geographic Location
Country
China
City
Xinxiang
Region
Henan
Coordinates
35.1874, 113.8025
Network Information
ASN
AS4837
Organization
CHINA UNICOM China169 Backbone
Network
AS4837 CHINA UNICOM China169 Backbone
WHOIS Information
inetnum
61.136.64.0 - 61.136.127.255
netname
UNICOM-CN
descr
CNC Group CHINA169 Henan Province Network
country
CN
admin-c
CH1302-AP
tech-c
CH1302-AP
abuse-c
AC1718-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CNCGROUP-RR
mnt-lower
MAINT-CN-CUCGROUP
mnt-routes
MAINT-CNCGROUP-RR
mnt-irt
IRT-CU-CN
last-modified
2008-09-04T07:54:44Z
irt
IRT-CU-CN
address
P.R.China
e-mail
hqs-ipabuse@chinaunicom.cn
abuse-mailbox
zhaoyz3@chinaunicom.cn
role
ABUSE CUCN
phone
+86-10-66259764
nic-hdl
CH1302-AP
person
ChinaUnicom Hostmaster
fax-no
+86-10-66259764
route
61.136.64.0/18
origin
AS4837

  • Country: China
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Passive DNS Results: shanzhanxia.cn minyue.sdrbgy.cn www.dianyiying.com baitai.sdrbgy.cn haomeng.sdrbgy.cn zhuainiukeji.com www.zhuainiukeji.com www.ecjinshi.com aidayue.sdrbgy.cn moyidaojia.zhimengo2o.com jhyjcgs.com renzhan1935.com shop.shanzhanxia.com anmo.sdrbgy.cn zhobang.com yanbitong.com moyidaojia.sdrbgy.cn anmo.shanzhanxia.com shangmen.shanzhanxia.com ecjinshi.com xinyue.sdrbgy.cn xiangyuedaojia.zhgou.co douyin.shanzhanxia.com v3.shanzhanxia.com ystqzg.com shanzhanxia.com www.shanzhanxia.com v2.shanzhanxia.com www.zhuainiukj.com zhuainiukj.com v1.shanzhanxia.com xixie.shanzhanxia.com
Disclaimer
This page contains threat intelligence information for the IPv4 address 61.136.101.202 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.