80.65.223.224 Threat Intelligence and Host Information

General

IP Address
80.65.223.224
IPv4 Address
Location
🇩🇪 Berlin, Germany
DE
Network
AS48095
Xt Global Networks Ltd.
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
179
Geographic Location
Country
Germany
City
Berlin
Region
Land Berlin
Coordinates
52.5196, 13.4069
Network Information
ASN
AS48095
Organization
Xt Global Networks Ltd.
Network
AS48095 Xt Global Networks Ltd.
WHOIS Information
inetnum
80.65.222.0 - 80.65.223.255
netname
ELITEWORK-LLC
descr
EliteWork LLC
country
GB
org
ORG-EL285-RIPE
admin-c
CH10914-RIPE
tech-c
CH10914-RIPE
status
ASSIGNED PA
mnt-by
MNT-XTGLOBAL
mnt-lower
ip-RO
mnt-routes
MNT-XTGLOBAL
created
2019-03-25T12:29:45Z
last-modified
2019-03-25T12:29:45Z
organisation
ORG-EL285-RIPE
org-name
EliteWork LLC
org-type
OTHER
address
BRITISH VIRGIN ISLANDS
phone
+40 748 10 8000
abuse-c
AR41691-RIPE
mnt-ref
MNT-XTGLOBAL
role
XTGLOBAL NOC
abuse-mailbox
abuse@xtglobal.vg
nic-hdl
XN156-RIPE
route
80.65.220.0/22

  • Country: Germany
  • Network: AS48095 xt global networks ltd.
  • Noticed: 1 times
  • Protcols Attacked: Anonymous Proxy

CVEs Detected

CVE-2015-5400 CVE-2016-10002 CVE-2016-2390 CVE-2016-3947 CVE-2016-4553 CVE-2016-4554 CVE-2018-19131 CVE-2018-19132 CVE-2019-12519 CVE-2019-12520 CVE-2019-12521 CVE-2019-12522 CVE-2019-12523 CVE-2019-12524 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-2020-11945 CVE-2020-14058 CVE-2020-15049 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-2021-46784 CVE-2022-41318

Disclaimer
This page contains threat intelligence information for the IPv4 address 80.65.223.224 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.