91.146.101.135 Threat Intelligence and Host Information

Oct 21, 2023 ipinfopage

General

IP Address
91.146.101.135
IPv4 Address
Location
🇪🇸 Orihuela, Spain
ES
Network
AS198066
Grupo Loading Systems, S.L.
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
Spain
City
Orihuela
Region
Valencia
Coordinates
38.0849, -0.9455
Network Information
ASN
AS198066
Organization
Grupo Loading Systems, S.L.
Network
AS198066 Grupo Loading Systems, S.L.
WHOIS Information
inetnum
91.146.100.0 - 91.146.101.255
netname
LOADING3
descr
Loading 101
country
ES
admin-c
JS10189-RIPE
tech-c
JS10189-RIPE
status
ASSIGNED PA
mnt-by
LOADING-MNT
mnt-lower
LOADING-MNT
mnt-routes
LOADING-MNT
created
2014-11-13T18:32:43Z
last-modified
2014-11-13T18:32:43Z
person
Javier Narvaez Segura
address
Gabriel Sijé, 14, Bajo
phone
+34966343060
nic-hdl
JS10189-RIPE
route
91.146.101.0/24
origin
AS198066

CVEs Detected

CVE-2021-3711 CVE-2021-3712 CVE-2021-4160 CVE-2022-0778 CVE-2022-1292 CVE-2022-2068 CVE-2022-2097 CVE-2022-4304 CVE-2022-4450 CVE-2023-0215 CVE-2023-0286 CVE-2023-0464 CVE-2023-0465 CVE-2023-0466 CVE-2023-2650 CVE-2023-3817 CVE-2023-4807

Share on:
Disclaimer
This page contains threat intelligence information for the IPv4 address 91.146.101.135 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.