46.20.106.102 Threat Intelligence and Host Information

General

IP Address
46.20.106.102
IPv4 Address
Location
🇱🇧 Lebanon
LB
Network
AS34458
Smart Networks S.a.r.l
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
10022
Geographic Location
Country
Lebanon
City
Unknown
Region
Unknown
Coordinates
33.8333, 35.8333
Network Information
ASN
AS34458
Organization
Smart Networks S.a.r.l
Network
AS34458 Smart Networks S.a.r.l
WHOIS Information
inetnum
46.20.106.0 - 46.20.106.127
netname
Ilya-Baykov
country
RU
geofeed
https://ib.systems/range.csv
org
ORG-HIP1-RIPE
admin-c
FRTS1-RIPE
tech-c
FRTS1-RIPE
abuse-c
ACRO38813-RIPE
status
ASSIGNED PA
mnt-by
interlir-mnt
created
2025-07-24T17:19:24Z
last-modified
2025-07-24T17:19:24Z
organisation
ORG-HIP1-RIPE
org-name
Baykov Ilya Sergeevich
org-type
OTHER
address
115088, Moscow, Ugreshskaya st, 2c147
mnt-ref
VPSVILLE-mnt
person
Fortis Host
phone
+79000116969
nic-hdl
FRTS1-RIPE
route
46.20.106.0/24
origin
AS41745

  • Country: Lebanon
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy
  • Passive DNS Results: invy.fun

Malware Detected on Host

Count: 1 fb76575455f834496b0c7dadb34855700d65ff26d7f38979c63d6867cecdaf89

CVEs Detected

CVE-2007-4723 CVE-2009-0796 CVE-2009-2299 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2023-38709 CVE-2024-24795 CVE-2024-27316 CVE-2024-36387 CVE-2024-38472 CVE-2024-38473 CVE-2024-38474 CVE-2024-38475 CVE-2024-38476 CVE-2024-38477 CVE-2024-39573 CVE-2024-40898 CVE-2024-42516 CVE-2024-43204 CVE-2024-43394 CVE-2024-47252 CVE-2025-23048 CVE-2025-49630 CVE-2025-49812 CVE-2025-53020 CVE-2025-55753 CVE-2025-58098 CVE-2025-59775 CVE-2025-65082 CVE-2025-66200

Disclaimer
This page contains threat intelligence information for the IPv4 address 46.20.106.102 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.