193.233.48.37 Threat Intelligence and Host Information

General

IP Address
193.233.48.37
IPv4 Address
Location
🇷🇺 Russia
RU
Network
AS210352
Partner LLC
Threat Score
22/100
Low Risk
phishingscam
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
Russia
City
Unknown
Region
Unknown
Coordinates
55.7386, 37.6068
Network Information
ASN
AS210352
Organization
Partner LLC
Network
AS210352 Partner LLC
WHOIS Information
inetnum
193.233.48.0 - 193.233.48.255
netname
GIR_SER-NET
org
ORG-GIR1-RIPE
country
RU
admin-c
EM13995-RIPE
tech-c
EM13995-RIPE
mnt-routes
FREENET-MNT
status
ASSIGNED PA
mnt-by
BX-NOC
created
2022-03-01T14:02:22Z
last-modified
2022-10-08T11:52:46Z
organisation
ORG-GIR1-RIPE
descr
GIR NETWORK
org-name
GLOBAL INTERNET SOLUTIONS LLC
org-type
OTHER
address
Vn.Ter.G. Gagarinsky Municipal District, Mayachnaya St., 13.
abuse-c
ACRO48094-RIPE
mnt-ref
ru-pev-1-mnt
person
Evgenii M.
phone
+7 (978) 643-46-76
nic-hdl
EM13995-RIPE
route
193.233.48.0/24
origin
AS210352

Malware Detected on Host

Count: 2 a12dfa7a3a389fbc9b29b19e86e2c2f3c38abe53fa2539d3a8273ce60fb47773 fafe59ccf285c600910197dfa88c8b7ee9346c4cb0fd8d6423f4d7826659f548

CVEs Detected

CVE-2018-16845 CVE-2019-11044 CVE-2019-11045 CVE-2019-11046 CVE-2019-11047 CVE-2019-11048 CVE-2019-11050 CVE-2019-20372 CVE-2019-9511 CVE-2019-9513 CVE-2019-9516 CVE-2020-7059 CVE-2020-7060 CVE-2020-7061 CVE-2020-7062 CVE-2020-7063 CVE-2020-7064 CVE-2020-7066 CVE-2020-7067 CVE-2020-7068 CVE-2020-7069 CVE-2020-7070 CVE-2021-23017 CVE-2021-3618 CVE-2022-31628 CVE-2022-31629 CVE-2022-37454

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Disclaimer
This page contains threat intelligence information for the IPv4 address 193.233.48.37 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.