41.184.188.49 Threat Intelligence and Host Information

General

IP Address
41.184.188.49
IPv4 Address
Location
🇳🇬 Lagos, Nigeria
NG
Network
AS29091
IPNXng
Threat Score
45/100
Medium Risk
3232-bitagentteslaAgentTeslaamadeyarmasciiasyncrat
Attack Intelligence
Open Ports Detected
2000
Geographic Location
Country
Nigeria
City
Lagos
Region
Lagos
Coordinates
6.4474, 3.3903
Network Information
ASN
AS29091
Organization
IPNXng
Network
AS29091 IPNXng
WHOIS Information
inetnum
41.184.160.0 - 41.184.191.255
netname
IPNXNG15
descr
Nigeria
country
NG
admin-c
AAA38-AFRINIC
tech-c
VU40-AFRINIC
status
ASSIGNED PA
mnt-by
NETCO-SERVICES-MNT
parent
41.184.0.0 - 41.184.255.255
role
ipNX LIR Operations
address
Nigeria
phone
tel:+234-1-628-0025
fax-no
tel:+234-1-261-4633
nic-hdl
NI6-AFRINIC
person
Najite Ikutegbe
route
41.184.188.0/24
origin
AS29091
Attack Logs
Date Target Location Protocol Link
2024-12-01 Vultrparis TELNET View Log

  • Country: Nigeria
  • Network:
  • Noticed: 22 times
  • Protocols Attacked: telnet
  • Countries Attacked: United States of America

CVEs Detected

CVE-2017-20149 CVE-2018-1156 CVE-2018-1157 CVE-2018-1158 CVE-2018-1159 CVE-2018-14847 CVE-2018-5951 CVE-2018-7445 CVE-2019-13074 CVE-2019-13954 CVE-2019-13955 CVE-2019-15055 CVE-2019-16160 CVE-2019-3924 CVE-2019-3943 CVE-2019-3976 CVE-2019-3977 CVE-2019-3978 CVE-2019-3979 CVE-2019-3981 CVE-2020-10364 CVE-2020-20021 CVE-2020-20217 CVE-2020-20220 CVE-2020-20221 CVE-2020-20225 CVE-2020-20230 CVE-2020-20247 CVE-2020-20249 CVE-2020-20250 CVE-2020-20252 CVE-2020-20253 CVE-2020-20254 CVE-2020-20262 CVE-2020-20264 CVE-2020-20265 CVE-2020-20266 CVE-2020-20267 CVE-2021-3014 CVE-2021-36613 CVE-2021-36614 CVE-2022-36522 CVE-2022-45313 CVE-2022-45315 CVE-2023-30799 CVE-2023-30800

Disclaimer
This page contains threat intelligence information for the IPv4 address 41.184.188.49 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.