197.211.32.242 Threat Intelligence and Host Information

General

IP Address
197.211.32.242
IPv4 Address
Location
🇳🇬 Ilorin, Nigeria
NG
Network
AS37148
globacom-as
Threat Score
50/100
Medium Risk
01.10.202520252026-02atiffeedauto-generatedsecurityAutomated
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force, T1498 - Network Denial of Service
Open Ports Detected
10001
Geographic Location
Country
Nigeria
City
Ilorin
Region
Kwara State
Coordinates
8.4929, 4.5642
Network Information
ASN
AS37148
Organization
globacom-as
Network
AS37148 globacom-as
WHOIS Information
inetnum
197.211.32.0 - 197.211.63.255
netname
GLO-1
descr
GLO-1
country
NG
org
ORG-GL1-AFRINIC
admin-c
OO162-AFRINIC
tech-c
OO162-AFRINIC
status
ALLOCATED PA
mnt-by
GLO-ONLINE-ADMIN
mnt-lower
GLO-ONLINE-ADMIN
parent
197.0.0.0 - 197.255.255.255
organisation
ORG-GL1-AFRINIC
org-name
Globacom Limited
org-type
LIR
address
Nigeria
phone
tel:+234-805-557-4925
mnt-ref
GLO-ONLINE-ADMIN
person
OLUWATOSIN OLUDARE
nic-hdl
OO162-AFRINIC
route
197.211.32.0/24
origin
AS37148

  • Country: Nigeria
  • Network:
  • Noticed: 29 times
  • Protocols Attacked: portscan
  • Countries Attacked: Belgium, Finland, France, Germany, Poland, United States of America

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2014-2532 CVE-2014-2653 CVE-2015-5352 CVE-2015-5600 CVE-2015-6563 CVE-2015-6564 CVE-2016-0777 CVE-2016-0778 CVE-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-1908 CVE-2016-20012 CVE-2016-3115 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2026-35414

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Disclaimer
This page contains threat intelligence information for the IPv4 address 197.211.32.242 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.