105.214.98.98 Threat Intelligence and Host Information
Apr 23, 2025
ipinfopage
General
IP Address
105.214.98.98
Location
🇿🇦 South Africa
Network
AS16637
Threat Score
15/100
Attack Intelligence
Open Ports Detected
161
Geographic Location
Country
South Africa
City
Unknown
Region
Unknown
Coordinates
-29.0000, 24.0000
Network Information
ASN
AS16637
Organization
MTN Business Solutions
Network
AS16637 MTN Business Solutions
WHOIS Information
inetnum
105.208.0.0 - 105.223.255.255
netname
MTN-SA
descr
MTN SA
country
ZA
org
ORG-VSA1-AFRINIC
admin-c
AT32-AFRINIC
tech-c
AT32-AFRINIC
status
ALLOCATED PA
mnt-by
GENERATED-C8SUDYYLB1HFQ4IWUKAD8NC3ZGJ4ZYPJ-MNT
mnt-lower
MTNSA-MNT
mnt-domains
MTNSA-MNT
parent
105.0.0.0 - 105.255.255.255
organisation
ORG-VSA1-AFRINIC
org-name
MTN SA
org-type
LIR
address
South Africa
phone
tel:+27-83-212-2310
mnt-ref
MTNSA-MNT
person
Dijon Mannie
nic-hdl
DM117-AFRINIC
- Country: South Africa
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
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 105.214.98.98 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.