102.134.130.38 Threat Intelligence and Host Information
Nov 14, 2024
ipinfopage
General
IP Address
102.134.130.38
IPv4 Address
Network
AS328353
MethodistUniversity-AS
Threat Score
15/100
Low Risk
Geographic Location
Coordinates
8.1000, -1.2000
Network Information
Organization
MethodistUniversity-AS
Network
AS328353 MethodistUniversity-AS
WHOIS Information
inetnum
102.134.130.0 - 102.134.131.255
netname
MethodistUniversity-v4
parent
102.0.0.0 - 102.255.255.255
organisation
ORG-MUCG1-AFRINIC
org-name
Methodist University College Ghana
phone
tel:+233-26-293-0202
person
Frederick Edem Broni
- Country: Ghana
- Network: AS328353 african network information center
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2006-20001
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-2019-17567
CVE-2020-11022
CVE-2020-11023
CVE-2020-11984
CVE-2020-11993
CVE-2020-13938
CVE-2020-13950
CVE-2020-1927
CVE-2020-1934
CVE-2020-35452
CVE-2020-9490
CVE-2021-26690
CVE-2021-26691
CVE-2021-30641
CVE-2021-32785
CVE-2021-32786
CVE-2021-32791
CVE-2021-32792
CVE-2021-33193
CVE-2021-34798
CVE-2021-36160
CVE-2021-39275
CVE-2021-40438
CVE-2021-44224
CVE-2021-44790
CVE-2022-22719
CVE-2022-22720
CVE-2022-22721
CVE-2022-23943
CVE-2022-26377
CVE-2022-28330
CVE-2022-28614
CVE-2022-28615
CVE-2022-29404
CVE-2022-30556
CVE-2022-31813
CVE-2022-36760
CVE-2022-37436
CVE-2023-25690
CVE-2023-27522
CVE-2023-31122
CVE-2023-45802
CVE-2024-27316
CVE-2024-38474
CVE-2024-38476
CVE-2024-38477
CVE-2024-40898
Disclaimer
This page contains threat intelligence information for the IPv4 address 102.134.130.38 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.