197.254.238.254 Threat Intelligence and Host Information

General

IP Address
197.254.238.254
IPv4 Address
Location
🇸🇩 Sudan
SD
Network
AS33788
KANARTEL
Threat Score
55/100
High Risk
BlacklistDNSBLSPAM
Attack Intelligence
MITRE ATT&CK Techniques
T1046 - Network Service Scanning, T1110.003 - Password Spraying, T1110 - Brute Force, T1583.005 - Botnet
Open Ports Detected
123
Geographic Location
Country
Sudan
City
Unknown
Region
Unknown
Coordinates
16.0000, 30.0000
Network Information
ASN
AS33788
Organization
KANARTEL
Network
AS33788 KANARTEL
WHOIS Information
inetnum
197.254.236.0 - 197.254.239.255
netname
CDMA1X-EVDO
descr
CDMA1X/EVDO
country
SD
admin-c
MSMA1-AFRINIC
tech-c
MSMA1-AFRINIC
status
ASSIGNED PA
mnt-by
GENERATED-1HAMODCBYI7MF8857ZDR5VOIMFANYSPE-MNT
parent
197.254.224.0 - 197.254.255.255
person
Mohamed Sayed Mohamed Adam
address
CANAR TELECOM
phone
tel:+249-15-555-2724
nic-hdl
MSMA1-AFRINIC
Attack Logs
Date Target Location Protocol Link
2024-06-03 Vultrmadrid SSH View Log

  • Country: Sudan
  • Network: AS33788 african network information center
  • Noticed: 13 times
  • Protocols Attacked: ssh
  • Countries Attacked: Belgium

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2015-8325 CVE-2016-0777 CVE-2016-0778 CVE-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-1907 CVE-2016-1908 CVE-2016-20012 CVE-2016-3115 CVE-2016-6210 CVE-2016-6515 CVE-2016-8858 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-19052 CVE-2018-20685 CVE-2019-11072 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

Disclaimer
This page contains threat intelligence information for the IPv4 address 197.254.238.254 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.