164.160.1.157 Threat Intelligence - Tunisia | IP Address Lookup

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General

IP Address
164.160.1.157
IPv4 Address
Location
🇹🇳 Tunisia
TN
Network
AS37717
Centre de Calcul El Khawarizmi
Threat Score
30/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
11 times
Protocols Attacked
combined portscan ssh
Geographic Location
Country
Tunisia
City
Unknown
Region
Unknown
Coordinates
34.0000, 9.0000
Network Information
ASN
AS37717
Organization
Centre de Calcul El Khawarizmi
Network
AS37717 Centre de Calcul El Khawarizmi
WHOIS Information
inetnum
164.160.1.0 - 164.160.1.255
netname
CCK-MESRSCLOUD-REGION1-DC1
descr
IPv4 assignment for MESRSCloud infrastructure operated by Centre de Calcul El Khawarizmi (CCK), used to host virtual machines, university applications, and research services for the higher education community in Tunisia.
country
TN
admin-c
TK33-AFRINIC
tech-c
TK33-AFRINIC
status
ASSIGNED PA
mnt-by
EL-Khawarizmi-MNT
parent
164.160.0.0 - 164.160.3.255
person
Tahar Khalfalli
address
CCK, Campus Universitaire de la Manouba, Manouba
phone
tel:+216-70-241-900
nic-hdl
TK33-AFRINIC
route
164.160.0.0/22
origin
AS37717
Attack Logs
DateTarget LocationProtocolLink
2026-09-02 Digitaloceantoronto Combined Multiple View Log
2026-09-02 Toronto, Canada SSH View Log
2026-09-01 Toronto, Canada SSH View Log
2026-09-01 Digitaloceantoronto Combined Multiple View Log
2026-08-29 Digitaloceantoronto Combined Multiple View Log
2026-08-28 Digitaloceantoronto Combined Multiple View Log
2026-08-28 Toronto, Canada SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 164.160.1.157 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.