129.45.25.17 Threat Intelligence - Algeria | IP Address Lookup
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General
IP Address
129.45.25.17
Location
🇩🇿 Tipasa, Algeria
Network
AS327931
Threat Score
0/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
Algeria
City
Tipasa
Region
Tipaza
Coordinates
36.5762, 2.4264
Network Information
ASN
AS327931
Organization
Optimum Telecom Algeria
Network
AS327931 Optimum Telecom Algeria
WHOIS Information
NetRange
129.45.0.0 - 129.45.255.255
CIDR
129.45.0.0/16
NetName
AFRINIC-ERX-129-45-0-0
NetHandle
NET-129-45-0-0-1
Parent
NET129 (NET-129-0-0-0-0)
NetType
Transferred to AfriNIC
Organization
African Network Information Center (AFRINIC)
RegDate
2010-11-19
Updated
2010-11-19
Comment
This IP address range is under AFRINIC responsibility.
Ref
https://rdap.arin.net/registry/ip/129.45.0.0
OrgName
African Network Information Center
OrgId
AFRINIC
Address
Level 11ABC
City
Ebene
Country
MU
OrgAbuseHandle
GENER11-ARIN
OrgAbuseName
Generic POC
OrgAbusePhone
+230 4666616
OrgAbuseEmail
abusepoc@afrinic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/GENER11-ARIN
OrgTechHandle
GENER11-ARIN
OrgTechName
Generic POC
OrgTechPhone
+230 4666616
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-21 | Webexploit Mitre T1593 Ip List 2026 10 21 | Multiple | View Log |
| 2026-10-21 | Webexploit Fake Googlebot Ip List 2026 10 21 | Multiple | View Log |
| 2026-07-16 | Webexploit Mitre T1593 Ip List 2026 07 16 | Multiple | View Log |
| 2026-07-16 | Webexploit Fake Googlebot Ip List 2026 07 16 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 129.45.25.17 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.