185.130.50.204 Threat Intelligence - Iran | IP Address Lookup
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General
IP Address
185.130.50.204
Location
🇮🇷 Iran
Network
AS201634
Threat Score
35/100
Attack Intelligence
Noticed
8 times
Protocols Attacked
combined portscan ssh
Countries Attacked
Finland, France, Germany, Poland, United States of America
Passive DNS
naclwhat.us
Open Ports Detected
1432225338934784434655353587808188993
Geographic Location
Country
Iran
City
Unknown
Region
Unknown
Coordinates
35.6980, 51.4115
Network Information
ASN
AS201634
Organization
Mizban Dade Shetaban Co. (Ltd)
Network
AS201634 Mizban Dade Shetaban Co. (Ltd)
WHOIS Information
inetnum
185.130.50.0 - 185.130.50.255
netname
IR-SHETABAN-20240111
country
IR
org
ORG-MDSC6-RIPE
admin-c
TA8467-RIPE
tech-c
TA8467-RIPE
status
ALLOCATED PA
mnt-by
lir-ir-shetaban-1-MNT
mnt-lower
lir-ir-shetaban-1-MNT
mnt-routes
lir-ir-shetaban-1-MNT
created
2024-01-11T15:07:38Z
last-modified
2024-01-11T15:07:38Z
organisation
ORG-MDSC6-RIPE
org-name
Mizban Dade Shetaban Co. (Ltd)
reg-nr
14007758399 // 12170
org-type
LIR
address
Unit 3, Omid Building, 22Bahman Highway
phone
+982491311031
abuse-c
AR69212-RIPE
mnt-ref
lir-ir-shetaban-1-MNT
role
Technical
nic-hdl
TA8467-RIPE
route
185.130.50.0/24
origin
AS201634
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-21 | Vultrmelbournetest | SSH | View Log |
| 2026-08-21 | Vultrtokyo Combined | Multiple | View Log |
| 2026-08-21 | Vultrtokyo | SSH | View Log |
| 2026-08-21 | Vultrmelbournetest Combined | Multiple | View Log |
| 2026-08-20 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-20 | Vultrtokyo Combined | Multiple | View Log |
| 2026-08-20 | Toronto, Canada | SSH | View Log |
| 2026-08-20 | Vultrtokyo | SSH | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 185.130.50.204 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.