149.200.13.30 Threat Intelligence - Hungary | IP Address Lookup
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General
IP Address
149.200.13.30
Location
🇭🇺 Mátészalka, Hungary
Network
AS5483
Threat Score
49/100
Attack Intelligence
MITRE ATT&CK Techniques
T1059.004 - Unix Shell, T1078 - Valid Accounts, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.001 - Password Guessing, T1110 - Brute Force, T1190 - Exploit Public-Facing Application, T1496 - Resource Hijacking
Noticed
2 times
Protocols Attacked
combined telnet
Geographic Location
Country
Hungary
City
Mátészalka
Region
Szabolcs-Szatmár-Bereg
Coordinates
47.9555, 22.3207
Network Information
ASN
AS5483
Organization
Magyar Telekom Plc.
Network
AS5483 Magyar Telekom Plc.
WHOIS Information
NetRange
149.200.0.0 - 149.200.255.255
CIDR
149.200.0.0/16
NetName
RIPE-ERX-149-200-0-0
NetHandle
NET-149-200-0-0-1
Parent
NET149 (NET-149-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
2010-11-03
Updated
2025-02-10
Ref
https://rdap.arin.net/registry/ip/149.200.0.0
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
PostalCode
1001EB
Country
NL
OrgTechHandle
RNO29-ARIN
OrgTechName
RIPE NCC Operations
OrgTechPhone
+31 20 535 4444
OrgTechEmail
hostmaster@ripe.net
OrgTechRef
https://rdap.arin.net/registry/entity/RNO29-ARIN
OrgAbuseHandle
ABUSE3850-ARIN
OrgAbuseName
Abuse Contact
OrgAbusePhone
+31205354444
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-11 | Vultrtokyo | TELNET | View Log |
| 2026-10-11 | Vultrtokyo Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 149.200.13.30 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.