149.56.29.107 Threat Intelligence - Canada | IP Address Lookup
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General
IP Address
149.56.29.107
Location
🇨🇦 Montreal, Canada
Network
AS16276
Threat Score
60/100
Attack Intelligence
MITRE ATT&CK Techniques
T1032 - Standard Cryptographic Protocol, T1071.001 - Web Protocols, T1071.004 - DNS, T1090.003 - Multi-hop Proxy, T1132.001 - Standard Encoding, T1568.002 - Domain Generation Algorithms, T1573.001 - Symmetric Cryptography, T1573 - Encrypted Channel, T1595 - Active Scanning
Noticed
6 times
Protocols Attacked
combined portscan
Countries Attacked
Australia
Passive DNS
s1.gmslb.net
Open Ports Detected
30001300093001130017
Geographic Location
Country
Canada
City
Montreal
Region
Quebec
Coordinates
45.5075, -73.5887
Network Information
ASN
AS16276
Organization
OVH SAS
Network
AS16276 OVH SAS
WHOIS Information
NetRange
149.56.0.0 - 149.56.255.255
CIDR
149.56.0.0/16
NetName
HO-2
NetHandle
NET-149-56-0-0-1
Parent
NET149 (NET-149-0-0-0-0)
NetType
Direct Allocation
Organization
OVH Hosting, Inc. (HO-2)
RegDate
2016-02-09
Updated
2016-02-10
Ref
https://rdap.arin.net/registry/ip/149.56.0.0
OrgName
OVH Hosting, Inc.
OrgId
HO-2
Address
800-1801 McGill College
City
Montreal
StateProv
QC
PostalCode
H3A 2N4
Country
CA
OrgTechHandle
NOC11876-ARIN
OrgTechName
NOC
OrgTechPhone
+1-855-684-5463
OrgTechEmail
noc@ovh.net
OrgTechRef
https://rdap.arin.net/registry/entity/NOC11876-ARIN
OrgAbuseHandle
ABUSE3956-ARIN
OrgAbuseName
Abuse
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-08 | Vultrtokyo Combined | Multiple | View Log |
| 2026-09-07 | Vultrtokyo Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 149.56.29.107 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.