148.113.136.5 Threat Intelligence and Host Information

General

IP Address
148.113.136.5
IPv4 Address
Location
🇨🇦 Canada
CA
Network
AS16276
OVH SAS
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
111
Geographic Location
Country
Canada
City
Unknown
Region
Unknown
Coordinates
43.6319, -79.3716
Network Information
ASN
AS16276
Organization
OVH SAS
Network
AS16276 OVH SAS
WHOIS Information
NetRange
148.113.136.0 - 148.113.143.255
CIDR
148.113.136.0/21
NetName
PCI-BHS5
NetHandle
NET-148-113-136-0-1
Parent
HO-2 (NET-148-113-0-0-1)
NetType
Reassigned
OriginAS
AS16276
Organization
OVH Hosting, Inc. (HO-2)
RegDate
2011-06-22
Updated
2023-01-30
Ref
https://rdap.arin.net/registry/entity/HO-2
OrgName
OVH Hosting, Inc.
OrgId
HO-2
Address
800-1801 McGill College
City
Montreal
StateProv
QC
PostalCode
H3A 2N4
Country
CA
OrgAbuseHandle
ABUSE3956-ARIN
OrgAbuseName
Abuse
OrgAbusePhone
+1-855-684-5463
OrgAbuseEmail
abuse@ovh.ca
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE3956-ARIN
OrgTechHandle
NOC11876-ARIN

  • Country: Canada
  • Network: AS16276 ovh sas
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy

CVEs Detected

CVE-2007-2768 CVE-2007-3205 CVE-2008-3844 CVE-2013-2220 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-21708 CVE-2021-36368 CVE-2021-41617 CVE-2022-31625 CVE-2022-31626 CVE-2022-31627 CVE-2022-31628 CVE-2022-31629 CVE-2022-31630 CVE-2022-37454 CVE-2023-0567 CVE-2023-0568 CVE-2023-0662 CVE-2023-3247 CVE-2023-3823 CVE-2023-3824 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2024-2408 CVE-2024-4577 CVE-2024-5458 CVE-2024-5585

Disclaimer
This page contains threat intelligence information for the IPv4 address 148.113.136.5 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.