134.174.149.59 Threat Intelligence and Host Information
Sep 11, 2024
ipinfopage
General
IP Address
134.174.149.59
Location
🇺🇸 Boston, United States
Network
AS40127
Threat Score
15/100
Attack Intelligence
Open Ports Detected
25
Geographic Location
Country
United States
City
Boston
Region
Massachusetts
Coordinates
42.3464, -71.0975
Network Information
ASN
AS40127
Organization
LMANET
Network
AS40127 LMANET
WHOIS Information
NetRange
134.174.0.0 - 134.174.255.255
CIDR
134.174.0.0/16
NetName
HARVARD-LMA-AREA
NetHandle
NET-134-174-0-0-1
Parent
NET134 (NET-134-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS40127, AS1742
Organization
Longwood Medical and Academic Area (LMA) (LMA-4-Z)
RegDate
2023-06-28
Updated
2024-07-01
Ref
https://rdap.arin.net/registry/entity/LMA-4-Z
OrgName
Longwood Medical and Academic Area (LMA)
OrgId
LMA-4-Z
Address
784 Memorial Dr
City
Cambridge
StateProv
MA
PostalCode
02139
Country
US
OrgAbuseHandle
PMC277-ARIN
OrgAbuseName
Mcevilly, Patrick
OrgAbusePhone
+1-617-495-9205
OrgAbuseEmail
patrick_mcevilly@harvard.edu
OrgAbuseRef
https://rdap.arin.net/registry/entity/PMC277-ARIN
OrgTechHandle
DASHB-ARIN
- Country: United States
- Network: AS40127 longwood medical and academic area (lma)
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
- Passive DNS Results: repo.open.med.harvard.edu open.catalyst.harvard.edu open.med.harvard.edu
CVEs Detected
CVE-2007-4723 CVE-2009-0796 CVE-2009-2299 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2024-40725 CVE-2024-40898
Disclaimer
This page contains threat intelligence information for the IPv4 address 134.174.149.59 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.