152.2.60.135 Threat Intelligence and Host Information
May 19, 2025
ipinfopage
General
IP Address
152.2.60.135
Location
🇺🇸 Durham, United States
Network
AS36850
Threat Score
15/100
Attack Intelligence
Open Ports Detected
443
Geographic Location
Country
United States
City
Durham
Region
North Carolina
Coordinates
36.0229, -78.9464
Network Information
ASN
AS36850
Organization
UNC-CH
Network
AS36850 UNC-CH
WHOIS Information
NetRange
152.2.0.0 - 152.2.255.255
CIDR
152.2.0.0/16
NetName
UNCCH-NET
NetHandle
NET-152-2-0-0-1
Parent
NET152 (NET-152-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
University of North Carolina at Chapel Hill (UNC-1-Z)
RegDate
2010-01-06
Updated
2019-01-10
Ref
https://rdap.arin.net/registry/entity/UNC-1-Z
OrgName
University of North Carolina at Chapel Hill
OrgId
UNC-1-Z
Address
440 W. Franklin Street
City
Chapel Hill
StateProv
NC
PostalCode
27599-1150
Country
US
OrgAbuseHandle
ISG10-ARIN
OrgAbuseName
IT Security Group
OrgAbusePhone
+1-919-445-9393
OrgAbuseEmail
security@unc.edu
OrgAbuseRef
https://rdap.arin.net/registry/entity/ISG10-ARIN
OrgTechHandle
SHUED1-ARIN
- Country: United States
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
- Passive DNS Results: dev.spots.unc.edu eis-spots-dev4.facilities.unc.edu
CVEs Detected
CVE-2007-4723 CVE-2009-0796 CVE-2009-1390 CVE-2009-2299 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 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-2019-0190 CVE-2023-0464 CVE-2023-0465 CVE-2023-0466 CVE-2023-1255 CVE-2023-2650 CVE-2023-2975 CVE-2023-31122 CVE-2023-3817 CVE-2023-43622 CVE-2023-45802 CVE-2023-4807 CVE-2023-5363 CVE-2023-5678 CVE-2023-6129 CVE-2024-0727 CVE-2024-27316 CVE-2024-38474 CVE-2024-38475 CVE-2024-38476 CVE-2024-38477 CVE-2024-40898
Disclaimer
This page contains threat intelligence information for the IPv4 address 152.2.60.135 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.