156.239.62.47 Threat Intelligence and Host Information
Aug 03, 2024
ipinfopage
General
IP Address
156.239.62.47
Location
🇺🇸 San Francisco, United States
Network
AS64267
Threat Score
20/100
Attack Intelligence
Open Ports Detected
4444
Geographic Location
Country
United States
City
San Francisco
Region
California
Coordinates
37.7809, -122.4245
Network Information
ASN
AS64267
Organization
AS-SPRIO
Network
AS64267 AS-SPRIO
WHOIS Information
NetRange
156.239.0.0 - 156.239.255.255
CIDR
156.239.0.0/16
NetName
AFRINIC-ERX-156-239-0-0
NetHandle
NET-156-239-0-0-1
Parent
NET156 (NET-156-0-0-0-0)
NetType
Transferred to AfriNIC
OriginAS
Organization
African Network Information Center (AFRINIC)
RegDate
2004-05-17
Updated
2015-05-04
Comment
The African & Indian Ocean Internet Registry
Ref
https://rdap.arin.net/registry/entity/AFRINIC
OrgName
African Network Information Center
OrgId
AFRINIC
Address
Lot 19, Cybercity
City
Ebene
StateProv
PostalCode
Country
MU
OrgAbuseHandle
GENER11-ARIN
OrgAbuseName
Generic POC
OrgAbusePhone
+230 4666616
OrgAbuseEmail
abusepoc@afrinic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/GENER11-ARIN
- Country: United States
- Network: AS64267 sprious llc
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
Malware Detected on Host
Count: 3 86808eec338019dd5bd97e2b49b0f768ba7026c5d912e9560ef6a155018cf983 6abe00aa961fb4a5a2f3f057429829c1586d0cbec5804ad91dc5805bc59c61cd 7c35c6e2b5594cbf91471428c5942e4962e2f73058175f2fc0d4a906a3191be9
CVEs Detected
CVE-2021-28116 CVE-2021-28651 CVE-2021-28652 CVE-2021-28662 CVE-2021-31806 CVE-2021-31807 CVE-2021-31808 CVE-2021-33620 CVE-2021-46784 CVE-2022-41317 CVE-2022-41318 CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-5824
Disclaimer
This page contains threat intelligence information for the IPv4 address 156.239.62.47 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.