162.241.239.106 Threat Intelligence and Host Information

General

IP Address
162.241.239.106
IPv4 Address
Location
🇺🇸 United States
US
Network
AS46606
UNIFIEDLAYER-AS-1
Threat Score
45/100
Medium Risk
BruteforceBrute-ForceclientsetupexploitsakurahttpSSHtpot
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS46606
Organization
UNIFIEDLAYER-AS-1
Network
AS46606 UNIFIEDLAYER-AS-1
WHOIS Information
NetRange
162.240.0.0 - 162.241.255.255
CIDR
162.240.0.0/15
NetName
UNIFIEDLAYER-NETWORK-16
NetHandle
NET-162-240-0-0-1
Parent
NET162 (NET-162-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
Unified Layer (BLUEH-2)
RegDate
2006-08-08
Updated
2025-07-24
Comment
OCITOKEN::162.241.188.0/23:4382cdcc6395523d809a4dc8f57a86239b686d5b54c38d359ebdfcdca915f3c1
Ref
https://rdap.arin.net/registry/entity/BLUEH-2
OrgName
Unified Layer
OrgId
BLUEH-2
Address
1958 South 950 East
City
Provo
StateProv
UT
PostalCode
84606
Country
US
OrgAbuseHandle
EIGAB1-ARIN
OrgAbuseName
EIG-Abuse Mitigation
OrgAbusePhone
+1-877-659-6181
OrgAbuseEmail
IARPOC@Newfold.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/EIGAB1-ARIN
Attack Logs
Date Target Location Protocol Link
2026-05-31 Toronto, Canada SSH View Log

  • Country: United States
  • Network:
  • Noticed: 9 times
  • Protocols Attacked: ssh

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2010-4478 CVE-2010-4755 CVE-2010-5107 CVE-2011-4327 CVE-2011-5000 CVE-2012-0814 CVE-2014-1692 CVE-2014-2532 CVE-2014-2653 CVE-2015-3152 CVE-2015-5352 CVE-2015-5600 CVE-2015-6563 CVE-2015-6564 CVE-2016-0652 CVE-2016-0653 CVE-2016-0654 CVE-2016-0656 CVE-2016-0657 CVE-2016-0658 CVE-2016-0659 CVE-2016-0662 CVE-2016-0663 CVE-2016-0667 CVE-2016-0777 CVE-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-1908 CVE-2016-20012 CVE-2016-3115 CVE-2016-3424 CVE-2016-3440 CVE-2016-3518 CVE-2016-3588 CVE-2016-5436 CVE-2016-5437 CVE-2016-5441 CVE-2016-5442 CVE-2016-5443 CVE-2016-5628 CVE-2016-5631 CVE-2016-5632 CVE-2016-5633 CVE-2016-5634 CVE-2016-5635 CVE-2016-8286 CVE-2016-8287 CVE-2016-8289 CVE-2016-8290 CVE-2017-10165 CVE-2017-10167 CVE-2017-10284 CVE-2017-10296 CVE-2017-10311 CVE-2017-10313 CVE-2017-15906 CVE-2017-3251 CVE-2017-3256 CVE-2017-3319 CVE-2017-3320 CVE-2017-3454 CVE-2017-3455 CVE-2017-3457 CVE-2017-3458 CVE-2017-3459 CVE-2017-3460 CVE-2017-3465 CVE-2017-3467 CVE-2017-3468 CVE-2017-3529 CVE-2017-3637 CVE-2017-3638 CVE-2017-3639 CVE-2017-3640 CVE-2017-3642 CVE-2017-3643 CVE-2017-3644 CVE-2017-3645 CVE-2017-3646 CVE-2017-3650 CVE-2018-15473 CVE-2018-20685 CVE-2018-3061 CVE-2018-3071 CVE-2019-2731 CVE-2019-2741 CVE-2019-2755 CVE-2019-2757 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2019-7317 CVE-2020-12783 CVE-2020-14760 CVE-2020-14814 CVE-2020-14830 CVE-2020-14837 CVE-2020-14839 CVE-2020-14845 CVE-2020-14846 CVE-2020-14852 CVE-2020-15358 CVE-2020-15778 CVE-2020-1971 CVE-2020-28007 CVE-2020-28008 CVE-2020-28009 CVE-2020-28010 CVE-2020-28011 CVE-2020-28012 CVE-2020-28013 CVE-2020-28014 CVE-2020-28015 CVE-2020-28016 CVE-2020-28017 CVE-2020-28018 CVE-2020-28019 CVE-2020-28021 CVE-2020-28022 CVE-2020-28023 CVE-2020-28024 CVE-2020-28025 CVE-2020-28026 CVE-2020-8015 CVE-2021-22570 CVE-2021-2356 CVE-2021-27216 CVE-2021-36368 CVE-2021-38371 CVE-2022-21417 CVE-2022-21444 CVE-2022-3559 CVE-2022-37451 CVE-2022-37452 CVE-2023-21977 CVE-2023-21980 CVE-2023-22007 CVE-2023-22015 CVE-2023-22026 CVE-2023-22028 CVE-2023-38408 CVE-2023-42114 CVE-2023-42115 CVE-2023-42116 CVE-2023-42117 CVE-2023-42119 CVE-2023-48795 CVE-2023-51385 CVE-2023-51766 CVE-2023-51767 CVE-2024-39929 CVE-2025-67896 CVE-2026-35385 CVE-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414 CVE-2026-40684 CVE-2026-40685 CVE-2026-40686 CVE-2026-40687

Disclaimer
This page contains threat intelligence information for the IPv4 address 162.241.239.106 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.