38.76.163.104 Threat Intelligence and Host Information
Jun 04, 2026
ipinfopage
General
IP Address
38.76.163.104
Location
🇺🇸 United States
Network
AS174
Threat Score
45/100
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
111
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS174
Organization
COGENT-174
Network
AS174 COGENT-174
WHOIS Information
NetRange
38.0.0.0 - 38.255.255.255
CIDR
38.0.0.0/8
NetName
COGENT-A
NetHandle
NET-38-0-0-0-1
Parent
()
NetType
Direct Allocation
OriginAS
Organization
Cogent Communications, LLC (COGC)
RegDate
2000-05-30
Updated
2025-09-23
Ref
https://rdap.arin.net/registry/entity/COGC
OrgName
Cogent Communications, LLC
OrgId
COGC
Address
2450 N Street NW
City
Washington
StateProv
DC
PostalCode
20037
Country
US
Comment
Geofeed https://geofeed.cogentco.com/geofeed.csv
OrgAbuseHandle
COGEN-ARIN
OrgAbuseName
Cogent Abuse
OrgAbusePhone
+1-877-875-4311
OrgAbuseEmail
abuse@cogentco.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/COGEN-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-06-02 | Toronto, Canada | SSH | View Log |
- Country: United States
- Network:
- Noticed: 11 times
- Protocols Attacked: ssh
- Countries Attacked: Australia, Finland, France, Germany, Poland, United States of America
- Passive DNS Results: bigmilk.fun api.bigmilk.fun
CVEs Detected
CVE-2007-2768 CVE-2008-3844 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-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728 CVE-2026-35385 CVE-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414
Disclaimer
This page contains threat intelligence information for the IPv4 address 38.76.163.104 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.