154.90.60.175 Threat Intelligence and Host Information
Aug 25, 2024
ipinfopage
General
IP Address
154.90.60.175
Location
🇺🇸 United States
Network
AS398823
Threat Score
61/100
Attack Intelligence
MITRE ATT&CK Techniques
T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.004 - Credential Stuffing, T1110 - Brute Force, T1498 - Network Denial of Service
Open Ports Detected
22
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS398823
Organization
PEGTECHINC-AP-02
Network
AS398823 PEGTECHINC-AP-02
WHOIS Information
inetnum
154.90.60.0 - 154.90.60.255
netname
Lightnode_Limited
descr
Lightnode Limited
country
BR
admin-c
CIS1-AFRINIC
tech-c
CIS1-AFRINIC
status
ASSIGNED PA
mnt-by
LARUS-SERVICE-MNT
parent
154.80.0.0 - 154.95.255.255
person
Cloud Innovation Support
address
Seychelles
phone
tel:+248-4-610-795
nic-hdl
CIS1-AFRINIC
abuse-mailbox
abuse@cloudinnovation.org
route
154.90.60.0/23
origin
AS138915
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2024-08-18 | London, UK | SSH | View Log |
- Country: United States
- Network: AS398823 peg tech inc
- Noticed: 3 times
- Protocols Attacked: ssh
- Passive DNS Results: jiyadianzi.com
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
Disclaimer
This page contains threat intelligence information for the IPv4 address 154.90.60.175 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.