199.195.249.135 Threat Intelligence and Host Information
Oct 31, 2024
ipinfopage
General
IP Address
199.195.249.135
Location
🇺🇸 Staten Island, United States
Network
AS53667
Threat Score
32/100
Attack Intelligence
Open Ports Detected
135
Geographic Location
Country
United States
City
Staten Island
Region
New York
Coordinates
40.6063, -74.1774
Network Information
ASN
AS53667
Organization
PONYNET
Network
AS53667 PONYNET
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2024-10-09 | Vultrparis-Sip | MULTIPLE | View Log |
- Country: United States
- Network: AS53667 frantech solutions
- Noticed: 6 times
- Protocols Attacked: sip
- Countries Attacked: Poland, Sweden
- Passive DNS Results: www.mercarisd.icu www.mercair.top www.mercair.icu www.merceari.icu planforhomedesign.com bahamascorporation.com www.bahamascorporation.com forza-utreg.nl 2zaozhuang.com www.zambora.de ff-dettingen.de www.ff-dettingen.de ZAMBORA.DE deutsches-strumpfmuseum.de hungercharter.org www.mfi-corp.com touchdownblue.com duxlive.co.nz circuitz4u.com mfi-corp.com freewayrock.com.ar hatnboots.org parentvoicesny.org reces.net nikeskor.cc eathamsandwich.com
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-2015-5352 CVE-2015-5600 CVE-2015-6563 CVE-2015-6564 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-2017-15906 CVE-2018-15473 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-15778 CVE-2021-36368 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767
Disclaimer
This page contains threat intelligence information for the IPv4 address 199.195.249.135 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.