This is the average age of the IPs in the list. The ideal age chart of a well maintained IP list should a straight line from the bottom left corner, to the upper right corner of the chart. Of course, this is affected by the pressure of different attacks and possibly the different listing policies for different types of attacks. Long horizontal lines indicate either sustaining attacks, or unreasonably high listing policies. The retention policy of the list shows the duration IPs were listed, when they were listed.
This is calculated every time the list maintainers remove an IP from the list. The chart below shows the retention policy detected, since we started monitoring the list it is not limited to a certain timeframe. Using the chart below we attempt to answer these questions: When are IPs being removed from the list?
This chart shows data for the past IPs, currently unlisted. The vertical parts of the "stair steps" in this chart, indicate periods of intensive IPs cleanup. This is their retention policy. If the chart contains more than one "stair steps", the list has many different retention policies. Using the chart below we attempt to answer these questions: Is the list a derivative of other lists? A high percentage in this column, indicates that the IP list of that row is included in. A high percentage in this column, indicates that is included in the IP list of that row.
These two percentages show the percentage of overlap this list has with other IP lists. Using the comparison table, we can easily find out that, for example, abuse is often initiated from anonymizing IPs like open proxies and malwares.
This site aggregates , analyzes , compares and documents publicly available IP Feeds, with a focus on attacks and abuse. It is automatically generated and maintained using open source software check the wiki , that can be installed and run on your systems too, to download all IP lists directly from their maintainers, process them and re-generate the site and its data.
Special care has been given to make this analysis as scientific and objective as possible, respecting the hard work of the security teams, security companies and security professionals who offer these IP lists to the rest of us. Of course, security is achieved with a lot more than IP lists. And not all IP lists included here should be used for blocking traffic at a firewall or border router. Many of them, should be used, for example, to influence the way applications handle clients, or help in the development of further threat analysis.
Unfortunatelly, the InfoSec industry still considers as a standard industry practice the trade of Threat Intelligence for money. Threat Intelligence requires knowledge , skills and sophisticated tools to be effective.
Instead of selling these skills and tools, security firms selling threat intel state clearly they have valid information that identifies criminals.
But they want money to reveal it. This is contradictory to what we consider acceptable, if it was about criminal activity other than cyber. So, I have concluded that either the InfoSec industry has a severe cultural fault , or they have nothing. The super duper feeds they advertise are just a marketing tool to attract customers. They sell an illusion Of course it is! Then, you will also accept it if someone opens an online shop to sell information about a gang that breaks houses in your neighbor, as long as it cost them enough to acquire this information.
To my understanding Threat Intelligence cannot be effective when it is treated as Intellectual Property. Hopefully, many security companies and professionals agree and openly distribute the result of their hard work. Please wait while ipset data are being loaded Have you seen netdata?
To get access for downloading, you need to register an account , select the required access level on the payment pages and pay for the package.
The data is updated once an hour. Blacklisted IPs, emails, domains are being put into the database automatically based on spam activity of anyone who posts something on the Internet. Database records are being created in real-time. The service gets data of activity from more than , websites in real-time.
Each email address is checked for existence. That makes possible to blacklist fake emails within a few hours after we get the first spam check request. Information about blacklisted records is very accurate as data of spam activity were received from different websites simultaneously.
Hosting companies monitor their clients' website activity for the purpose of preventing of spam mailing, but not all hostings keep an eye on spam that goes towards other websites in form of spam comments, spam posts and spam contact form data.
If other websites are being spammed there are two reasons why this is happening:. It's rather difficult to discover this sort of behavior as you have to monitor all incoming POST and GET requests from the website or server and investigate them to understand whether it is a spam or the result of work of a web application. What's the easiest way to discover spam activity of a website or a server? Check IP addresses via Black Lists. Do not use both of them at the same time. In order to use the more perfomant Suricata ruleset avilable for download below, you must run Suricata 4.
The ruleset will not work with any Suricata version prior 4. If you are running a version of Suricata older than 4. SSLBL hence publishes a blacklist containing these IPs which can be used to detect botnet C2 traffic from infected machines towards the internet, leaving your network. As IP addresses are getting recycled and reused, this blacklist only contains IP addresses that have been see to be associated with malicious SSL certificate in past 30 days.
The false positive rate for this blacklist should therefore be low. In addition, there is an IPs only list available for download below. Download IPs only. I strongly recommend you to not use the aggressive version of the Botnet C2 IP blacklist as it definitely will cause false positives. If you want to reduce the amount of false positives, use the blacklist above this box.
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