elasticsearch port scan detection
You can create visualizations of your nmap data in Kibana and eventually create dashboards from these visualizations. This is just an example of how to leverage the Elastic stack for performing security monitoring, creativity is the only limit. Send a nice email to warn us! Make sure to use screen and start Kibana in its own window. This article assumes that you know how to use nmap. We'll use logstash to mangle the data and extract the information relevant to this use case, namely timestamp, src_ip and dst_port. As we have extracted the information we were after (timestamp,src_ip,dst_ip) we can decide to trash message and payload fields: Next we send these events to Elasticsearch index logstash-tcpdump-%{+YYYY.MM.dd}. 5 comments Open Port Scan Detection #1615. will be indexed observing a common structured format: "src_user": "ciro""src_ip": "10.0.0.111""auth_type": "ssh2", “src_user”:”gennaro”“src_ip”:”10.0.0.118”“auth_type”:”3”. When trying to detect whether a portscan against a given host on your premises was carried on , network traffic data becomes relevant.
This tutorial shows you how to index NMAP Port Scan results into Elasticsearch. Navigate to your logstash directory. For example, if your computer’s IP address is 192.168.1.150 and your elasticsearch node is at 192.168.1.2, you could open port 9200 on your local computer by running:
While we impatiently wait for Packetbeat Flows to be released and allow more out-of-the-box network protocol level capture capabilities, we'll use tcpdump capture using the below command for the purpose of this blog: the above command will listen on the eth0 network interface of the monitored host and capture all and only the TCP packets indicating that a new TCP connection handshake was initiated, also avoiding resolving IP to hostnames for faster execution; then we pipe the results to netcat to send them to our Logstash instance for event processing, which we assume here to be running locally. If you’re unaware, I warn you that using nmap to port scan IP addresses of infrastructure that you don’t own is most likely illegal in your country. Using a field naming convention allows to build correlation logic abstracting from which source the event originated from, be it a Windows or a Linux failed login. This script makes use of the Python API for Elasticsearch. You might need to install ruby-nmap to install this plugin. Network Mapper is a free and open source (license) utility for network discovery and security auditing. Critical skill-building and certification.
Last, what action should our Watch perform once its conditions are met? How would this translate to an elasticsearch query? Discover how easy it is to manage and scale your Elasticsearch environment. Effectively monitoring security across a large organization is a non-trivial task faced everyday by all sorts of organizations.The speed, scalability and flexibility of the Elastic stack can play as a great asset when trying to get visibility and proactively monitoring large amounts of data. We are going to assume you have more than one report that you would like to parse. To be able to use my config, you will need to download a template from the github page which is referenced in the config file. Note we're purely interested in aggregated results, hence setting size:0. https://www.elastic.co/blog/elasticsearch-and-siem-implementing-host-portscan-detection © 2020. Just for the sake of our examples, create a directory to store your reports and config, and work from there. Next we'll see how we can use Watcher to automatically receive an email when an event like this happens. This outputs the results to report.xml in the current directory. For example a failed login, be it from a Linux. Make sure you have the latest version of logstash, especially if you are having trouble installing the logstash-codec-nmap plugin.
On my server, the directory is located at /opt/logstash. The response we receive looks like: From the above we can infer that host 192.168.1.17 has initiated 41 different TCP connections against host 192.168.1.105 which seems suspicious: 192.168.1.17 is our attacker. Specifically terms and cardinality aggregations. We're now at the stage where events are coming into Elasticsearch and we want to be automatically alerted when our monitored host will receive (or launch!) To be safe, scan only your own infrastructure, or get permission to do so. a portscan. The traditional SIEM approach relies on normalization of the data from raw, based on a schema. To ingest your nmap scans, you will have to output it in a format that can ingest into Elasticsearch. Add your logstash config to the directory. We are going to scan scanme.nmap.org, which is a host that is often used to test nmap with. What’s new in Elastic Enterprise Search 7.9.0, What's new in Elastic Observability 7.9.0. PORT STATE SERVICE 80/tcp open http 8080/tcp open http-proxy |_elasticsearch: looks like elasticsearch The above groovy script will scan our aggregated results and look for a unique_port_count bucket where the cardinality is greater than 50; so putting within context, if a host has established within 30 seconds timerange, more than 50 connection each using a different port …
Depending on how you have elasticsearch configured, you may need to build an SSH tunnel to allow your computer to communicate with your elasticsearch node. If you are interested in networking or information security then you are likely familiar with the port scanning tool nmap. Now back to the nmap directory.
Port Scan Detection using ElasticSearch and Kibana.
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