Elasticsearch Security guide

Since Elasticsearch was first released by Shay Bannon in 2010, it has gone on to become one of the most widely used search and analytics engines on the market that many enterprises use to navigate databases and documents. However, with unsecured databases attacked 18 times a day by hackers, protecting Elasticsearch is vital for preventing data breaches.

In this Elasticsearch security guide, we’re going to look at some best practices for keeping the engine secure, and some monitoring tools you can use to monitor the service.

How do Hackers Break into Elasticsearch? 


Elasticsearch acts as a repository of documents throughout your network, and while this helps you to find data more efficiently, it’s a prime target for cybercriminals. Many hackers know that enterprises regularly fail to configure the service properly. This creates a vulnerability where unauthorized users can access the information contained within instances.

One example took place earlier this year when a hacker used an automated script to scan the web for unprotected ElasticSearch systems that didn’t have a password, broke into them, and wiped the data. The mysterious hack is one of many data breaches that exploit Elasticsearch’s misconfigurations.

Unfortunately, these hacks are easy to carry out, with attackers able to use search engines like Shodan, BinaryEdge, Censys, and ZoomEye to crawl the web for vulnerable IP addresses and ports. The only way to prevent these breach attempts is by deploying the proper configurations.

Elasticsearch Best Practices 

There are many different actions you can take to secure elastic search, all the way from closing open ports to user authentication and access control. In this section, we’re going to look at some of the ways you can minimize security risks when using Elasticsearch:

1. Don’t connect to the internet 

One of the simplest ways to secure Elasticsearch is to make sure that it isn’t connected to the Internet. Exposing Elasticsearch puts your data within reach of malicious entities and DoS attacks. Elasticsearch’s default settings tie nodes to the localhost, but you can also use the network/host in Elasticsearch’s YAML configuration file to bind nodes to a private or secure public IP.

2. Close Open Ports 

Open ports represent a security risk that attackers can use to gain access to your network. Closing open ports eliminate key vulnerabilities that cybercriminals can exploit. Elasticsearch uses port 9200 for requests and 9300 for cluster communication between nodes. When these ports are open, unauthenticated users can call Elasticsearch’s API to conduct actions such as copying, deleting, or encrypting, data.

Block ports 9200 and 9300 for all nodes so that the service can’t be accessed from the public internet. Closing the ports will ensure that hackers aren’t able to freely collect your information.

3. Restrict HTTP-enabled nodes to private IPs and disable HTTP 

Restricting what IPs elastic search will listen to is essential for ensuring that public IPs can’t access it. You can restrict the nodes by setting the network.bind_host or network.host to a private IP. Outside of your HTTP-enabled client nodes, disable HTTP by setting http/enabled to false.

4. Encrypt Your data 

Encrypting your data at rest is a must for stopping it from being collected by cybercriminals. However, Elasticsearch doesn’t have encryption available by default so you need to use an external tool. Dm-crypt is a great utility you can use in the Linux kernel to encrypt your data and keep it secure. Using TLS encryption to encrypt all cluster traffic is a must for ensuring complete protection.

5. User Authentication 

Setting up user authentication enables you to control who has access to Elasticsearch, helping you prevent malicious entities from getting access to sensitive data. Elasticsearch’s user authentication options mean that users must verify their identity via a password, credential, or authentication token. You can set up user authentication natively or through a third-party solution like LDAP or Active Directory.

6. Implement Access Controls 

Role-based access controls are another essential tool for controlling access to your data. Creating access controls will enable you to determine who can access resources like documents and indices, limiting the number of people in your organization who have access to protected data.

7. Use Audit Logs 

Monitoring audit logs is an effective way to identify malicious activities. With audit logs, you can track the actions of users connected to an Elasticsearch cluster. Logging user activity will help you to identify suspicious or malicious activity so that you can respond promptly to fix the problem, reducing the meantime to the resolution of security events when they occur.

8. Regularly update Elasticsearch

Whenever a new version of Elasticsearch comes out, it’s important to upgrade to patch old vulnerabilities. Leaving any software unpatched provides hackers with unaddressed vulnerabilities they can exploit. Regular updates will ensure your defenses are always up-to-date and will decrease the chance of a data breach.

9. Disable Scripting 

If you’re using a version of Elasticsearch before 5.x then its vital to disable dynamic scripting. Disabling dynamic scripting prevents hackers from deploying malicious scripts through the search API, which can destroy, copy, or encrypt your data against your will, and put you out of action.

 10. Monitor Elasticsearch 

Continuously monitoring Elasticsearch is invaluable for helping you to detect poor performance and anomalous behavior. Many cloud monitoring tools provide alerts that notify you when a security event takes place. That way you can begin troubleshooting to fix the problem whether it’s a small issue or a full-blown cyber attack.

Top Tools for Monitoring Elasticsearch 

Continuously monitoring ElasticSearch gives you the ability to detect the signs of a security breach or poor performance. While Elasticsearch’s APIs can be used to measure performance, it’s much more convenient to use an external application or cloud monitoring tool, because you can monitor all of your infrastructures in one place.

In this section, we’re going to look at some of the top tools for monitoring ElasticSearch. The tools listed include solutions with high-quality dashboards with rich visualization options and configurable alerts to notify you about the problematic activity.

Here are the top three tools for monitoring ElasticSearch:

  1. Datadog – Cloud monitoring software with a custom dashboard, graphs, charts, alerts, snapshots, full API access, and more.
  2. ElasticHQ – Open-source Elasticsearch monitoring software with cluster health monitoring, analytics, recommendations, and more.
  3. Dynatrace – Application performance monitoring software with autodiscovery, anomaly detection, custom alerts, and more.

1. Datadog

Datadog screenshot

Datadog is a cloud monitoring solution that you can use to monitor the status of Elasticsearch clusters. With Datadog you can collect Elasticsearch performance metrics like CPU, memory, and I/O utilization, and view them through a customizable dashboard with visualization options like graphs and charts.

Key Features:

  • Customizable dashboard
  • Graphs and charts
  • Alerts
  • Snapshots
  • Full API Access

An alerts system provides you with alerts on any metric within your cluster. For example, if CPU or memory usage crosses a predefined threshold then the platform will send you an alert by email, PagerDuty, or Slack message. Users can create complex alert conditions to determine when the system generates notifications.

The platform also offers snapshots, where you can send an image of a performance issue or graph to another member of your team to verify if there’s a problem or not. When managing alerts, you can also see who has responded to an alert in the past, making it easier to know what actions were taken to fix the issue.


  • Features templates for monitoring Elasticsearch clusters
  • Great choice for small, medium, and enterprise size networks
  • Vast amount of integrations, great for large networks utilizing numerous third-party applications
  • Templates work extremely well out of the box, customization is possible but not always necessary


  • Could benefit from having a longer 30-day trial period

Datadog is worth considering if you’re looking for a solution to monitor Elasticsearch’s performance alongside other applications and services. Prices for the Infrastructure package start at $15 (£11.62) per host per month. The agent is available on Windows, macOS, and Linux. You can start the 14-day free trial.

2. ElasticHQ


ElasticHQ is an open-source Elasticsearch monitoring tool that you can use to monitor cluster health in real-time. With ElasticHQ, you can monitor all of your clusters from a single location alongside analytics that you can use to drill-down to the index or node level so you can spot performance trends.

Key Features:

  • Real-time cluster health monitoring
  • Analytics
  • Diagnostics recommendations
  • JSON editor
  • Indices management

Based on performance metrics collected throughout your environment, ElasticHQ provides recommendations and hints on how you can optimize performance. There is also a JSON editor that you can use to query indices and aliases. You can interact with aliases in a number of ways including refreshing, optimizing, creating, and viewing them.

One of the biggest advantages of ElasticHQ is the vast user community that uses the software. You also have an API that gives you greater control over your experience with the program.


  • Simple interface that is easily customizable
  • Features metrics and monitors specifically for Elasticsearch
  • Back-end API make a wide range of integrations possible


  • Open source tools often rely on community bug fixes and support – not the best option for enterprises looking to move quickly

ElasticHQ is a great choice for enterprises looking for an open-source solution for monitoring the performance and availability of Elasticsearch clusters. Supports all versions of Elasticsearch, including 2.x, 5.x, and 6.x. You can download the software for free.

3. Dynatrace


Dynatrace is an application performance monitoring tool with Elasticsearch monitoring capabilities. Dynatraceautomatically discovers individual clusters and collects metrics on Status, Active shards, Active primary shards, Replica shards, Relocating shards, Initializing shards, Unassigned shards, and more. You can also view node metrics such as Indexing total, Indexing time, Number of queries, Number of fetches, Number of scrolls, Total search time, Breakers, and Indices.

Key Features:

  • Automatically discover individual clusters
  • Anomaly detection
  • Root cause analysis
  • Custom alerts

AI-driven Anomaly detection and automatic root cause analysis help detect performance issues when they occur and sends you notifications to highlight the problem. The notification provides you with information on the root cause so that you don’t need to waste time finding out how the problem started

There are also customizable alerts, that you can use to set thresholds for metrics that the system will notify you about when they are crossed. A run-down of all alerts can be viewed in the Problems feed, which provides a record of all the latest security events that you need to know about.


  • Can automatically identify Elastic cluters and group them for monitoring
  • Highly visual and customizable dashboards, excellent for enterprise NOCs
  • Operates in the cloud, allowing it to be platform-independent


  • Designed specifically for large networks, smaller organizations may find the product overwhelming for their needs

Dynatrace is one of the top tools for monitoring Elasticsearch and other applications in one place. To view pricing information, you need to request a quote from the company directly. Available for Windows, Linux, iOS, and Android. You can start the 15-day free trial.

Contingency Plan: Backup your Data! 

Unfortunately, even if you implement all of the measures above, a skilled hacker can still find a way to access your data. As a consequence, it’s important to regularly back up your data so that you will still have access to business-critical information if you fall victim to a cyber attack.

To back up your data, you can take snapshots of running Elasticsearch clusters. Taking a snapshot of a cluster will record all of its data streams and indices, though you can choose to limit snapshots to particular data streams. After taking a snapshot you can store the backup in a local or remote repository.

You can then store your collected data in a cloud service like Amazon S3, Microsoft Azure, or Google Cloud Storage so that you have a copy to restore from if the system becomes compromised.

Elasticsearch: Take Care Conclusion

Elasticsearch is an extremely valuable search and analytics engine that enterprises need to manage carefully.

Applying the best practices listed above and implementing continuous monitoring with performance monitoring tools like Datadog, ElasticHQ, and Dynatrace will make sure you can access your data freely without leaving the door open to opportunistic cybercriminals.