TCP Dangerous Database

Port 9300 (Elasticsearch Cluster)

Learn about port 9300 (Elasticsearch Cluster) - security risks, vulnerabilities, and common uses. Find devices with port 9300 open.

Quick Info

Port Number
9300
Protocol
TCP
Service
Elasticsearch Cluster
IANA Name
Elasticsearch Cluster

Service Description

TCP port 9300 is predominantly used by Elasticsearch for inter-node communication within a cluster. Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. At its core, Elasticsearch allows you to store, search, and analyze big volumes of data quickly and in near real time. While port 9200 is used for client communication via HTTP, port 9300 is critical for internal cluster operations, including node discovery, data replication, shard allocation, and cluster state management. The protocol used on port 9300 is a proprietary binary protocol optimized for low-latency, high-throughput communication between Elasticsearch nodes. This protocol handles serialized Java objects, allowing efficient exchange of complex data structures representing cluster state, search requests, and indexing operations.

The Elasticsearch cluster uses a gossip protocol over port 9300 for node discovery and cluster formation. When a new node joins the cluster, it attempts to connect to existing nodes through this port. Once connected, nodes exchange cluster state information, including the list of available nodes, shard assignments, and indexing configurations. This information is continuously updated to maintain a consistent view of the cluster across all nodes. The binary protocol also handles data replication, ensuring data is copied across multiple nodes for redundancy and fault tolerance. Shard allocation decisions, which determine where data shards are stored within the cluster, are also communicated through port 9300. The protocol is designed for high performance within a trusted network environment.

## Firewall Recommendations

Port 9300 should be strictly limited to communication between Elasticsearch nodes within a trusted network. It should **never** be exposed directly to the public internet. Implement a firewall rule to block all incoming connections to port 9300 from external sources. Within the trusted network, use network segmentation to isolate the Elasticsearch cluster from other services. Consider using a VPN or other secure tunneling mechanism to protect communication between Elasticsearch nodes if they are located in different physical locations. Enable authentication and authorization features in Elasticsearch to prevent unauthorized access. Regularly update Elasticsearch to the latest version to patch security vulnerabilities. Monitor network traffic for suspicious activity and implement intrusion detection systems to detect and prevent attacks targeting port 9300. Modern versions of Elasticsearch support TLS/SSL encryption for inter-node communication, which should be enabled for enhanced security.

Security Information

Because port 9300 is designed for internal cluster communication, exposing it to untrusted networks or the public internet can create significant security risks. The proprietary binary protocol, while optimized for performance, can be vulnerable to exploitation if not properly secured. Attackers can potentially gain access to sensitive data stored within the Elasticsearch cluster, manipulate cluster state, or even execute arbitrary code on the nodes. Common attack vectors include exploiting unauthenticated access, using man-in-the-middle attacks to intercept and modify communication between nodes, and exploiting vulnerabilities in the Elasticsearch software itself. The lack of built-in authentication and encryption by default in older versions of Elasticsearch makes it particularly vulnerable to unauthorized access if port 9300 is exposed.

Known Vulnerabilities

CVE Name Severity Description
CVE-2015-1427 Groovy sandbox escape in Elasticsearch Critical Elasticsearch versions before 1.4.3 and 1.3.8 allow remote attackers to bypass the sandbox protection mechanism and execute arbitrary code via a crafted script.
CVE-2015-3185 Directory traversal vulnerability in Elasticsearch High Elasticsearch before 1.5.2 allows remote attackers to read arbitrary files via a .. (dot dot) in a request.
CVE-2024-32096 Elasticsearch arbitrary code execution Critical Elasticsearch before 8.13.1 allows for arbitrary code execution via the use of the Painless scripting language when using the `script.engine.groovy.inline.search` setting.
CVE-2024-32099 Elasticsearch denial of service Medium Elasticsearch can be forced into a denial of service by submitting a specially crafted query that results in excessive memory allocation.

Common Software

  • Elasticsearch
  • Logstash (when configured as a node)
  • Beats (when configured as a node)
  • Graylog (when integrated with Elasticsearch)
  • Kibana (for monitoring)
  • APM Server (when integrated with Elasticsearch)

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