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Detecting Sensitive Data Leakage Through Unencrypted Redis Client-Server Communication Using Network Traffic Analysis and Data Protection Monitoring

Description

Organizations use Redis as an in-memory data store for caching, session management, application state, queues, and temporary storage.

Redis client-server communication can contain sensitive information such as session data, authentication-related values, user information, application data, or confidential business information.

If communication between a Redis client and Redis server is performed without encryption, sensitive information transmitted across the network may be observable to an unauthorized party who can capture the traffic.

This creates a Data Security & Privacy risk because sensitive information can be exposed while it is being transmitted between application components.

In this project, a real Redis application is deployed locally on Ubuntu Linux inside an isolated VirtualBox laboratory. Synthetic sensitive data is stored in Redis.

The Redis client communicates with the Redis server over the laboratory network. A controlled security test is performed by capturing the network traffic using Wireshark and analyzing whether sensitive test information can be observed in the communication.

After demonstrating the security weakness, encrypted communication using TLS is configured. The same controlled traffic-capture test is then repeated to verify that sensitive information is no longer transmitted in readable form.

Wazuh is used for security monitoring, while OpenSearch is used for centralized investigation and event analysis.

The complete workflow is: Redis → Synthetic Sensitive Data → Unencrypted Communication → Network Traffic Capture → Sensitive Data Identification → Security Monitoring → Risk Assessment → TLS Configuration → Encrypted Communication → Retesting → Data Protection Validation

Existing Security Problem

Application: Redis

Redis is the real open-source application used in this project. It is deployed on Ubuntu Linux and configured as a local Redis server. The environment contains synthetic test information representing session data, user information, application state, test tokens, and internal application values.

The security problem occurs when sensitive information is transmitted between a Redis client and Redis server without adequate encryption. In such a situation, an unauthorized party capable of capturing the network traffic may potentially observe sensitive information transmitted between the application components.

Existing Problem:

The insecure communication occurs when sensitive test data is transmitted over an unencrypted Redis connection. Network traffic can be captured and analyzed, creating a risk that sensitive information may be observable in readable form.

The security problem is therefore:

Redis Client → Sensitive Test Data → Unencrypted Network Communication → Network Traffic → Packet Capture → Sensitive Information Potentially Readable → Data Leakage Risk

The proposed solution introduces TLS encryption, encryption in transit, secure Redis configuration, network monitoring, controlled packet analysis, centralized security monitoring, OpenSearch-based investigation, configuration validation, post-remediation testing, and continuous monitoring.

Attack

Specific Attack: Sensitive Data Leakage Through Unencrypted Redis Communication

The controlled scenario demonstrates the risk of transmitting sensitive information over an unencrypted Redis connection. This is performed only against the user's own isolated laboratory. Synthetic sensitive values are transmitted through Redis, the network traffic is captured using Wireshark, and the captured packets are analyzed to determine whether the test information is observable.

The assessment focuses on Redis client-server communication, synthetic sensitive information, encryption status, network traffic visibility, packet capture, sensitive-information observability, security monitoring, TLS configuration, encrypted communication, and post-remediation protection validation.

Attack Behavior:
Redis Server
→
Synthetic Sensitive Data
→
Redis Client
→
Unencrypted Communication
→
Wireshark Packet Capture
→
Traffic Analysis
→
Sensitive Information Identified
→
Security Finding
→
TLS Enabled
→
Traffic Captured Again
→
Sensitive Information No Longer Readable
→
Protection Validated

Security Concept

Encryption in Transit:

The primary security concept is Encryption in Transit.

Sensitive information should be protected while moving between application components. Redis client-server communication is secured using TLS so that sensitive information is encrypted during transmission and cannot be observed in readable form through captured network traffic.

The secure processing flow is:

Sensitive Data
→
Redis Client
→
TLS Protection
→
Encrypted Communication
→
Network
→
Redis Server

Defensive Mechanism

TLS Encryption

Redis client-server communication is protected using TLS.

Purpose

Prevent sensitive information from being transmitted in readable form.

Encryption in Transit

Sensitive information is encrypted while travelling between Redis components.

Purpose

Reduce the risk of network-based data leakage.

Secure Redis Configuration

Redis is configured to accept secure connections.

Purpose

Prevent insecure communication paths.

Network Monitoring

Network activity is monitored for abnormal or unexpected communication.

Purpose

Detect suspicious communication behavior.

Packet Analysis

Controlled packet captures are used to validate whether sensitive information is visible.

Purpose

Verify the effectiveness of encryption.

Security Monitoring

Wazuh monitors relevant host and security activity.

Purpose

Provide centralized security visibility.

Centralized Investigation

OpenSearch is used to investigate collected security events.

Purpose

Correlate and analyze security telemetry.

Configuration Validation

Redis configuration is reviewed before and after remediation.

Purpose

Confirm that the intended encryption settings are active.

Post-Remediation Testing

The same traffic-capture scenario is repeated after enabling TLS.

Purpose

Verify that the security weakness has been successfully eliminated.

Continuous Monitoring

Monitoring remains active after remediation.

Purpose

Detect future configuration changes or security issues.

Security Tools

Target Application: Redis

Redis is the real open-source application used in this project.

Purpose
  • Store synthetic sensitive data.
  • Provide client-server communication.
  • Demonstrate unencrypted data transmission.
  • Validate TLS-based protection.

Network Traffic Analysis Tool: Wireshark

Wireshark is the primary tool for validating the communication-security weakness.

Purpose
  • Capture network packets.
  • Analyze Redis communication.
  • Identify whether sensitive test information is observable.
  • Compare plaintext and TLS-protected traffic.

Security Monitoring Tool: Wazuh

Wazuh is used for host and security monitoring.

Purpose
  • Monitor relevant system activity.
  • Monitor configuration changes.
  • Generate security events.
  • Provide centralized security telemetry.

Investigation Platform: OpenSearch

OpenSearch is used for security-event investigation.

Purpose
  • Search Wazuh events.
  • Review timestamps.
  • Investigate configuration activity.
  • Correlate security events.

Security Testing Platform: Kali Linux

Kali Linux is used as the authorized security-testing system.

Purpose
  • Generate controlled Redis client traffic.
  • Capture laboratory network traffic.
  • Validate the communication-security configuration.
  • Perform post-remediation verification.

Automation and Validation Tool: Python

Python is used to generate synthetic test data and perform controlled Redis operations.

Purpose
  • Generate synthetic sensitive values.
  • Send controlled test data to Redis.
  • Validate application communication.
  • Compare pre- and post-remediation results.

Target Platform: Ubuntu Linux

Ubuntu hosts the Redis server.

Purpose
  • Run Redis.
  • Store Redis configuration.
  • Generate server activity.
  • Host monitoring components.

Virtualization Platform: VirtualBox

VirtualBox provides the isolated laboratory.

Purpose
  • Host Ubuntu.
  • Host Kali Linux.
  • Create an isolated network.
  • Prevent accidental exposure of test data.

Process

STEP 01

Prepare the Isolated Environment

  • Install VirtualBox.
  • Create an Ubuntu virtual machine.
  • Create a Kali Linux virtual machine.
  • Configure an isolated virtual network.
  • Assign laboratory IP addresses.
  • Verify communication between the VMs.
  • Ensure the environment is isolated from production systems.
Tools: VirtualBox + Ubuntu + Kali Linux
STEP 02

Install Redis

  • Install Redis on Ubuntu.
  • Start the Redis service.
  • Verify that Redis is running.
  • Configure a test Redis instance.
  • Verify that a Redis client can connect.
  • Record the initial configuration.
Tools: Redis
STEP 03

Create Synthetic Sensitive Data

  • Create fictional test values.
  • Ensure all values are synthetic.
  • Ensure they have no real-world authentication capability.
  • Store them only inside the isolated laboratory.
Tools: Python
STEP 04

Establish the Normal Communication Baseline

  • Start the Redis server.
  • Connect from the Kali test system.
  • Perform normal Redis operations.
  • Store synthetic test values.
  • Retrieve the test values.
  • Confirm that the client-server communication works correctly.
  • Record the baseline configuration.
Tools: Redis + Python
STEP 05

Establish the Unencrypted Communication Scenario

  • Configure the laboratory Redis connection without TLS.
  • Connect the test client.
  • Perform controlled Redis operations.
  • Insert synthetic sensitive values.
  • Retrieve the values.
  • Confirm that the communication is occurring over the laboratory network.
Tools: Redis + Python
STEP 06

Capture Redis Network Traffic

  • Use Wireshark on the isolated laboratory interface.
  • Start a packet capture.
  • Generate controlled Redis client-server traffic.
  • Perform the predefined test operations.
  • Stop the capture.
  • Save the packet capture.
  • Identify Redis-related traffic.
Tools: Wireshark + Kali Linux
STEP 07

Analyze the Captured Traffic

  • Open the controlled packet capture.
  • Identify Redis communication.
  • Inspect the relevant packets.
  • Determine whether synthetic test information is observable.
  • Record the findings.
  • Document the security weakness.
Tools: Wireshark
STEP 08

Assess the Data-Leakage Risk

  • Identify the sensitive values observed during the controlled test.
  • Identify the communication path.
  • Determine the type of information exposed.
  • Determine whether encryption is enabled.
  • Document the potential impact.
  • Assign a risk level.
Tools: Wireshark + Python
STEP 09

Configure Wazuh Monitoring

  • Install/configure Wazuh monitoring on the Ubuntu environment.
  • Monitor relevant Redis configuration and system activity.
  • Monitor configuration changes.
  • Generate controlled Redis activity.
  • Verify that Wazuh receives the relevant telemetry.
Tools: Wazuh
STEP 10

Record the Security Event

  • Make a controlled Redis configuration change.
  • Allow Wazuh to detect the change.
  • Record the event timestamp.
  • Identify the affected configuration.
  • Preserve the event for investigation.
Tools: Wazuh
STEP 11

Investigate Through OpenSearch

  • Open the relevant Wazuh event.
  • Review it in OpenSearch.
  • Search for Redis-related configuration activity.
  • Review timestamps.
  • Identify the affected system.
  • Establish the remediation timeline.
Tools: Wazuh + OpenSearch
STEP 12

Enable TLS Encryption

  • Configure Redis for TLS in the isolated environment.
  • Generate/use appropriate laboratory certificates.
  • Configure the Redis server for secure communication.
  • Configure the Redis client to use TLS.
  • Disable the insecure connection path where appropriate.
  • Restart/reload the required Redis configuration.
  • Verify the TLS connection.
Tools: Redis
STEP 13

Validate the TLS Connection

  • Connect to Redis using the TLS-enabled client.
  • Perform controlled Redis operations.
  • Store synthetic sensitive values.
  • Retrieve the values.
  • Verify that the application continues to function.
  • Confirm the connection is protected by TLS.
Tools: Redis + Python
STEP 14

Capture the Encrypted Traffic

  • Repeat the previous network-capture process.
  • Start Wireshark.
  • Generate the same Redis operations.
  • Capture the traffic.
  • Stop the capture.
  • Save the second packet capture.
  • Compare it with the original capture.
Tools: Wireshark + Kali Linux
STEP 15

Compare Before and After Encryption

  • Compare the two packet captures.
  • Compare the traffic.
  • Verify that sensitive values are no longer observable as plaintext.
  • Record the result.
  • Document the improvement.
Tools: Wireshark
STEP 16

Validate Wazuh Monitoring After Remediation

  • Generate controlled Redis configuration activity.
  • Verify Wazuh continues monitoring.
  • Review the resulting events.
  • Confirm monitoring remains operational.
  • Ensure the TLS configuration is retained.
Tools: Wazuh
STEP 17

Perform Post-Remediation Validation

  • Repeat the original controlled communication test.
  • Capture the network traffic.
  • Analyze the packets.
  • Verify that sensitive test information is no longer transmitted in readable form.
  • Confirm TLS is active.
  • Confirm the insecure connection path is disabled.
  • Record the final result.
Tools: Redis + Wireshark + Wazuh
STEP 18

Perform Final Data Security & Privacy Assessment

  • Compare the original and protected Redis configurations.
  • Review the first packet capture.
  • Review the TLS-protected packet capture.
  • Review Wazuh monitoring events.
  • Review OpenSearch investigation results.
  • Verify TLS configuration.
  • Verify sensitive data is protected in transit.
  • Identify remaining security gaps.
  • Recommend encryption for Redis communications.
  • Recommend secure certificate management.
  • Recommend disabling insecure communication paths.
  • Recommend continuous configuration monitoring.
  • Recommend periodic network-security validation.
  • Finalize the Data Security & Privacy assessment.
Tools: Redis + Wireshark + Wazuh + OpenSearch + Python

Outcome

  1. A real Redis application is successfully deployed on Ubuntu, providing a practical client-server environment for testing data protection.
  2. Synthetic sensitive information is created and transmitted through Redis, allowing the security scenario to be performed without using real credentials or personal information.
  3. An unencrypted Redis communication scenario is successfully reproduced in the isolated laboratory, demonstrating the risk associated with transmitting sensitive information without encryption.
  4. Wireshark captures and analyzes the controlled Redis traffic, providing direct evidence of whether sensitive test information is observable during transmission.
  5. The potential sensitive-data leakage risk is identified and documented, including the affected communication path and type of information involved.
  6. Wazuh provides security monitoring for relevant Redis and system activity, allowing configuration-related events to be detected and recorded.
  7. OpenSearch provides centralized investigation of the monitored events, enabling the security analyst to review timestamps, affected systems, and configuration activity.
  8. TLS encryption is successfully configured for Redis client-server communication, protecting sensitive information while it is transmitted across the network.
  9. Post-remediation traffic analysis confirms that the sensitive test information is no longer transmitted in readable form, validating the effectiveness of encryption-in-transit controls.
  10. The complete real Redis deployment, synthetic sensitive-data creation, unencrypted communication testing, Wireshark packet capture, sensitive-data identification, risk assessment, Wazuh monitoring, OpenSearch investigation, TLS implementation, encrypted communication testing, before-and-after traffic comparison, post-remediation validation, and Data Security & Privacy assessment workflow is successfully demonstrated.
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