Blog | G5 Cyber Security

Cloud Database Memory Attacks: Prevention

TL;DR

Yes, attacks can steal database records directly from a cloud server’s memory. This guide explains how these attacks work and provides practical steps to protect your databases.

Understanding the Threat

Databases often store sensitive information in RAM for faster access. Attackers can exploit vulnerabilities to read this data directly, bypassing normal security measures like authentication. Common techniques include:

Cloud environments introduce additional risks, as servers are often shared and managed by a third party.

Prevention Steps

  1. Encryption at Rest & In Transit: This is your first line of defence.
    • At Rest: Encrypt the database files themselves. Most cloud providers offer this as a standard feature (e.g., AWS KMS, Azure Key Vault).
    • In Transit: Use TLS/SSL for all connections to the database. Ensure you’re using strong ciphers and regularly update certificates.
  2. Database Encryption Features: Many databases have built-in encryption options.
    • Transparent Data Encryption (TDE): Encrypts data on disk without application changes.
    • Column-Level Encryption: Encrypt specific sensitive columns within the database.
  3. Memory Protection Techniques: These make it harder to read memory contents.
    • Page Protection: Operating system features that prevent unauthorized access to memory pages. Configure these settings appropriately.
    • Address Space Layout Randomization (ASLR): Randomizes the location of key data areas in memory, making attacks more difficult. Ensure ASLR is enabled on your servers. Check with
      sysctl -a | grep aslr

      (Linux) or review system settings in Windows.

  4. Regular Security Patching: Keep your database software, operating system, and all related components up to date.
    • Automate patching where possible.
    • Prioritize critical security updates.
  5. Access Control & Least Privilege: Limit access to the database server and data as much as possible.
    • Use strong passwords and multi-factor authentication (MFA).
    • Grant users only the permissions they need.
  6. Intrusion Detection & Monitoring: Detect suspicious activity that could indicate a memory attack.
    • Monitor for unusual process behaviour, such as attempts to read database memory.
    • Use security information and event management (SIEM) systems to collect and analyze logs.
  7. Virtual Machine Isolation: Cloud providers offer various isolation options.
    • Dedicated Hosts: Provide exclusive hardware for your VMs, reducing the risk of attacks from other tenants.
    • Secure Enclaves (e.g., AWS Nitro Enclaves): Create isolated execution environments for sensitive data processing.
  8. Data Masking & Tokenization: Reduce the value of stolen data.
    • Masking: Replace sensitive data with realistic but fake values.
    • Tokenization: Replace sensitive data with non-sensitive tokens.

By implementing these steps, you can significantly reduce the risk of database memory attacks in your cloud environment.

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