Data Classification
The information stored in MongoDB is identified as sensitive test data.
Establish which data requires protection.
Organizations use MongoDB to store application data such as customer information, employee records, transaction information, application configurations, and other business data.
Database backups are essential for recovering data after accidental deletion, system failure, ransomware, or other incidents. However, if a MongoDB backup is stored without adequate encryption and access protection, anyone who obtains the backup file may potentially access the sensitive information contained within it.
This creates a data-at-rest security and privacy risk.
In this use case, a real MongoDB environment is deployed on Ubuntu Linux inside an isolated laboratory using VirtualBox. Synthetic sensitive records are inserted into MongoDB to represent realistic enterprise data without using any real personal information.
A legitimate MongoDB backup is created using the native mongodump utility. The backup is first maintained in an unencrypted form to demonstrate the data-exposure risk. The same backup is then protected using GnuPG encryption and its integrity is verified using cryptographic hashing.
Wazuh is used to monitor the backup storage location and detect unauthorized or unexpected activity involving backup files. OpenSearch is used to centralize and investigate the generated security events.
The objective is to demonstrate how organizations can protect MongoDB backup data through encryption, integrity verification, access monitoring, and security-event investigation.
The complete workflow is: MongoDB → Sensitive Test Data → Backup Creation → Unencrypted Backup Risk → Backup Encryption → Integrity Verification → File Monitoring → Wazuh Detection → OpenSearch Investigation → Data Protection Validation
MongoDB is the real database application used in this use case. It is deployed locally on Ubuntu and configured as a working database environment. The database contains synthetic records representing information such as Customer ID, Customer name, Email address, Phone number, Account information, Transaction reference, and Internal application data.
A database administrator may create backups for disaster recovery but fail to encrypt the resulting backup files. Even though MongoDB itself may have authentication and authorization controls, those controls do not automatically protect a backup file that has already been exported from the database.
The security problem occurs when sensitive MongoDB data is exported using mongodump and the resulting backup is stored without encryption. If unauthorized access to the backup file is obtained, the sensitive database contents may be exposed. Therefore, database security must extend beyond the live database into the backup lifecycle.
The security problem is therefore:
The proposed solution introduces backup encryption, backup access monitoring, file integrity verification, unauthorized backup-access detection, security-event monitoring, centralized investigation, and backup protection validation.
The controlled scenario demonstrates how sensitive information can become exposed when a MongoDB backup is stored without encryption. The activity is performed only within the isolated laboratory using synthetic sensitive records and an authorized Kali Linux test account.
The assessment focuses on unencrypted backup files, unauthorized backup-file access, backup file modification, backup integrity, encryption status, backup storage security, and sensitive-data protection.
The primary security concept is Data-at-Rest Protection.
The objective is to ensure that sensitive information remains protected not only inside the live MongoDB database but also when it is exported into backup files. The assessment considers backup encryption status, backup file permissions, backup location, file access events, file modification events, cryptographic hash, backup integrity, sensitive-data exposure risk, monitoring coverage, and protection effectiveness.
The secure processing flow is:
The information stored in MongoDB is identified as sensitive test data.
Establish which data requires protection.
MongoDB data is exported using mongodump.
Create a recoverable database backup.
The generated backup is encrypted using GnuPG.
Prevent unauthorized users from directly reading backup contents.
Backup files are stored in a restricted directory with appropriate Linux permissions.
Limit access to authorized users and processes.
Wazuh monitors the backup directory for unauthorized file activity.
Detect unexpected creation, modification, deletion, or access-related changes.
A SHA-256 hash is generated for the protected backup.
Detect unauthorized modification of the backup.
Wazuh collects relevant security telemetry.
Provide visibility into backup-related security events.
OpenSearch is used to analyze security events.
Investigate suspicious backup activity and determine its impact.
The encrypted backup is tested for confidentiality and integrity.
Verify that the implemented controls actually protect the backup.
Backup activity continues to be monitored after protection is implemented.
Detect future unauthorized activity involving protected backup files.
MongoDB is the real application/database used in this project.
mongodump is MongoDB's native database backup utility.
GnuPG is used to encrypt the MongoDB backup.
SHA-256 is used to calculate a cryptographic hash of the protected backup.
Wazuh monitors the backup storage environment.
OpenSearch is used to investigate Wazuh security events.
Ubuntu hosts the MongoDB environment.
Kali Linux is used as the authorized security-testing system.
VirtualBox provides the isolated laboratory.