CVE-2025-54428
CVE-2025-54428
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
RevelaCode is an AI-powered faith-tech project that decodes biblical verses, prophecies and global events into accessible language. In versions below 1.0.1, a valid MongoDB Atlas URI with embedded username and password was accidentally committed to the public repository. This could allow unauthorized access to production or staging databases, potentially leading to data exfiltration, modification, or deletion. This is fixed in version 1.0.1. Workarounds include: immediately rotating credentials for the exposed database user, using a secret manager (like Vault, Doppler, AWS Secrets Manager, etc.) instead of storing secrets directly in code, or auditing recent access logs for suspicious activity.
Comprehensive Technical Analysis of CVE-2025-54428
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2025-54428 CVSS Score: 9.8
The vulnerability in RevelaCode, an AI-powered faith-tech project, involves the accidental exposure of a MongoDB Atlas URI containing embedded credentials in the public repository. This exposure occurred in versions below 1.0.1. The CVSS score of 9.8 indicates a critical severity due to the potential for unauthorized access to sensitive data, leading to data exfiltration, modification, or deletion.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Unauthorized Access: Attackers can use the exposed credentials to gain unauthorized access to the MongoDB Atlas database.
- Data Exfiltration: Once access is gained, attackers can exfiltrate sensitive data, including user information, biblical interpretations, and other proprietary data.
- Data Modification: Attackers can modify the data, leading to integrity issues and potential misinformation.
- Data Deletion: Attackers can delete data, causing data loss and service disruption.
Exploitation Methods:
- Credential Harvesting: Attackers can scan public repositories for exposed credentials.
- Database Access: Using the harvested credentials, attackers can connect to the MongoDB Atlas instance.
- Automated Scripts: Attackers can use automated scripts to exfiltrate, modify, or delete data.
3. Affected Systems and Software Versions
Affected Systems:
- RevelaCode project versions below 1.0.1.
- Any system or application that relies on the affected versions of RevelaCode.
Software Versions:
- RevelaCode versions below 1.0.1.
4. Recommended Mitigation Strategies
Immediate Actions:
- Rotate Credentials: Immediately rotate the credentials for the exposed database user.
- Audit Access Logs: Review recent access logs for any suspicious activity.
Long-Term Mitigations:
- Use Secret Managers: Implement a secret manager (e.g., Vault, Doppler, AWS Secrets Manager) to store and manage sensitive information securely.
- Code Audits: Regularly audit code repositories for exposed secrets and sensitive information.
- Access Controls: Implement strict access controls and monitoring for database access.
5. Impact on Cybersecurity Landscape
The exposure of sensitive credentials in public repositories is a common yet critical issue in the cybersecurity landscape. This incident highlights the importance of secure coding practices, regular code audits, and the use of secret management tools. Organizations must prioritize the protection of sensitive information to prevent unauthorized access and potential data breaches.
6. Technical Details for Security Professionals
Technical Overview:
- Exposed Credentials: The MongoDB Atlas URI with embedded username and password was committed to the public repository.
- Impact: Unauthorized access to production or staging databases, leading to data exfiltration, modification, or deletion.
Mitigation Steps:
-
Rotate Credentials:
- Generate new credentials for the MongoDB Atlas user.
- Update all applications and services to use the new credentials.
-
Use Secret Managers:
- Implement a secret manager to store and retrieve sensitive information securely.
- Example: Using AWS Secrets Manager:
aws secretsmanager create-secret --name RevelaCodeDBCredentials --secret-string '{"username":"new_username","password":"new_password"}'
-
Audit Access Logs:
- Review MongoDB Atlas access logs for any unauthorized access attempts.
- Example: Using MongoDB Atlas audit logs:
mongo --eval 'db.getSiblingDB("$external").runCommand({"getLog": "global"})'
-
Code Audits:
- Regularly scan code repositories for exposed secrets using tools like GitGuardian, TruffleHog, or GitHub's secret scanning feature.
-
Access Controls:
- Implement role-based access control (RBAC) for database access.
- Monitor database access and set up alerts for suspicious activities.
References:
By following these mitigation strategies and best practices, organizations can significantly reduce the risk of similar vulnerabilities and enhance their overall cybersecurity posture.