EUVD-2025-34928

Comprehensive Technical Analysis of EUVD-2025-34928

1. Vulnerability Assessment and Severity Evaluation

The vulnerability described in EUVD-2025-34928 affects the Restaurant Brands International (RBI) assistant platform. This vulnerability allows a remote authenticated attacker to obtain a token with administrative privileges via the createToken GraphQL mutation. The CVSS (Common Vulnerability Scoring System) base score of 9.9 indicates a critical severity level. The CVSS vector CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H breaks down as follows:

• Attack Vector (AV): Network (N) - The vulnerability is exploitable over the network.
• Attack Complexity (AC): Low (L) - The attack requires minimal skill or resources.
• Privileges Required (PR): Low (L) - The attacker needs low-level privileges to exploit the vulnerability.
• User Interaction (UI): None (N) - No user interaction is required for the attack to succeed.
• Scope (S): Changed (C) - The vulnerability affects a different security scope.
• Confidentiality (C): High (H) - The vulnerability results in a complete loss of confidentiality.
• Integrity (I): High (H) - The vulnerability results in a complete loss of integrity.
• Availability (A): High (H) - The vulnerability results in a complete loss of availability.

2. Potential Attack Vectors and Exploitation Methods

The primary attack vector involves a remote authenticated attacker exploiting the createToken GraphQL mutation to obtain administrative privileges. This can be achieved through the following steps:

1. Authentication: The attacker must first authenticate to the RBI assistant platform.
2. GraphQL Mutation: The attacker sends a specially crafted createToken GraphQL mutation request.
3. Token Generation: The platform generates a token with administrative privileges.
4. Privilege Escalation: The attacker uses the token to gain unauthorized access to administrative functions.

Potential exploitation methods include:

• Automated Scripts: Using automated scripts to send the createToken mutation.
• Man-in-the-Middle (MitM) Attacks: Intercepting and modifying GraphQL requests to include the malicious mutation.
• Credential Stuffing: Using stolen or leaked credentials to authenticate and exploit the vulnerability.

3. Affected Systems and Software Versions

The vulnerability affects the RBI assistant platform versions up to and including 2025-09-06. All systems running this platform within the specified version range are at risk. This includes:

• RBI Assistant Platform: Versions 0 through 2025-09-06.
• Related Brands: Burger King, Popeyes, and Tim Hortons, which use the RBI assistant platform.

4. Recommended Mitigation Strategies

To mitigate the risk associated with this vulnerability, the following strategies are recommended:

1. Patch Management: Immediately apply the latest patches and updates provided by RBI.
2. Access Controls: Implement strict access controls and multi-factor authentication (MFA) to limit unauthorized access.
3. Monitoring and Logging: Enhance monitoring and logging of GraphQL requests to detect and respond to suspicious activities.
4. Network Segmentation: Segment the network to isolate critical systems and limit the spread of potential attacks.
5. User Education: Educate users about the importance of strong passwords and the risks of credential stuffing.

5. Impact on European Cybersecurity Landscape

The vulnerability poses a significant risk to the European cybersecurity landscape, particularly for organizations and individuals using the RBI assistant platform. The potential for unauthorized access to administrative functions can lead to data breaches, financial loss, and reputational damage. The high CVSS score underscores the urgency for immediate action to mitigate the risk.

6. Technical Details for Security Professionals

GraphQL Mutation Example:

mutation {
  createToken(input: {
    username: "attacker",
    password: "password123",
    role: "admin"
  }) {
    token
  }
}

Detection and Response:

• Intrusion Detection Systems (IDS): Configure IDS to detect and alert on suspicious GraphQL mutations.
• Security Information and Event Management (SIEM): Integrate SIEM solutions to correlate and analyze GraphQL request logs.
• Incident Response Plan: Develop and implement an incident response plan specific to GraphQL-based attacks.

References:

• Yahoo News Article
• Malwarebytes Blog
• NVD CVE-2025-62645

By addressing the vulnerability promptly and implementing robust security measures, organizations can significantly reduce the risk of exploitation and protect their critical assets.