EUVD-2025-24154

Comprehensive Technical Analysis of EUVD-2025-24154

1. Vulnerability Assessment and Severity Evaluation

The vulnerability EUVD-2025-24154 pertains to a deserialization flaw in the ModelCache for LLM through version 0.2.0. This vulnerability is located in the /manager/data_manager.py component, allowing attackers to execute arbitrary code by supplying crafted data. The CVSS (Common Vulnerability Scoring System) base score of 9.8 indicates a critical severity level. The CVSS vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/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): None (N) - No privileges are required to exploit the vulnerability.
• User Interaction (UI): None (N) - No user interaction is required.
• Scope (S): Unchanged (U) - The vulnerability does not change the security scope.
• Confidentiality (C): High (H) - Complete loss of confidentiality.
• Integrity (I): High (H) - Complete loss of integrity.
• Availability (A): High (H) - Complete loss of availability.

2. Potential Attack Vectors and Exploitation Methods

The primary attack vector involves sending crafted data to the vulnerable component /manager/data_manager.py. Attackers can exploit this vulnerability by:

• Network-Based Attacks: Sending malicious data over the network to the affected system.
• Crafted Data Injection: Supplying specially crafted data that, when deserialized, executes arbitrary code.
• Remote Code Execution (RCE): Leveraging the deserialization flaw to execute malicious code on the target system.

3. Affected Systems and Software Versions

The vulnerability affects ModelCache for LLM versions up to and including 0.2.0. Any system running this software version is at risk. Specifically, the following components are affected:

• /manager/data_manager.py
• /manager/factory.py

4. Recommended Mitigation Strategies

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

• Patch Management: Upgrade to a patched version of ModelCache for LLM as soon as it becomes available.
• Input Validation: Implement strict input validation to ensure that only expected data formats are processed.
• Deserialization Safeguards: Use secure deserialization libraries or methods that do not allow arbitrary code execution.
• Network Security: Implement network security measures such as firewalls and intrusion detection systems to monitor and block suspicious network traffic.
• Regular Audits: Conduct regular security audits and code reviews to identify and address similar vulnerabilities.

5. Impact on European Cybersecurity Landscape

The critical nature of this vulnerability poses a significant risk to organizations using ModelCache for LLM within the European Union. The potential for remote code execution can lead to data breaches, system compromises, and loss of service availability. This underscores the importance of robust cybersecurity practices and timely patch management to protect against such threats.

6. Technical Details for Security Professionals

Vulnerability Details:

• Component: /manager/data_manager.py
• Affected Lines: L84C1-L84C43
• Related Component: /manager/factory.py
• Affected Lines: L18C1-L18C71

References:

• ModelCache GitHub Repository
• Factory Component
• PyTorch Documentation
• Vulnerability Research

Aliases:

• CVE ID: CVE-2025-45146

Assigner:

• MITRE

EPSS:

• Not Available

ENISA ID:

• Product: n/a
• Vendor: n/a

By addressing this vulnerability promptly and effectively, organizations can significantly reduce the risk of exploitation and maintain the integrity and security of their systems.