Description
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code execution vulnerability impacting any deployments using Mooncake to distribute KV across distributed hosts. This vulnerability is fixed in 0.8.0.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2025-6725
1. Vulnerability Assessment and Severity Evaluation
Vulnerability Description: The vulnerability in vLLM, identified as EUVD-2025-6725, involves unsafe deserialization when the system is configured to use Mooncake. This flaw allows attackers to execute remote code on distributed hosts via ZMQ/TCP interfaces. The vulnerability is classified as a remote code execution (RCE) issue, which is one of the most severe types of vulnerabilities due to its potential for complete system compromise.
Severity Evaluation:
The CVSS (Common Vulnerability Scoring System) base score of 9.1 indicates a critical severity level. The CVSS vector CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H breaks down as follows:
- Attack Vector (AV): Adjacent Network - The vulnerability is exploitable from an adjacent network.
- Attack Complexity (AC): Low - The attack requires minimal complexity.
- Privileges Required (PR): Low - The attacker needs low-level privileges.
- User Interaction (UI): None - No user interaction is required.
- Scope (S): Changed - The vulnerability affects a different security scope.
- Confidentiality (C): High - Complete loss of confidentiality.
- Integrity (I): High - Complete loss of integrity.
- Availability (A): High - Complete loss of availability.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network Access: Attackers can exploit this vulnerability by gaining access to the network where vLLM is deployed.
- Deserialization Flaw: The unsafe deserialization process can be manipulated to inject malicious code.
- ZMQ/TCP Interfaces: The vulnerability is exposed over ZMQ/TCP interfaces, making it accessible to attackers with network access.
Exploitation Methods:
- Crafted Payloads: Attackers can craft specially designed payloads that, when deserialized, execute arbitrary code.
- Network Sniffing: Attackers can intercept and manipulate network traffic to inject malicious data.
- Man-in-the-Middle Attacks: Attackers can intercept and modify communications between distributed hosts to exploit the vulnerability.
3. Affected Systems and Software Versions
Affected Systems:
- Any deployment of vLLM that uses Mooncake to distribute KV across distributed hosts.
Affected Software Versions:
- vLLM versions prior to 0.8.0, specifically:
- vLLM < 0.8.0
- vLLM 0.6.5, < 0.8.0
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Upgrade to Version 0.8.0: Upgrade vLLM to version 0.8.0 or later, which includes the fix for this vulnerability.
- Network Segmentation: Implement network segmentation to limit access to the vLLM deployment.
- Firewall Rules: Configure firewall rules to restrict access to ZMQ/TCP interfaces.
- Monitoring and Logging: Enhance monitoring and logging to detect any suspicious activity related to deserialization processes.
Long-Term Mitigation:
- Regular Patching: Ensure that all software components are regularly updated and patched.
- Security Audits: Conduct regular security audits and vulnerability assessments.
- Code Reviews: Implement strict code review processes to identify and mitigate similar vulnerabilities in the future.
5. Impact on European Cybersecurity Landscape
Impact Analysis:
- Widespread Deployment: Given the widespread use of vLLM in high-throughput and memory-efficient inference and serving engines, this vulnerability poses a significant risk to organizations relying on this technology.
- Critical Infrastructure: Organizations in critical infrastructure sectors, such as finance, healthcare, and government, are particularly at risk due to the potential for complete system compromise.
- Regulatory Compliance: Organizations must ensure compliance with European cybersecurity regulations, such as GDPR and NIS Directive, by promptly addressing this vulnerability.
6. Technical Details for Security Professionals
Technical Overview:
- Deserialization Process: The vulnerability stems from the unsafe deserialization of data, which can be exploited to execute arbitrary code.
- ZMQ/TCP Interfaces: The vulnerability is exposed over ZMQ/TCP interfaces, making it accessible to attackers with network access.
- Mooncake Configuration: The issue is specific to deployments using Mooncake for KV distribution.
References:
- GitHub Advisory: GHSA-x3m8-f7g5-qhm7
- Pull Request: Pull Request #14228
- Commit: Commit 288ca110f68d23909728627d3100e5a8db820aa2
- NVD Entry: CVE-2025-29783
Conclusion: The EUVD-2025-6725 vulnerability in vLLM is a critical issue that requires immediate attention. Organizations should prioritize upgrading to the patched version and implementing robust security measures to mitigate the risk of exploitation. The potential impact on the European cybersecurity landscape underscores the importance of prompt and effective mitigation strategies.