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CVE-2025-29783

9.0 · CRITICAL

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs.

Published Mar 19, 2025CWE-502EPSS 0.73%

Overview

CVE-2025-29783 is a critical-severity vulnerability. It was published on March 19, 2025 and has a CVSS 3.1 base score of 9.0 (CRITICAL).

This vulnerability has a CVSS 3.1 base score of 9.0, rated CRITICAL. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical 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.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently asked questions

What is CVE-2025-29783?

CVE-2025-29783 is a critical-severity vulnerability. It was published on March 19, 2025 and has a CVSS 3.1 base score of 9.0 (CRITICAL).

How severe is CVE-2025-29783?

This vulnerability has a CVSS 3.1 base score of 9.0, rated CRITICAL. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2025-29783?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2025-29783?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-29783 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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