CVE-2025-29783

[vllm] Remote Code Execution via Mooncake Integration

Verified by Precogs Threat Research
Last Updated: Mar 21, 2025
Base Score
9.5CRITICAL

Executive Summary

CVE-2025-29783 is a critical severity vulnerability affecting appsec, ai-code, binary-analysis. It is classified as Unsafe Deserialization. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"Precogs AI Analysis Engine identifies web application vulnerabilities through semantic code analysis, detecting injection flaws, broken authentication, and insecure data flows across your entire codebase."

Exploit Probability
High (84%)
Public POC
Available
Exploit Probability
High (84%)
Public POC
Available
Affected Assets
appsecai codebinary analysisvllmCWE-502

What is this vulnerability?

CVE-2025-29783 is categorized as a critical Application Verification Flaw flaw. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

Summary When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP will allow attackers to execute remote code on d.

This architectural defect enables adversaries to bypass intended security controls, directly manipulating the application's execution state or data layer. Immediate strategic intervention is required.

Risk Assessment

MetricValue
CVSS Base Score9.5 (CRITICAL)
Vector StringN/A
PublishedMarch 19, 2025
Last ModifiedMarch 21, 2025
Related CWEsCWE-502

Impact on Systems

Unauthorized Access: Flaws in application logic can permit unauthorized interaction with protected APIs.

Data Manipulation: Adversaries may alter critical application states, such as user roles or configurations.

Service Disruption: Improper error handling or unvalidated inputs can lead to resource exhaustion.

How to fix this issue?

Implement the following strategic mitigations immediately to eliminate the attack surface.

1. Defense in Depth Implement multi-layered validation (client-side, API gateway, and server-side).

2. Least Privilege Ensure backend service accounts operate with the absolute minimum rights required.

3. Security Regression Testing Integrate automated semantic security scanning into the deployment pipeline.

Vulnerability Signature

// Generic Application Security Flaw (Node.js)
app.post('/api/update-profile', (req, res) =\> \{
    // DANGEROUS: Mass Assignment / Object Injection
    // Attacker can pass \{ "isAdmin": true, "email": "..." \}
    User.update(\{ id: req.user.id \}, req.body);
    
    // SECURED: Explicitly select permitted fields
    const \{ email, displayName, bio \} = req.body;
    User.update(\{ id: req.user.id \}, \{ email, displayName, bio \});
\});

References and Sources

Related Vulnerabilitiesvia CWE-502