CVE-2025-29783

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

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

• NVD — CVE-2025-29783
• MITRE — CVE-2025-29783
• CWE-502 — MITRE CWE
• CWE-502 Details
• Application Security Vulnerabilities
• AI Code Security Vulnerabilities
• Binary Analysis Vulnerabilities

Vulnerability Code Signature

Attack Data Flow

Vulnerable Code Pattern

// ❌ VULNERABLE: Unsafe deserialization
public Object deserialize(byte[] data) throws Exception {
    ByteArrayInputStream bais = new ByteArrayInputStream(data);
    ObjectInputStream ois = new ObjectInputStream(bais);
    // Taint sink: instantiates arbitrary classes
    return ois.readObject();
}

Secure Code Pattern

// ✅ SECURE: Type-restricted deserialization
public Object deserialize(byte[] data) throws Exception {
    ByteArrayInputStream bais = new ByteArrayInputStream(data);
    // Use ValidatingObjectInputStream (Apache Commons IO)
    ValidatingObjectInputStream ois = new ValidatingObjectInputStream(bais);
    ois.accept(SafeClass.class);
    // Sanitized instantiation
    return ois.readObject();
}

How Precogs Detects This

Precogs AI Analysis Engine natively intercepts unsafe deserialization sinks to prevent remote code execution via object instantiation.\n