CVE-2026-0677

Deserialization of Untrusted Data vulnerability in TotalSuite TotalContest Lite allows Object Injection.

Verified by Precogs Threat Research
Last Updated: Mar 20, 2026
Base Score
7.2HIGH

Executive Summary

CVE-2026-0677 is a high severity vulnerability affecting appsec. It is classified as Unsafe Deserialization. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"The root cause of this vulnerability lies in within Deserialization of Untrusted Data vulnerability, allowing the insecure processing of malicious payloads. This flaw provides a direct pathway for attackers to intercept or modify sensitive data flows before they reach secure enclaves. Precogs AI Analysis Engine leverages inter-procedural taint tracking to alert security teams to imminent boundary violations."

Exploit Probability (EPSS)
Low (0.0%)
Public POC
Undisclosed
Exploit Probability
Elevated (52%)
Public POC
Available
Affected Assets
appsecCWE-502

What is this vulnerability?

CVE-2026-0677 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.

Deserialization of Untrusted Data vulnerability in TotalSuite TotalContest Lite allows Object Injection.This issue affects TotalContest Lite: from n/a thro...

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 Score7.2 (HIGH)
Vector StringCVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
PublishedMarch 20, 2026
Last ModifiedMarch 20, 2026
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

Vulnerability Code Signature

Attack Data Flow

StageDetail
SourceSerialized object from untrusted network traffic
VectorObject instantiation during deserialization
SinkObjectInputStream.readObject() or similar
ImpactRemote Code Execution (RCE) via gadget chains

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

Related Vulnerabilitiesvia CWE-502

Is your system affected?

Precogs AI detects CVE-2026-0677 in compiled binaries, LLMs, and application layers — even without source code access.