CVE-2026-31999

OpenClaw versions 2026.

Verified by Precogs Threat Research
Last Updated: Mar 19, 2026
Base Score
6.3MEDIUM

Executive Summary

CVE-2026-31999 is a medium severity vulnerability affecting appsec, ai-code. It is classified as OS Command Injection. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"The underlying mechanism of this vulnerability involves within OpenClaw versions 2026.2.26 prior, allowing the absence of comprehensive security boundaries. In a real-world scenario, an attacker could exploit this by gain unauthorized read or write access, effectively hijacking underlying configurations. Precogs AI Analysis Engine utilizes semantic code analysis to flag these architectural defects instantly."

Exploit Probability (EPSS)
Low (0.1%)
Public POC
Undisclosed
Exploit Probability
Low (<10%)
Public POC
Available
Affected Assets
appsecai codeCWE-78

What is this vulnerability?

CVE-2026-31999 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.

OpenClaw versions 2026.2.26 prior to 2026.3.1 on Windows contain a current working directory injection vulnerability in wrapper resolution for .cmd/.bat fi...

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 Score6.3 (MEDIUM)
Vector StringCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H
PublishedMarch 19, 2026
Last ModifiedMarch 19, 2026
Related CWEsCWE-78

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
SourceUser-supplied system argument
VectorArgument appended to a shell command string
Sinkchild_process.exec() or similar OS execution sink
ImpactRemote Code Execution (RCE), full system compromise

Vulnerable Code Pattern

// ❌ VULNERABLE: OS command injection
const { exec } = require('child_process');
function pingHost(host) {
  // Taint sink: unvalidated host string executed in shell
  exec('ping -c 4 ' + host, (error, stdout, stderr) => {
    console.log(stdout);
  });
}

Secure Code Pattern

// ✅ SECURE: ExecFile with parameter arrays
const { execFile } = require('child_process');
function pingHost(host) {
  // Sanitized execution: arguments passed safely, bypassing shell interpolation
  execFile('ping', ['-c', '4', host], (error, stdout, stderr) => {
    console.log(stdout);
  });
}

How Precogs Detects This

Precogs AI Analysis Engine natively intercepts unsafe OS command execution sinks, ensuring all arguments are properly separated from the execution context.\n

Related Vulnerabilitiesvia CWE-78

Is your system affected?

Precogs AI detects CVE-2026-31999 in compiled binaries, LLMs, and application layers — even without source code access.