CVE-2026-29108

SuiteCRM is an open-source, enterprise-ready Customer Relationship Management (CRM) software application.

Verified by Precogs Threat Research
Last Updated: Mar 20, 2026
Base Score
6.5MEDIUM

Executive Summary

CVE-2026-29108 is a medium severity vulnerability affecting pii-secrets, ai-code, appsec. It is classified as Information Exposure. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"This exposure is a direct consequence of within SuiteCRM, allowing a failure to enforce strict data boundary conditions. Exploitation typically involves an attacker attempting to inject malicious logic that alters the execution flow of the application engine. By scanning all web responses and configuration files, Precogs is able to alert security teams to imminent boundary violations."

Exploit Probability (EPSS)
Low (0.0%)
Public POC
Undisclosed
Exploit Probability
Low (<10%)
Public POC
Available
Affected Assets
pii secretsai codeappsecCWE-200

What is this vulnerability?

CVE-2026-29108 is categorized as a critical Code Injection / RCE flaw. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

SuiteCRM is an open-source, enterprise-ready Customer Relationship Management (CRM) software application. Prior to versions 8.9.3, an authenticated API end...

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 Score6.5 (MEDIUM)
Vector StringCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
PublishedMarch 20, 2026
Last ModifiedMarch 20, 2026
Related CWEsCWE-200

Impact on Systems

Remote Code Execution: Attackers achieve arbitrary command execution within the context of the application server.

Privilege Escalation: Initial code execution can be exploited to pivot and elevate privileges across the network.

Persistent Backdoors: Attackers can bind reverse shells, modify source files, or inject persistent access mechanisms.

How to fix this issue?

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

1. Remove Dynamic Evaluation Completely eliminate the use of dynamic evaluation functions (eval(), exec(), system()) on untrusted input.

2. Sandboxing If dynamic execution is an absolute business requirement, isolate the execution environment in tightly constrained, non-networked sandboxes (e.g., restricted WebAssembly or isolated containers).

3. Network Segmentation Restrict outbound traffic from the application server (egress filtering) to prevent reverse shell connections.

Vulnerability Signature

// Vulnerable Node.js Execution
const exec = require('child_process').exec;
const user_domain = req.query.domain;
// VULNERABLE: Injecting user input directly into system shell commands
exec('ping -c 4 ' + user_domain, (error, stdout, stderr) =\> \{
    res.send(stdout);
\});

// EXPLOIT PAYLOAD: precogs.ai ; cat /etc/passwd

References and Sources

Vulnerability Code Signature

Attack Data Flow

StageDetail
SourceApplication error or debug endpoint
VectorVerbose error messages or sensitive metadata returned to the client
SinkHTTP response
ImpactInformation gathering, aids in further attacks

Vulnerable Code Pattern

# ❌ VULNERABLE: Information Exposure
@app.errorhandler(500)
def internal_error(error):
    # Taint sink: returns stack trace to user
    return f"Internal Server Error: {error}", 500

Secure Code Pattern

# ✅ SECURE: Generic error message
@app.errorhandler(500)
def internal_error(error):
    # Log the detailed error internally
    app.logger.error(f"Server Error: {error}")
    # Return a generic message to the user
    return "An internal server error occurred.", 500

How Precogs Detects This

Precogs API Security Engine comprehensively audits all web endpoints to ensure verbose error messages and sensitive metadata are not exposed.\n

Related Vulnerabilitiesvia CWE-200

Is your system affected?

Precogs AI detects CVE-2026-29108 in compiled binaries, LLMs, and application layers — even without source code access.