CVE-2026-29109

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
0UNKNOWN

Executive Summary

CVE-2026-29109 is a unknown severity vulnerability affecting appsec, ai-code. It is classified as Unsafe Deserialization. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"The underlying mechanism of this vulnerability involves within SuiteCRM, allowing a lack of rigorous type checking mechanisms. By manipulating this weakness, a threat actor can silently exfiltrate sensitive routing topologies and internal schemas. By intercepting insecure data flows from user input directly to rendering sinks, Precogs is designed to intercept unsafe execution patterns."

Exploit Probability (EPSS)
Low (0.1%)
Public POC
Undisclosed
Exploit Probability
Low (<10%)
Public POC
Available
Affected Assets
appsecai codeCWE-502

What is this vulnerability?

CVE-2026-29109 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. Versions up to and including 8.9.2 contain an uns...

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 Score0 (UNKNOWN)
Vector StringN/A
PublishedMarch 20, 2026
Last ModifiedMarch 20, 2026
Related CWEsCWE-502

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
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-2026-29109 in compiled binaries, LLMs, and application layers — even without source code access.