CVE-2026-32756

Admidio is an open-source user management solution.

Verified by Precogs Threat Research
Last Updated: Mar 20, 2026
Base Score
8.8HIGH

Executive Summary

CVE-2026-32756 is a high severity vulnerability affecting appsec, ai-code. It is classified as Unrestricted Upload. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"The underlying mechanism of this vulnerability involves within Admidio, allowing an architectural oversight in input validation. In practice, this allows unauthorized actors to silently exfiltrate sensitive routing topologies and internal schemas. Precogs AI Analysis Engine leverages inter-procedural taint tracking to harden the environment against lateral movement."

Exploit Probability (EPSS)
Low (0.0%)
Public POC
Undisclosed
Exploit Probability
Elevated (52%)
Public POC
Available
Affected Assets
appsecai codeCWE-434

What is this vulnerability?

CVE-2026-32756 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.

Admidio is an open-source user management solution. Versions 5.0.6 and below contain a critical unrestricted file upload vulnerability in the Documents & F...

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 Score8.8 (HIGH)
Vector StringCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
PublishedMarch 20, 2026
Last ModifiedMarch 20, 2026
Related CWEsCWE-434

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
SourceUser-uploaded file
VectorFile is saved to a web-accessible directory without validation
SinkFile system write operation
ImpactRemote Code Execution (RCE), full system compromise

Vulnerable Code Pattern

// ❌ VULNERABLE: Unrestricted Upload
$target_dir = "uploads/";
$target_file = $target_dir . basename($_FILES["fileToUpload"]["name"]);
// Taint sink: saving file without extension/type validation
move_uploaded_file($_FILES["fileToUpload"]["tmp_name"], $target_file);

Secure Code Pattern

// ✅ SECURE: Validated Upload
$target_dir = "uploads/";
$filename = basename($_FILES["fileToUpload"]["name"]);
$filetype = strtolower(pathinfo($filename, PATHINFO_EXTENSION));

// Sanitized validation: strict allowlist
$allowed_types = array("jpg", "png", "gif");
if (in_array($filetype, $allowed_types)) {
    // Generate safe unique filename
    $safe_filename = uniqid() . "." . $filetype;
    move_uploaded_file($_FILES["fileToUpload"]["tmp_name"], $target_dir . $safe_filename);
}

How Precogs Detects This

Precogs AI Analysis Engine utilizes semantic taint tracking to detect insecure file upload routines and missing extension validation.\n

Related Vulnerabilitiesvia CWE-434

Is your system affected?

Precogs AI detects CVE-2026-32756 in compiled binaries, LLMs, and application layers — even without source code access.