CVE-2017-20224

Telesquare SKT LTE Router SDT-CS3B1 version 1.

Verified by Precogs Threat Research
Last Updated: Mar 16, 2026
Base Score
9.8CRITICAL

Executive Summary

CVE-2017-20224 is a critical 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

"This critical flaw stems from within Telesquare SKT LTE Router SDT-CS3B1 version 1.2.0, allowing the insecure processing of malicious payloads. When targeted, an adversary might use this to intercept or modify sensitive data flows before they reach secure enclaves. Precogs AI Analysis Engine leverages inter-procedural taint tracking to prevent unauthorized logical exploitation."

Exploit Probability (EPSS)
Low (0.2%)
Public POC
Available
Exploit Probability
High (84%)
Public POC
Available
Affected Assets
appsecai codeCWE-434

What is this vulnerability?

CVE-2017-20224 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.

Telesquare SKT LTE Router SDT-CS3B1 version 1.2.0 contains an arbitrary file upload vulnerability that allows unauthenticated attackers to upload malicious...

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 Score9.8 (CRITICAL)
Vector StringCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
PublishedMarch 16, 2026
Last ModifiedMarch 16, 2026
Related CWEsCWE-434

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-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-2017-20224 in compiled binaries, LLMs, and application layers — even without source code access.