Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2026-14735

CVE-2026-14735: Smart Parking System 1.0 SQLi Vulnerability

CVE-2026-14735 is a SQL injection vulnerability in Smart Parking System 1.0 affecting /parkings/parkings.php. Attackers can exploit this remotely to manipulate database queries. This article covers technical details, impact, and mitigation.

Published:

CVE-2026-14735 Overview

CVE-2026-14735 is a SQL injection vulnerability affecting code-projects Smart Parking System 1.0. The flaw resides in the /parkings/parkings.php script, where the street, city, and status request parameters are passed to backend SQL queries without proper sanitization. Attackers can exploit the issue remotely without authentication or user interaction. Public disclosure of the exploit has been confirmed, increasing the likelihood of opportunistic attacks against internet-exposed installations. The vulnerability is classified under [CWE-74] (Improper Neutralization of Special Elements in Output Used by a Downstream Component).

Critical Impact

Unauthenticated remote attackers can manipulate SQL queries through the street, city, or status parameters in /parkings/parkings.php, potentially leading to database disclosure and, per public analysis, arbitrary file read.

Affected Products

  • code-projects Smart Parking System 1.0
  • The vulnerable script is /parkings/parkings.php
  • Deployments exposing the application to untrusted networks

Discovery Timeline

  • 2026-07-05 - CVE-2026-14735 published to the National Vulnerability Database
  • 2026-07-07 - Last updated in NVD database

Technical Details for CVE-2026-14735

Vulnerability Analysis

The vulnerability is a classic SQL injection in the parking listing functionality of Smart Parking System 1.0. The /parkings/parkings.php endpoint accepts the street, city, and status parameters and concatenates them into a SQL query without parameterization or input validation. An attacker can inject SQL syntax through any of these three parameters to alter the query logic. According to the referenced Medium analysis, the injection can be chained to achieve arbitrary file read through database-level file functions. The impact is bounded to low confidentiality, integrity, and availability effects on the underlying database and application.

Root Cause

The root cause is improper neutralization of user-supplied input before it is placed into a SQL statement. The application fails to use prepared statements or parameterized queries when handling filter arguments. String concatenation of the street, city, and status values into the query enables adversary-controlled tokens to be interpreted as SQL syntax rather than data.

Attack Vector

The attack is delivered over the network by issuing crafted HTTP requests to /parkings/parkings.php with malicious payloads in the street, city, or status parameters. No credentials and no user interaction are required. Exploitation complexity is low because the injection points are reachable through standard request handling and the payload structure is disclosed publicly. See the Medium SQL Injection Analysis for a documented exploitation path.

No verified proof-of-concept code is reproduced here. Refer to the VulDB entry for CVE-2026-14735 and the VulDB vulnerability record #376317 for further technical detail.

Detection Methods for CVE-2026-14735

Indicators of Compromise

  • HTTP requests to /parkings/parkings.php containing SQL metacharacters such as ', --, UNION SELECT, or LOAD_FILE( in the street, city, or status parameters
  • Web server access logs showing repeated requests to parkings.php from a single source with varying parameter payloads
  • Database error messages or unexpected result set sizes returned from the parking listing endpoint
  • Evidence of file read attempts targeting sensitive paths such as /etc/passwd or application configuration files

Detection Strategies

  • Deploy web application firewall (WAF) signatures for SQL injection patterns targeting the street, city, and status parameters
  • Correlate anomalous query patterns in database audit logs with corresponding requests to /parkings/parkings.php
  • Use static analysis on the PHP source to identify concatenation of request parameters into query strings

Monitoring Recommendations

  • Enable verbose HTTP request logging for parkings.php and forward logs to a centralized analytics platform
  • Alert on outbound file read primitives observed in database queries, including LOAD_FILE and INTO OUTFILE
  • Monitor for repeated 500-series HTTP responses from the parking listing endpoint, which often indicate injection probing

How to Mitigate CVE-2026-14735

Immediate Actions Required

  • Restrict network access to Smart Parking System 1.0 instances until a fix is applied
  • Rewrite the query in /parkings/parkings.php to use prepared statements with bound parameters for street, city, and status
  • Apply server-side input validation and allow-listing for the status field, which typically has a fixed enumerated set of values
  • Review database and web server logs for prior exploitation attempts

Patch Information

No vendor patch has been published in the referenced advisories at the time of NVD publication. Administrators should track the Code Projects Resource Hub and the VulDB CVE-2026-14735 entry for updates. Until a fix is available, apply the workarounds below.

Workarounds

  • Place the application behind a WAF configured to block SQL injection payloads on /parkings/parkings.php
  • Enforce least-privilege database credentials so the application account cannot read arbitrary files or access unrelated schemas
  • Disable database functions such as LOAD_FILE and revoke FILE privileges from the application user
  • Require authentication and network segmentation for administrative interfaces of the parking system
bash
# Example: revoke FILE privilege from the application database user (MySQL/MariaDB)
REVOKE FILE ON *.* FROM 'parking_app'@'%';
FLUSH PRIVILEGES;

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.