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Vulnerability Database/CVE-2026-15137

CVE-2026-15137: Interview Management System SQLi Flaw

CVE-2026-15137 is a SQL injection vulnerability in Interview Management System 1.0 affecting the View.php file. Attackers can remotely exploit the ID parameter to inject malicious SQL. This article covers technical details, impact, and mitigation.

Published:

CVE-2026-15137 Overview

CVE-2026-15137 is a SQL injection vulnerability in code-projects Interview Management System 1.0. The flaw resides in the \inc\classes\View.php file, where the ID argument is passed to a database query without proper sanitization. Attackers can manipulate the ID parameter to inject arbitrary SQL statements. The vulnerability is remotely exploitable, requires no authentication, and no user interaction. A public exploit has been disclosed, increasing the risk of opportunistic attacks against exposed installations. The weakness is classified under CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component.

Critical Impact

Unauthenticated remote attackers can inject SQL statements through the ID parameter in View.php, potentially exposing or modifying data stored in the Interview Management System database.

Affected Products

  • code-projects Interview Management System 1.0
  • Vulnerable component: \inc\classes\View.php
  • Vulnerable parameter: ID

Discovery Timeline

  • 2026-07-09 - CVE CVE-2026-15137 published to NVD
  • 2026-07-09 - Last updated in NVD database

Technical Details for CVE-2026-15137

Vulnerability Analysis

The vulnerability is a classic SQL injection issue in the View.php component of the Interview Management System. The application accepts an ID value from the request and concatenates it directly into a SQL query. Because the parameter is not sanitized, parameterized, or type-cast, an attacker can break out of the intended query context and append arbitrary SQL. The attack surface is exposed over the network with no privileges and no user interaction required. According to the enriched data, the exploit has been made publicly available, which lowers the barrier for reuse in automated scanning tools. EPSS assigns this issue a probability of 0.263% with a percentile of 17.714.

Root Cause

The root cause is improper neutralization of special elements in the ID parameter before it is used inside a SQL statement in \inc\classes\View.php. The application does not implement prepared statements or input validation on the parameter, allowing SQL metacharacters to alter query semantics. This maps to CWE-74 and is the standard pattern for injection flaws in PHP applications that build queries via string concatenation.

Attack Vector

An unauthenticated remote attacker crafts an HTTP request to the vulnerable endpoint and supplies a malicious value for the ID parameter. Typical payloads use union-based, boolean-based, or time-based techniques to extract rows from the underlying database, enumerate schema information, or modify records. Because no authentication is required, mass scanning tools can locate and exploit exposed instances automatically. Refer to the VulDB entry for CVE-2026-15137 and the GitHub CVE Issue Discussion for technical details on the disclosed payloads.

Detection Methods for CVE-2026-15137

Indicators of Compromise

  • HTTP requests to endpoints backed by \inc\classes\View.php containing SQL metacharacters such as ', ", --, UNION SELECT, SLEEP(, or INFORMATION_SCHEMA in the ID parameter.
  • Web server or PHP error logs referencing SQL syntax errors originating from View.php.
  • Unusual outbound queries or elevated response times on requests carrying the ID parameter, suggesting time-based blind injection.

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules that inspect the ID parameter for SQL injection signatures on requests targeting View.php.
  • Enable database query logging and alert on queries containing tautologies such as OR 1=1, stacked queries, or references to information_schema originating from the application user.
  • Correlate application logs and database logs to identify anomalous query patterns tied to a single client IP or session.

Monitoring Recommendations

  • Monitor HTTP access logs for repeated failed requests to View.php with encoded or obfuscated ID values.
  • Track authentication-less traffic patterns to internet-exposed instances of Interview Management System 1.0.
  • Alert on database errors that surface in HTTP responses, which frequently indicate probing for injection points.

How to Mitigate CVE-2026-15137

Immediate Actions Required

  • Restrict network exposure of the Interview Management System 1.0 application until a fix is applied, for example by placing it behind an authenticated reverse proxy or VPN.
  • Deploy WAF signatures that block SQL injection payloads targeting the ID parameter in View.php.
  • Audit database and application logs for prior exploitation attempts using the indicators listed above.

Patch Information

No vendor patch is referenced in the enriched CVE data at the time of publication. Consult the Code Projects Resource Hub and the VulDB submission page for future updates. Until a vendor fix is released, apply source-level mitigations by refactoring the vulnerable query in \inc\classes\View.php to use prepared statements with bound parameters (for example, PDO with bindParam) and enforce strict integer type-casting on the ID value.

Workarounds

  • Modify \inc\classes\View.php to cast the ID parameter to an integer before use, for example $id = (int)$_GET['ID'];.
  • Replace string-concatenated SQL with parameterized queries using PDO or mysqli prepared statements.
  • Restrict the database account used by the application to least-privilege permissions to limit the impact of successful injection.
  • Disable verbose SQL error messages in production PHP configuration to prevent information leakage that aids attackers.
bash
# Configuration example: harden PHP error handling in php.ini
display_errors = Off
log_errors = On
error_reporting = E_ALL & ~E_DEPRECATED & ~E_STRICT

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

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