CVE-2026-15137
Received Received - Intake

SQL Injection in Interview Management System 1.0

Vulnerability report for CVE-2026-15137, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-07-09

Last updated on: 2026-07-09

Assigner: VulDB

Description

A weakness has been identified in code-projects Interview Management System 1.0. This vulnerability affects unknown code of the file \inc\classes\View.php. This manipulation of the argument ID causes sql injection. The attack can be initiated remotely. The exploit has been made available to the public and could be used for attacks.

CVSS Scores

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Meta Information

Published
2026-07-09
Last Modified
2026-07-09
Generated
2026-07-09
AI Q&A
2026-07-09
EPSS Evaluated
N/A
NVD
EUVD

Affected Vendors & Products

Currently, no data is known.

Helpful Resources

Exploitability

CWE
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KEV
KEV Icon
CWE ID Description
CWE-74 The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

Attack-Flow Graph

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Executive Summary

CVE-2026-15137 is a SQL injection vulnerability found in the Interview Management System Project version 1.0, specifically in the file \inc\classes\View.php.

The vulnerability occurs because the 'id' parameter is not properly validated, allowing attackers to inject malicious SQL queries directly into the system.

This flaw enables unauthorized access to the database, data tampering, leakage of sensitive information, and potentially full control over the system without needing login or authorization.

Attackers can exploit this vulnerability using various SQL injection techniques such as error-based, stacked queries, or time-based blind methods.

Recommended mitigations include using prepared statements with parameter binding, strict input validation, minimizing database user permissions, and performing regular security audits.

Impact Analysis

This vulnerability can have severe impacts including unauthorized access to your database, allowing attackers to view, modify, or delete sensitive data.

It can lead to data tampering and leakage of confidential information, which compromises data integrity and privacy.

Attackers may gain complete control over the affected system without needing any authentication, increasing the risk of further exploitation.

Detection Guidance

This vulnerability can be detected by testing the 'id' parameter in the Interview Management System Project V1.0 for SQL injection flaws. Techniques include using error-based, stacked queries, or time-based blind SQL injection payloads to observe abnormal responses or delays from the system.

Common commands to detect this vulnerability might involve sending specially crafted HTTP requests with SQL injection payloads in the 'id' parameter, such as appending "' OR '1'='1" or using time delays like "' OR SLEEP(5)--" to check for response time differences.

For example, using curl to test the vulnerability could look like this:

  • curl "http://targetsite/path/to/View.php?id=1' OR '1'='1"
  • curl "http://targetsite/path/to/View.php?id=1' OR SLEEP(5)--"

Observing unexpected data exposure or delayed responses indicates the presence of the SQL injection vulnerability.

Mitigation Strategies

Immediate mitigation steps include implementing prepared statements with parameter binding to prevent SQL injection through the 'id' parameter.

Additionally, strict input validation should be enforced to ensure only expected data types and formats are accepted.

Minimizing database user permissions to the least required privileges can reduce the impact of a successful attack.

Conducting regular security audits and code reviews will help identify and fix similar vulnerabilities proactively.

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