Skip to main content
CVE Vulnerability Database

CVE-2025-3205: Student Grading System SQLi Vulnerability

CVE-2025-3205 is a critical SQL injection flaw in Codeastro Student Grading System 1.0 that allows remote attackers to manipulate database queries. This post covers technical details, affected versions, and mitigation.

Published:

CVE-2025-3205 Overview

CVE-2025-3205 is a SQL injection vulnerability in CodeAstro Student Grading System 1.0. The flaw resides in the studentsubject.php file, where the studentId parameter is passed directly into a SQL query without proper sanitization. Attackers can exploit this issue remotely over the network with low-privilege authentication. The exploit has been disclosed publicly, increasing the likelihood of opportunistic abuse against exposed installations. The vulnerability is tracked under [CWE-89] (SQL Injection) and [CWE-74] (Improper Neutralization of Special Elements).

Critical Impact

Remote attackers with low privileges can inject arbitrary SQL through the studentId parameter, leading to unauthorized read, modification, or deletion of database records in the Student Grading System.

Affected Products

  • CodeAstro Student Grading System 1.0
  • Component: studentsubject.php
  • Vulnerable parameter: studentId

Discovery Timeline

  • 2025-04-04 - CVE-2025-3205 published to NVD
  • 2025-05-07 - Last updated in NVD database

Technical Details for CVE-2025-3205

Vulnerability Analysis

The vulnerability is a classic SQL injection in the studentsubject.php script of CodeAstro Student Grading System 1.0. The studentId request argument is concatenated into a SQL statement without parameterization or input validation. Authenticated attackers can submit crafted values to alter query logic, exfiltrate data, or tamper with grading records. The attack is remotely exploitable over the network and does not require user interaction. Public disclosure of the exploit details lowers the barrier for adversaries to weaponize the flaw against internet-exposed deployments. The EPSS probability is 0.359% at the 27.5th percentile, reflecting current observed exploitation likelihood.

Root Cause

The root cause is improper neutralization of user-supplied input in a SQL query [CWE-89]. The studentId parameter received by studentsubject.php is incorporated directly into the database query string. The application lacks prepared statements, parameter binding, or allow-list validation that would prevent injection of SQL metacharacters.

Attack Vector

An authenticated attacker sends an HTTP request to studentsubject.php containing a malicious studentId value. The injected SQL fragment is parsed and executed by the backend database engine. Typical exploitation patterns include union-based extraction, boolean-based blind injection, and time-based blind injection to enumerate database contents or modify grading data.

No verified proof-of-concept code is available in trusted sources. Refer to the GitHub Issue Discussion and VulDB #303159 for technical details published by the reporters.

Detection Methods for CVE-2025-3205

Indicators of Compromise

  • HTTP requests to studentsubject.php containing SQL metacharacters such as single quotes, UNION SELECT, SLEEP(, --, or # within the studentId parameter.
  • Unusual database errors or response time anomalies generated by requests targeting studentsubject.php.
  • Web server access logs showing repeated probes against studentsubject.php from a single source IP within a short time window.

Detection Strategies

  • Deploy a web application firewall (WAF) with SQL injection signatures and inspect requests to studentsubject.php for tautology, union, and boolean payloads.
  • Enable verbose database query logging and alert on syntactically anomalous statements referencing the grading system tables.
  • Use static analysis on the PHP source to flag unsanitized concatenation of $_GET or $_POST values into SQL strings.

Monitoring Recommendations

  • Forward web server, PHP, and database logs to a centralized analytics platform and correlate requests with backend query failures.
  • Baseline normal studentId value patterns (numeric IDs) and alert on deviations such as alphabetic characters or SQL keywords.
  • Monitor authenticated user sessions for sudden bursts of requests to grading endpoints that may indicate automated injection tooling.

How to Mitigate CVE-2025-3205

Immediate Actions Required

  • Restrict network access to the Student Grading System to trusted internal networks or behind a VPN until a vendor fix is verified.
  • Place a WAF in front of the application with rules blocking SQL injection patterns on the studentId parameter.
  • Audit application and database logs for prior exploitation attempts referencing studentsubject.php.

Patch Information

No official vendor patch is referenced in the NVD entry at the time of publication. Consult the CodeAstro Security Resource for vendor updates and the VulDB CTI ID #303159 record for tracking remediation status.

Workarounds

  • Rewrite the database access logic in studentsubject.php to use prepared statements with parameter binding (for example, PDO with bound parameters or mysqli prepared statements).
  • Enforce server-side input validation that restricts studentId to expected numeric values before query construction.
  • Apply the principle of least privilege to the database account used by the application, removing rights to drop tables or access unrelated schemas.
  • Disable or remove the studentsubject.php endpoint if it is not required for production operations.
bash
# Example: validate studentId as integer before query execution
# (illustrative configuration, adapt to application code)
if (!ctype_digit($_GET['studentId'])) {
    http_response_code(400);
    exit('Invalid studentId');
}
$stmt = $pdo->prepare('SELECT * FROM students WHERE id = :id');
$stmt->execute([':id' => (int)$_GET['studentId']]);

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.