Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2025-10421

CVE-2025-10421: Student Grading System SQLi Vulnerability

CVE-2025-10421 is a SQL injection flaw in Oretnom23 Student Grading System 1.0 affecting the update_account.php file. Attackers can exploit the ID parameter remotely. This article covers technical details, impact, and mitigation.

Published:

CVE-2025-10421 Overview

CVE-2025-10421 is a SQL injection vulnerability in SourceCodester Student Grading System 1.0, developed by oretnom23. The flaw resides in the /update_account.php file, where the ID parameter is not properly sanitized before being incorporated into a database query. Remote attackers can manipulate the ID argument to inject arbitrary SQL statements. The exploit has been publicly disclosed, increasing the risk of opportunistic attacks against exposed instances. The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component).

Critical Impact

Authenticated remote attackers can execute arbitrary SQL queries against the backend database, potentially exposing or modifying student grading records.

Affected Products

  • Oretnom23 Student Grading System 1.0
  • SourceCodester Student Grading System (CPE: cpe:2.3:a:oretnom23:student_grading_system:1.0)
  • Deployments using the vulnerable /update_account.php endpoint

Discovery Timeline

  • 2025-09-15 - CVE-2025-10421 published to NVD
  • 2026-04-29 - Last updated in NVD database

Technical Details for CVE-2025-10421

Vulnerability Analysis

The vulnerability exists in the account update workflow of the Student Grading System. The /update_account.php script accepts an ID parameter from client requests and passes it directly into a SQL query without parameterization or input validation. This pattern allows attackers to break out of the intended query context and append malicious SQL syntax.

The attack requires low privileges and can be executed over the network without user interaction. Because the application backend stores student records, account data, and grading information, successful exploitation can compromise the confidentiality and integrity of academic data.

Root Cause

The root cause is the absence of prepared statements or parameterized queries in the handling of the ID parameter inside /update_account.php. User-supplied input is concatenated directly into SQL syntax, allowing attackers to alter query semantics. This falls under [CWE-74], reflecting a broader failure to neutralize special elements before passing them to a downstream interpreter.

Attack Vector

An authenticated attacker submits a crafted HTTP request to /update_account.php with a malicious ID value containing SQL metacharacters. The server-side code interpolates the payload into a query against the MySQL backend. Attackers can use union-based, boolean-based, or time-based techniques to extract data, modify records, or enumerate the database schema.

The vulnerability mechanism follows the standard SQL injection pattern: tainted input reaches a SQL execution sink without sanitization. Refer to the GitHub issue and VulDB entry #323855 for the published proof-of-concept details.

Detection Methods for CVE-2025-10421

Indicators of Compromise

  • HTTP requests to /update_account.php containing SQL metacharacters such as ', --, UNION SELECT, or SLEEP( in the ID parameter.
  • Web server access logs showing repeated requests to /update_account.php with unusually long or encoded ID values.
  • Database error messages returned in HTTP responses referencing MySQL syntax errors.
  • Unexpected modifications to user account or grading tables outside normal application workflows.

Detection Strategies

  • Deploy web application firewall (WAF) rules to inspect query parameters submitted to /update_account.php for SQL injection signatures.
  • Enable database query logging and alert on queries containing tautologies such as OR 1=1 or stacked statements.
  • Correlate authentication events with subsequent suspicious database activity to identify abuse of low-privilege accounts.

Monitoring Recommendations

  • Forward web server and PHP error logs to a centralized SIEM for retention and correlation.
  • Monitor outbound database traffic for anomalous query patterns or volume spikes from the application host.
  • Track HTTP 500 responses originating from /update_account.php, which often indicate failed injection attempts.

How to Mitigate CVE-2025-10421

Immediate Actions Required

  • Restrict network access to the Student Grading System application to trusted users and internal networks only.
  • Audit existing user accounts and rotate credentials for any account capable of authenticating to the application.
  • Review web server and database logs for evidence of prior exploitation attempts against /update_account.php.

Patch Information

No official vendor patch has been published for CVE-2025-10421 at the time of writing. Administrators should monitor the SourceCodester project page and the GitHub issue tracker for updates. Where no patch is available, organizations should consider replacing the application or implementing the workarounds below.

Workarounds

  • Modify /update_account.php to use prepared statements with bound parameters via PDO or MySQLi instead of string concatenation.
  • Apply strict server-side input validation requiring the ID parameter to match a numeric pattern before reaching the database layer.
  • Deploy a WAF with SQL injection signatures in front of the application to block malicious payloads.
  • Apply database-level least privilege by restricting the application's database user to only the tables and operations it requires.
bash
# Example ModSecurity rule to block SQLi patterns on the vulnerable endpoint
SecRule REQUEST_URI "@beginsWith /update_account.php" \
    "id:1010421,phase:2,deny,status:403,\
    chain,msg:'Potential SQLi in ID parameter (CVE-2025-10421)'"
    SecRule ARGS:ID "@detectSQLi" "t:none,t:urlDecode"

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.