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CVE Vulnerability Database
Vulnerability Database/CVE-2025-8273

CVE-2025-8273: Exam Form Submission SQLi Vulnerability

CVE-2025-8273 is a critical SQL injection vulnerability in Code-projects Exam Form Submission 1.0 that allows remote attackers to manipulate database queries. This article covers technical details, affected versions, and mitigation.

Published: March 17, 2026

CVE-2025-8273 Overview

A critical SQL injection vulnerability has been discovered in code-projects Exam Form Submission version 1.0. The vulnerability exists in the /admin/update_s8.php file, where the credits parameter is not properly sanitized before being used in SQL queries. This allows remote attackers to inject malicious SQL statements, potentially leading to unauthorized data access, modification, or deletion within the underlying database.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive student and administrative data, modify exam records, or potentially gain further access to the underlying server infrastructure.

Affected Products

  • code-projects Exam Form Submission 1.0

Discovery Timeline

  • 2025-07-28 - CVE-2025-8273 published to NVD
  • 2025-07-30 - Last updated in NVD database

Technical Details for CVE-2025-8273

Vulnerability Analysis

This SQL injection vulnerability affects the administrative interface of the Exam Form Submission application. The vulnerable endpoint /admin/update_s8.php accepts user-supplied input through the credits parameter without implementing proper input validation or parameterized queries. When malicious input containing SQL syntax is submitted, the application directly incorporates this input into database queries, allowing attackers to manipulate the query logic.

The vulnerability is remotely exploitable without authentication requirements, meaning attackers can launch attacks directly over the network. The exploit has been publicly disclosed, increasing the risk of active exploitation in the wild.

Root Cause

The root cause of this vulnerability is CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly known as Injection. The application fails to properly sanitize or validate the credits parameter before incorporating it into SQL statements. This lack of input validation allows special characters and SQL keywords to be interpreted as part of the database query rather than as literal data values.

Attack Vector

The attack vector is network-based, allowing remote exploitation. An attacker can craft HTTP requests to the /admin/update_s8.php endpoint with malicious SQL payloads injected into the credits parameter. This can be accomplished through direct HTTP requests or by manipulating form submissions. The vulnerability does not require user interaction or prior authentication, making it particularly dangerous for internet-facing deployments.

The exploitation technique involves injecting SQL metacharacters and statements that alter the intended query behavior. Attackers may use techniques such as UNION-based injection to extract data from other tables, blind SQL injection to infer database contents, or stacked queries to execute additional SQL commands.

Detection Methods for CVE-2025-8273

Indicators of Compromise

  • Unusual or malformed HTTP requests to /admin/update_s8.php containing SQL keywords such as SELECT, UNION, DROP, INSERT, or comment sequences like -- and /*
  • Database logs showing unexpected queries or syntax errors originating from the web application
  • Anomalous data access patterns or unauthorized modifications to exam records
  • Web server access logs revealing repeated requests to the vulnerable endpoint with varying payloads

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns targeting the credits parameter
  • Implement intrusion detection system (IDS) signatures for SQL injection attack patterns in HTTP traffic
  • Enable detailed database query logging and monitor for anomalous query structures or errors
  • Configure application logging to capture all requests to administrative endpoints for forensic analysis

Monitoring Recommendations

  • Monitor HTTP request parameters for SQL injection indicators including single quotes, double dashes, semicolons, and SQL keywords
  • Set up alerts for database errors that may indicate injection attempts
  • Review access logs regularly for suspicious activity targeting /admin/update_s8.php
  • Implement rate limiting on administrative endpoints to slow down automated exploitation attempts

How to Mitigate CVE-2025-8273

Immediate Actions Required

  • Restrict network access to the administrative interface by implementing IP whitelisting or VPN requirements
  • Deploy a Web Application Firewall with SQL injection protection rules
  • If possible, disable or remove the vulnerable /admin/update_s8.php endpoint until a patch is available
  • Audit database accounts used by the application and apply principle of least privilege

Patch Information

No vendor patch information is currently available for this vulnerability. Organizations should monitor the Code Projects Security Hub and the GitHub CVE Issue Discussion for updates. Additional technical details can be found at VulDB #317862.

Workarounds

  • Implement input validation on the server-side to reject any input containing SQL metacharacters or keywords
  • Modify the application code to use parameterized queries (prepared statements) instead of string concatenation for database operations
  • Place the administrative interface behind a reverse proxy with SQL injection filtering capabilities
  • Consider migrating to an actively maintained exam management solution with better security practices
bash
# Example: Apache ModSecurity WAF rule to block SQL injection attempts
SecRule ARGS:credits "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection Attempt Detected in credits parameter',\
    log,\
    auditlog"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechCode Projects Exam Form Submission

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.06%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-74
  • Technical References
  • Code Projects Security Hub

  • GitHub CVE Issue Discussion

  • VulDB CTI ID #317862

  • VulDB #317862

  • VulDB Submission #622555
  • Related CVEs
  • CVE-2025-8237: Exam Form Submission SQL Injection Flaw

  • CVE-2025-8327: Exam Form Submission SQL Injection Flaw

  • CVE-2026-5106: Exam Form Submission XSS Vulnerability
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