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CVE Vulnerability Database
Vulnerability Database/CVE-2025-8921

CVE-2025-8921: Anisha Job Diary SQL Injection Vulnerability

CVE-2025-8921 is a SQL injection flaw in Anisha Job Diary 1.0 affecting the /user-apply.php file. Attackers can remotely exploit the job_title parameter. This article covers technical details, impact, and mitigation.

Published: March 18, 2026

CVE-2025-8921 Overview

A SQL Injection vulnerability has been identified in code-projects Job Diary version 1.0. This vulnerability exists in the /user-apply.php file, where insufficient input validation allows an attacker to manipulate the job_title argument to inject malicious SQL queries. The attack can be launched remotely, and exploit details have been publicly disclosed, increasing the risk of active exploitation.

Critical Impact

Remote attackers can exploit this SQL Injection vulnerability to manipulate database queries, potentially leading to unauthorized data access, data modification, or complete database compromise.

Affected Products

  • Anisha Job Diary 1.0
  • code-projects Job Diary /user-apply.php endpoint

Discovery Timeline

  • 2025-08-13 - CVE CVE-2025-8921 published to NVD
  • 2025-08-14 - Last updated in NVD database

Technical Details for CVE-2025-8921

Vulnerability Analysis

This SQL Injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) affects the Job Diary web application developed by code-projects. The vulnerable endpoint /user-apply.php accepts user-supplied input through the job_title parameter without proper sanitization or parameterized queries.

When a user submits data through the job application functionality, the job_title parameter value is directly concatenated into SQL queries executed against the backend database. This allows an attacker to break out of the intended query structure and inject arbitrary SQL commands.

The network-accessible nature of this vulnerability means any unauthenticated remote attacker can potentially exploit it without requiring any special privileges or user interaction. Successful exploitation could result in unauthorized access to sensitive data stored in the database, modification or deletion of records, and in some configurations, potential execution of operating system commands.

Root Cause

The root cause of this vulnerability is the failure to properly sanitize or parameterize user input before incorporating it into SQL queries. The application directly uses the job_title parameter value in database operations without implementing prepared statements, parameterized queries, or adequate input validation. This classic SQL Injection pattern allows attackers to inject SQL metacharacters that alter the intended query logic.

Attack Vector

This vulnerability can be exploited remotely over the network. An attacker crafts a malicious HTTP request to the /user-apply.php endpoint, injecting SQL syntax into the job_title parameter. Since no authentication is required and user interaction is not necessary, the attack can be fully automated.

Typical exploitation techniques include:

  • Union-based injection to extract data from other database tables
  • Boolean-based blind injection to infer database contents character by character
  • Time-based blind injection using database-specific delay functions
  • Stacked queries (database-dependent) to execute additional SQL statements

For detailed technical information about this vulnerability, refer to the GitHub CVE Issue #1 and VulDB #319880.

Detection Methods for CVE-2025-8921

Indicators of Compromise

  • Unusual or malformed HTTP requests to /user-apply.php containing SQL metacharacters (quotes, semicolons, UNION keywords)
  • Database error messages appearing in application logs or HTTP responses
  • Unexpected database queries or query execution patterns in database audit logs
  • Evidence of data exfiltration or unauthorized database access

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block SQL Injection attempts targeting the job_title parameter
  • Monitor web server access logs for requests to /user-apply.php containing suspicious patterns such as ', ", --, UNION, SELECT, or encoded equivalents
  • Enable database query logging and monitor for anomalous query patterns or syntax errors
  • Implement intrusion detection rules for common SQL Injection payloads in HTTP traffic

Monitoring Recommendations

  • Configure real-time alerting for blocked WAF events related to SQL Injection signatures
  • Establish baseline behavior for database query patterns and alert on deviations
  • Review application and database logs regularly for evidence of exploitation attempts
  • Monitor for unusual outbound data transfers that could indicate successful data exfiltration

How to Mitigate CVE-2025-8921

Immediate Actions Required

  • Remove or disable the affected Job Diary application if it is not business-critical
  • Implement Web Application Firewall (WAF) rules to block SQL Injection attempts targeting /user-apply.php
  • Restrict network access to the application to trusted IP addresses only
  • Review database access logs for signs of prior exploitation and assess potential data exposure

Patch Information

No official vendor patch has been identified at this time. The code-projects Job Diary application appears to be a demonstration or educational project without active vendor support. Organizations using this software should consider replacing it with a more secure, actively maintained alternative.

For additional technical details and community discussions, refer to:

  • GitHub CVE Issue #1
  • VulDB #319880
  • Code Projects Resource

Workarounds

  • Implement input validation on the job_title parameter to reject SQL metacharacters and enforce expected data formats
  • Modify the application code to use prepared statements or parameterized queries for all database operations
  • Deploy a reverse proxy or WAF with SQL Injection protection enabled in front of the application
  • Apply database least-privilege principles to limit the impact of successful SQL Injection attacks
bash
# Example: Block SQL Injection patterns with ModSecurity WAF rules
# Add to ModSecurity configuration
SecRule ARGS:job_title "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt detected in job_title 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/TechAnisha Job Diary

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.03%

  • 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 Resource

  • GitHub CVE Issue #1

  • VulDB CTI ID #319880

  • VulDB #319880

  • VulDB Submission #631294
  • Related CVEs
  • CVE-2025-8922: Anisha Job Diary SQL Injection Vulnerability

  • CVE-2025-8923: Anisha Job Diary SQLi Vulnerability

  • CVE-2025-7533: Anisha Job Diary SQLi Vulnerability

  • CVE-2025-7474: Anisha Job Diary SQLi Vulnerability
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