CVE-2025-7533: Anisha Job Diary SQLi Vulnerability

CVE-2025-7533 Overview

A critical SQL injection vulnerability has been discovered in code-projects Job Diary version 1.0. The vulnerability exists in the /view-details.php file, where improper handling of the job_id parameter allows attackers to inject malicious SQL statements. This flaw enables remote attackers to manipulate database queries, potentially leading to unauthorized data access, data modification, or complete database compromise.

Critical Impact
Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database contents, or potentially gain further access to the underlying system through the vulnerable Job Diary application.

Affected Products

Anisha Job Diary 1.0
code-projects Job Diary 1.0

Discovery Timeline

July 13, 2025 - CVE-2025-7533 published to NVD
July 16, 2025 - Last updated in NVD database

Technical Details for CVE-2025-7533

Vulnerability Analysis

This SQL injection vulnerability in Job Diary 1.0 stems from inadequate input validation in the /view-details.php file. When users interact with this page, the job_id parameter is passed directly to database queries without proper sanitization or parameterization. This allows attackers to craft malicious input that alters the intended SQL query structure.

The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), which encompasses injection flaws where user-controlled input is improperly incorporated into commands or queries. The exploit has been publicly disclosed, increasing the risk of active exploitation in the wild.

Root Cause

The root cause of this vulnerability is the failure to properly sanitize and validate user-supplied input before incorporating it into SQL queries. The job_id parameter in /view-details.php is directly concatenated or interpolated into database queries without using prepared statements or parameterized queries. This architectural flaw allows special SQL characters and commands to be interpreted as part of the query logic rather than as literal data values.

Attack Vector

The attack can be initiated remotely over the network without requiring authentication or user interaction. An attacker can exploit this vulnerability by:

Accessing the /view-details.php endpoint
Manipulating the job_id parameter with crafted SQL injection payloads
Extracting sensitive information from the database using UNION-based or error-based injection techniques
Potentially modifying or deleting database records
In severe cases, leveraging database functionality to execute system commands

The vulnerability allows for various SQL injection techniques including UNION-based injection for data extraction, blind SQL injection for database enumeration, and time-based injection attacks. Additional technical details can be found in the GitHub CVE Issue #2 and VulDB #316229.

Detection Methods for CVE-2025-7533

Indicators of Compromise

Unusual or malformed requests to /view-details.php containing SQL syntax characters such as single quotes, double dashes, or UNION statements
Database error messages in application logs indicating syntax errors or unexpected query behavior
Unexpected database queries in slow query logs or database audit logs
Anomalous data access patterns or bulk data extraction from job-related tables

Detection Strategies

Implement Web Application Firewall (WAF) rules to detect common SQL injection patterns in the job_id parameter
Monitor application logs for requests to /view-details.php with suspicious parameter values containing SQL keywords
Deploy database activity monitoring to detect unusual query patterns or unauthorized data access
Use intrusion detection systems (IDS) with signatures for SQL injection attack patterns

Monitoring Recommendations

Enable detailed logging for the /view-details.php endpoint and monitor for injection attempts
Configure database audit logging to track all queries executed against job-related tables
Set up alerting for database errors that may indicate exploitation attempts
Monitor network traffic for large data exfiltration that could indicate successful database compromise

How to Mitigate CVE-2025-7533

Immediate Actions Required

Restrict access to the Job Diary application until patches or workarounds are implemented
Implement input validation and sanitization for the job_id parameter at the application level
Deploy a Web Application Firewall (WAF) with rules to block SQL injection attacks targeting /view-details.php
Review database logs for evidence of prior exploitation and assess potential data exposure

Patch Information

As of the last NVD update on July 16, 2025, no official patch has been released by the vendor. Organizations using Job Diary 1.0 should monitor the Code Projects website for security updates. Given that this is a code-projects educational project, users may need to implement manual code fixes or consider alternative solutions.

For technical details and community discussion, refer to the GitHub CVE Issue #2 and VulDB submission #613045.

Workarounds

Implement prepared statements with parameterized queries in /view-details.php to properly handle the job_id parameter
Add server-side input validation to ensure job_id contains only expected numeric values
Deploy a reverse proxy or WAF to filter malicious requests before they reach the application
Restrict database user privileges to limit the potential impact of successful SQL injection attacks
Consider disabling or removing the vulnerable endpoint if the functionality is not critical

bash

# Configuration example - Apache mod_security rule to block SQL injection attempts
SecRule ARGS:job_id "@rx (?i)(union|select|insert|update|delete|drop|--|\\'|\\\")" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'Potential SQL Injection attempt detected in job_id parameter',\
    logdata:'Matched Data: %{MATCHED_VAR} found within %{MATCHED_VAR_NAME}'"