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CVE Vulnerability Database
Vulnerability Database/CVE-2025-5578

CVE-2025-5578: Dairy Farm Shop Management System SQLi Flaw

CVE-2025-5578 is a critical SQL injection vulnerability in PHPGurukul Dairy Farm Shop Management System 1.3 affecting the sales-report-details.php file. This article covers technical details, affected versions, and mitigation.

Published: March 25, 2026

CVE-2025-5578 Overview

A SQL injection vulnerability has been identified in PHPGurukul Dairy Farm Shop Management System version 1.3. This vulnerability exists in the /sales-report-details.php file and can be exploited through manipulation of the fromdate and todate parameters. The flaw allows remote attackers to inject malicious SQL queries, potentially compromising the underlying database and sensitive business data.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to extract, modify, or delete sensitive data from the database without authentication, potentially compromising customer records, financial transactions, and business-critical information.

Affected Products

  • PHPGurukul Dairy Farm Shop Management System version 1.3
  • Earlier versions may also be affected

Discovery Timeline

  • June 4, 2025 - CVE-2025-5578 published to NVD
  • June 4, 2025 - Last updated in NVD database

Technical Details for CVE-2025-5578

Vulnerability Analysis

This vulnerability represents a classic SQL injection flaw (CWE-89) stemming from improper neutralization of special elements used in SQL commands. The affected endpoint /sales-report-details.php accepts date range parameters (fromdate and todate) that are directly incorporated into database queries without proper sanitization or parameterization. This allows attackers to craft malicious input that breaks out of the intended query structure and executes arbitrary SQL commands.

The vulnerability is remotely exploitable without requiring authentication, making it particularly dangerous for internet-facing deployments. Successful exploitation could allow attackers to enumerate database contents, extract sensitive customer and financial information, modify or delete records, and potentially escalate to broader system compromise depending on database configuration and privileges.

Root Cause

The root cause is improper input validation and failure to use parameterized queries or prepared statements when processing user-supplied date parameters. The application directly concatenates user input into SQL query strings, allowing special characters and SQL syntax to be interpreted as part of the query rather than as data values. This represents a fundamental secure coding violation related to CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component).

Attack Vector

The attack can be launched remotely over the network without requiring any authentication or user interaction. An attacker can submit crafted HTTP requests to the /sales-report-details.php endpoint with malicious SQL payloads in the fromdate or todate parameters. The vulnerability has been publicly disclosed, and technical details are available through the GitHub CVE Issue Discussion.

The attack methodology involves injecting SQL metacharacters and commands through the date input fields. Since these fields likely expect date strings, attackers can terminate the expected string and append additional SQL commands to extract data, bypass authentication logic, or manipulate database contents.

Detection Methods for CVE-2025-5578

Indicators of Compromise

  • Unusual SQL error messages appearing in web application logs or responses
  • Anomalous database queries containing SQL injection patterns such as UNION SELECT, OR 1=1, or comment sequences (--, /**/)
  • Unexpected access patterns to /sales-report-details.php with malformed date parameters
  • Database audit logs showing unauthorized data access or extraction attempts

Detection Strategies

  • Deploy web application firewall (WAF) rules to detect and block SQL injection patterns in request parameters
  • Implement application-level logging that captures all input to the vulnerable endpoint for forensic analysis
  • Monitor database query logs for anomalous patterns including multiple failed queries, UNION-based attacks, or time-based blind injection attempts
  • Configure intrusion detection systems (IDS) with signatures for SQL injection attack patterns targeting date parameters

Monitoring Recommendations

  • Enable verbose logging on the web server for all requests to PHP endpoints processing user input
  • Implement real-time alerting for SQL error conditions that may indicate active exploitation attempts
  • Monitor network traffic for large data exfiltration patterns that could indicate successful SQL injection attacks
  • Review database access patterns for unusual query volumes or off-hours activity targeting affected tables

How to Mitigate CVE-2025-5578

Immediate Actions Required

  • Restrict access to /sales-report-details.php to trusted IP addresses or authenticated internal users only
  • Deploy web application firewall rules to filter SQL injection payloads in the fromdate and todate parameters
  • Consider temporarily disabling the affected sales report functionality until a patch is available
  • Audit database logs for evidence of prior exploitation attempts

Patch Information

No official patch has been released by PHPGurukul at the time of this publication. Organizations should monitor the PHP Gurukul Security Resources for security updates. Additional technical details and community discussion are available through VulDB #311035.

Workarounds

  • Implement input validation at the application level to ensure fromdate and todate parameters conform to expected date formats before processing
  • Modify the affected PHP code to use prepared statements with parameterized queries instead of string concatenation
  • Deploy a reverse proxy or WAF with SQL injection protection enabled for the affected endpoint
  • Restrict database user privileges to limit the impact of successful SQL injection attacks
bash
# Example WAF rule for ModSecurity to block SQL injection in date parameters
SecRule ARGS:fromdate|ARGS:todate "@detectSQLi" \
    "id:100001,phase:2,deny,status:403,log,msg:'SQL Injection Attempt Blocked in Date Parameter'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechPhpgurukul Dairy Farm Shop Management System

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.10%

  • 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:X/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

  • CWE-89
  • Technical References
  • GitHub CVE Issue Discussion

  • PHP Gurukul Security Resources

  • VulDB CTI ID #311035

  • VulDB #311035

  • VulDB Submission #588800
  • Related CVEs
  • CVE-2025-5574: Dairy Farm Shop Management System SQLi Flaw

  • CVE-2025-5575: Dairy Farm Shop Management System SQLi

  • CVE-2025-5576: Dairy Farm Shop Management System SQLi

  • CVE-2025-5579: Dairy Farm Shop Management SQL Injection
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