Khalil Shreateh specializes in cybersecurity, particularly as a "white hat" hacker. He focuses on identifying and reporting security vulnerabilities in software and online platforms, with notable expertise in web application security. His most prominent work includes discovering a critical flaw in Facebook's system in 2013. Additionally, he develops free social media tools and browser extensions, contributing to digital security and user accessibility.

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# CVE-2025-63943 ? SQL Injection in Grocery Store Management System # CVE-2025-63943 ? SQL Injection in Grocery Store Management System 1.0

## Overview
A high-severity **SQL Injection** vulnerability was identified in the `search_products.php` component of **Grocery Store Management System 1.0**, a PHP/MySQL-based web application created by *anirudhkannan*.
The issue arises from improper input validation and unsafe construction of SQL queries using the user-controlled `scost` parameter. This flaw enables attackers to manipulate the underlying SQL logic, potentially leading to sensitive data exposure, data alteration, or full compromise of the database.

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## Affected Product
- **Name:** Grocery Store Management System
- **Vendor:** anirudhkannan
- **Version:** 1.0
- **Repository:**
https://github.com/anirudhkannanvp/GROCERY-STORE-MANAGEMENT-SYSTEM-USING-PHP-AND-MYSQL-PHPMYADMIN-/tree/master
- **Affected File:**
`Grocery/search_products.php`

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## Vulnerability Description
The vulnerability exists due to the **direct concatenation of unvalidated user input** into SQL queries.
The `scost` POST parameter, intended to represent a numeric product cost value, is embedded into the SQL WHERE clause without:

- Input sanitization
- Type enforcement
- Parameterized queries
- Prepared statement usage

This allows an attacker to inject **arbitrary SQL boolean expressions**, altering query behavior and extracting database contents using **boolean-based SQL Injection** techniques.

The vulnerability is exploitable through a standard POST request to `search_products.php`. When malicious expressions are supplied, the backend returns measurable response differences (TRUE/FALSE variations), confirming that user input influences SQL logic.

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## Root Cause
- Lack of server-side validation on the `scost` input field
- Direct use of string concatenation for building SQL queries
- Absence of prepared statements in the affected code path
- No filtering or whitelisting for numeric input fields

These conditions collectively enable attackers to modify the intended SQL logic.

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## Severity & Impact
This vulnerability is rated **High** due to its low attack complexity, lack of authentication requirements, and full read/write database impact.

### Potential Impacts Include:
- **Sensitive data exposure:** Attackers may extract product, user, or system data.
- **Data modification or deletion:** Injected SQL can alter or remove database entries.
- **Authentication bypass (possible):** If used in other parts of the application?s query logic.
- **Full database compromise:** Depending on DB privileges and configuration.
- **System instability:** Malicious queries could disrupt normal application behavior.

---

## CVSS v3.1 Score (Preliminary Assessment)
**CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H**

- **Attack Vector (AV):** Network
- **Attack Complexity (AC):** Low
- **Privileges Required (PR):** None
- **User Interaction (UI):** None
- **Scope (S):** Unchanged
- **Confidentiality (C):** High
- **Integrity (I):** High
- **Availability (A):** High

**Estimated Severity: High (9.8)**

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## Exploitation Summary
The vulnerability can be exploited through crafted values passed to the `scost` parameter.
Attackers can:

- Influence boolean logic
- Trigger conditional responses
- Enumerate database structures
- Extract sensitive information

*(Detailed payloads are intentionally omitted to prevent misuse.)*

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## Mitigation & Recommendations

### For Developers / Vendors
To remediate the vulnerability:

1. **Implement prepared statements / parameterized queries**
2. **Enforce strict input validation** ? ensure `scost` accepts only numeric values
3. **Reject suspicious characters** ? filter operators, quotes, comments, and expression symbols
4. **Apply least-privilege database permissions**
5. **Audit the codebase** for similar patterns elsewhere in the application

### For Users
Until a patch is available:

- Restrict public access to the application
- Use a firewall or WAF to block malicious requests
- Monitor logs for unusual SQL-related behavior
-
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## References
- OWASP SQL Injection: https://owasp.org/www-community/attacks/SQL_Injection
- CWE-89 ? Improper Neutralization of Special Elements in SQL Commands

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