SQL Injection in Restaurant Management System Password Reset

A vulnerability was found in AdithyaYelloju Restaurant-Management-System up to 7f0e7e84255e8fcfd488e83f8f91451bbbff6b9c. This issue affects some unknown processing of the file User/forgot3.php of the component Password Reset. Performing a manipulation of the argument email/password results in sql injection. The attack can be initiated remotely. The exploit has been made public and could be used. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available. The project was informed of the problem early through an issue report but has not responded yet.

Casky was already ahead

This CVE exploits attack patterns that Casky's 323matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

This vulnerability is a critical SQL injection flaw in the AdithyaYelloju Restaurant-Management-System's password reset functionality (User/forgot3.php). An attacker can manipulate the email or password parameters to inject malicious SQL commands, potentially leading to unauthorized database access, credential theft, or data exfiltration. The flaw affects any organization deploying this open-source restaurant management system, with particular risk to small-to-medium hospitality businesses that may lack robust security monitoring. The public exploit availability and remote attack vector significantly elevate the threat level, making this a high-priority patch target despite the lack of active CISA KEV listing.

Casky's 323 mapped security skills enable practitioners to detect this attack pattern through Claude's extended reasoning across MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance via Web Services). When analyzing network traffic and application logs, practitioners using Casky would identify suspicious SQL syntax patterns in password reset requests—such as SQL keywords (SELECT, UNION, OR, --) embedded in email/password fields. The platform's skill-based detection would flag anomalous database query structures, failed authentication attempts with SQL fragments, and unusual error messages revealing database schema information. Practitioners would see findings correlating web parameter manipulation with backend SQL execution attempts, allowing them to distinguish legitimate password reset operations from injection attacks and respond before credential compromise occurs.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

323 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-109115.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

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