Authorization Bypass in Restaurant Management System Order Processing

A vulnerability was determined in AdithyaYelloju Restaurant-Management-System up to 7f0e7e84255e8fcfd488e83f8f91451bbbff6b9c. Impacted is the function mysqli_query of the component Order Management. Executing a manipulation of the argument ID can lead to authorization bypass. The attack can be launched remotely. The exploit has been publicly disclosed and may be utilized. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. 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 283matched 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

CVE-2026-109116 is a critical authorization bypass vulnerability in the AdithyaYelloju Restaurant-Management-System that allows remote attackers to manipulate the ID parameter in the Order Management component's mysqli_query function. By exploiting weak access controls (CWE-285) and insecure direct object references (CWE-639), an unauthenticated attacker can bypass authentication and authorization checks to access or modify orders they shouldn't have permission to view or alter. This vulnerability affects any deployment of this open-source restaurant management system, with particular risk to small and medium-sized restaurants relying on this software for order handling and customer data management. The public disclosure and availability of exploit code elevates the practical threat level significantly.

Casky.ai's 283 mapped security skills detect the attack patterns associated with this vulnerability by correlating evidence across MITRE ATT&CK techniques TA0004 (Privilege Escalation) and TA0006 (Credential Access). Practitioners using Casky would observe skill matches indicating suspicious patterns such as direct object reference manipulation attempts, authorization decision bypasses in application logs, and parameter tampering in HTTP requests targeting the Order Management endpoints. Claude's extended reasoning capability enables detection of logical authorization flaws—recognizing when an attacker systematically changes ID parameters to access unauthorized orders—rather than just flagging anomalous traffic. The platform would surface findings showing how authorization checks were circumvented at the application layer, helping security teams understand whether their defenses properly validate user permissions before processing database queries.

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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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283 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-109116.

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

Access with Stolen Session Cookie

identity access management · low

Run

MITRE ATT&CK Techniques

TA0004 TA0006

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