Improper Authentication in Restaurant Management Login Form

A vulnerability has been found in AdithyaYelloju Restaurant-Management-System up to 7f0e7e84255e8fcfd488e83f8f91451bbbff6b9c. This vulnerability affects unknown code of the file User/login.php of the component Login Form. Such manipulation of the argument email/passwd leads to improper authentication. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not 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 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-2026-109114 represents a critical authentication bypass vulnerability in the AdithyaYelloju Restaurant-Management-System login component. By manipulating email and password parameters in the User/login.php file, attackers can circumvent authentication controls entirely, gaining unauthorized access to restaurant management systems without valid credentials. This vulnerability affects any deployment running the affected version and poses immediate risk to restaurant operators, staff, and customer data. With a CVSS score of 7.3 and public exploit disclosure, this represents an active threat to small and mid-sized restaurant operations that may not have robust security monitoring in place.

Casky.ai's 283 mapped security skills leverage Claude's extended reasoning to detect the attack patterns associated with this vulnerability across MITRE ATT&CK's Initial Access (TA0004) and Credential Access (TA0006) tactics. Practitioners would observe findings correlating CWE-287 (Improper Authentication) violations with suspicious login attempts showing: malformed or manipulated email/password parameters in HTTP requests, repeated failed authentication followed by successful access without credential validation, and unusual login patterns from non-standard clients. The platform's skill correlation would flag HTTP POST requests to login.php with parameter tampering signatures, abnormal session establishment without proper authentication state verification, and access to administrative functions immediately following suspicious login activity—enabling practitioners to identify and respond to exploitation attempts in real-time.

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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 →

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-2026-109114.

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

Investigate the attack patterns behind CVE-2026-109114

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