SQL Injection in Food Waste Management System Registration

A flaw has been found in kishor-23 food-waste-management-system 411989e3ecb82895e53dca7865f72145f03d7d93/b3a70b2c492dc9904de5be1ad9389bd79b87f82c. The impacted element is an unknown function of the file delivery/deliverysignup.php of the component Registration Page. This manipulation of the argument username/email/location causes sql injection. The attack can be initiated remotely. The exploit has been published and may 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

A critical SQL injection vulnerability has been discovered in the kishor-23 food-waste-management-system, specifically within the Registration Page component (delivery/deliverysignup.php). The flaw allows attackers to manipulate username, email, and location parameters to inject malicious SQL queries, enabling unauthorized database access and potential data exfiltration. With a CVSS score of 7.3 and the exploit already publicly disclosed, any organization deploying this open-source food waste management system faces immediate risk. The vulnerability's remote exploitability means attackers require only network access to the registration endpoint—no authentication necessary. Organizations using continuous delivery models may inadvertently pull vulnerable versions, making this a supply chain concern for the broader ecosystem.

Casky.ai's 323 mapped skills detect this attack pattern by correlating CWE-74 (Improper Neutralization of Special Elements) and CWE-89 (SQL Injection) with MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance). Claude's extended reasoning identifies characteristic SQL injection signatures in registration form submissions—such as OR conditions, union-based queries, and time-based blind injection attempts embedded in user input fields. Practitioners using Casky would observe alerts flagging anomalous SQL syntax within login/registration traffic, parameter tampering detection on the username/email/location fields, and database query pattern anomalies suggesting unauthorized data access attempts. The platform's skill correlation maps these indicators to initial access vectors, enabling security teams to prioritize patching and implement input validation controls before exploitation 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-2026-105232.

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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