SQL Injection in Drug Recommendation System Admin Panel

A weakness has been identified in SourceCodester Drug Recommendation System 1.0. Affected by this issue is some unknown functionality of the file /Admin/edit_symptom.php. This manipulation of the argument ID causes sql injection. The attack is possible to be carried out remotely. The exploit has been made available to the public and could be used for attacks.

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

CVE-2026-93997 represents a critical SQL injection vulnerability in SourceCodester Drug Recommendation System 1.0, specifically within the /Admin/edit_symptom.php file's ID parameter. SQL injection vulnerabilities allow attackers to manipulate database queries by injecting malicious SQL code, potentially leading to unauthorized data access, modification, or deletion. This vulnerability is particularly concerning because it affects an administrative interface—a high-value target for attackers seeking to compromise sensitive medical data, patient records, or system integrity. Organizations deploying this application in healthcare or medical recommendation contexts face significant risk, as exploitation could expose protected health information (PHI) and violate compliance requirements like HIPAA. The public availability of exploit code further elevates the threat level.

Casky's 323 mapped security skills enable practitioners to detect this attack pattern through analysis of MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). The platform's Claude AI-powered reasoning identifies SQL injection indicators by correlating CWE-74 (Improper Neutralization of Special Elements) and CWE-89 (SQL Injection) signatures. Practitioners using Casky would observe findings that flag suspicious database query patterns, parameter tampering attempts, and unusual SQL syntax in request logs—particularly those targeting admin endpoints with manipulated ID arguments. Extended reasoning capabilities allow the system to contextualize these findings within the broader attack chain, helping teams understand how reconnaissance techniques lead to initial compromise through parameter injection, enabling faster incident response and remediation prioritization.

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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-2026-93997.

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

Investigate the attack patterns behind CVE-2026-93997

Casky has 323 skills that investigate the attack patterns behind CVE-2026-93997. Run one and get CVSS-scored findings in 3 minutes.

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