SQL Injection in Faculty Clearance System Delete Function

A vulnerability has been found in SourceCodester Online Faculty Clearance System 1.0. The impacted element is an unknown function of the file /delete_faculty1.php. Such manipulation of the argument ID leads to sql injection. The attack can be executed remotely. The exploit has been disclosed to the public and may be used.

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-2026-91004 is a remote SQL injection vulnerability in SourceCodester Online Faculty Clearance System 1.0, specifically within the /delete_faculty1.php endpoint's ID parameter. With a CVSS score of 7.3, this high-severity flaw allows unauthenticated attackers to manipulate database queries by injecting malicious SQL code through an unvalidated input field. Educational institutions and organizations relying on this clearance system are at immediate risk of unauthorized data access, modification, or deletion of faculty records—critical information that could compromise institutional operations, employee privacy, and compliance with educational data protection regulations. The public disclosure of this exploit significantly elevates the threat level, as malicious actors now have readily available weaponized code.

Casky's 323 mapped security skills enable practitioners to detect this attack pattern across the MITRE ATT&CK framework, specifically under Initial Access (TA0001) and Resource Development (TA0043) techniques. Using Claude AI's extended reasoning capabilities, Casky identifies the hallmarks of SQL injection attempts: unsanitized parameter manipulation in web forms, abnormal SQL syntax patterns in request logs, and database query anomalies. Practitioners using Casky would observe findings highlighting improper input validation on the ID parameter, detection of SQL metacharacters ('--', 'UNION', 'OR 1=1'), and suspicious database activity correlating with web requests to the vulnerable endpoint. The platform's skill-based analysis connects these indicators to CWE-74 (Improper Neutralization of Special Elements) and CWE-89 (SQL Injection), providing defenders with actionable intelligence to prioritize patching, implement Web Application Firewalls (WAFs), and conduct database access audits.

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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-2026-91004.

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-2026-91004

Casky has 323 skills that investigate the attack patterns behind CVE-2026-91004. Run one and get CVSS-scored findings in 3 minutes.

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