SQL Injection in Employee Recruitment System Registration

A vulnerability was detected in krupalshah EmployeeRecruitmentSystem up to 922ff6d208278282e7c8e36d70d9ae356adec9fe. Affected by this vulnerability is the function mysql_query of the file /source/registerform1.php of the component Registration. Performing a manipulation of the argument firstname/middlename/lastname/gender/birthdate/state/statespecify/city/cityspecify results in sql injection. It is possible to initiate the attack remotely. The exploit is now public and may be used. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The vendor was contacted early about this disclosure but did not respond in any way. This vulnerability only affects products that are no longer supported by the maintainer.

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

This vulnerability represents a critical input validation failure in the krupalshah EmployeeRecruitmentSystem, where user-supplied data in registration form fields (firstname, middlename, lastname, gender, birthdate, state, city, and related parameters) is passed directly to SQL queries without sanitization. With a CVSS score of 7.3, this high-severity flaw enables remote attackers to manipulate database queries, potentially leading to unauthorized data access, modification, or deletion of sensitive employee and recruitment records. Organizations using this system—particularly HR departments, recruitment firms, and enterprise staffing operations—face exposure of personally identifiable information (PII), authentication bypass, and complete database compromise. The public availability of this exploit increases the attack surface significantly for unpatched instances.

Casky's 323 mapped skills leverage Claude's extended reasoning to detect the attack patterns associated with TA0001 (Initial Access) and TA0043 (Reconnaissance) techniques underlying this SQL injection. Practitioners using Casky would observe detection signatures identifying: malformed SQL syntax in registration form submissions, unusual parameter encoding patterns (SQL keywords, quote manipulation, comment sequences), database error messages leaking schema information, and anomalous query execution times indicating injected logic. Claude's reasoning engine correlates these indicators across CWE-74 (Improper Neutralization of Special Elements) and CWE-89 (SQL Injection) patterns, surfacing specific payload signatures and contextualizing how initial reconnaissance probes evolve into exploitation attempts. Security teams gain visibility into the attack kill chain—from reconnaissance of input fields through successful injection—enabling rapid threat hunting 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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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-2026-116048.

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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