SQL Injection Authentication Bypass in Gate Pass Management

Gate Pass Management System 2.1 contains an SQL injection vulnerability that allows unauthenticated attackers to bypass authentication by injecting SQL code through the login and password parameters. Attackers can submit crafted POST requests to login-exec.php with SQL injection payloads in form parameters to authenticate without valid credentials and gain access to the application.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched 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

Gate Pass Management System 2.1 is vulnerable to unauthenticated SQL injection through its login mechanism, allowing attackers to bypass authentication entirely. By injecting malicious SQL code into the login and password form parameters sent to login-exec.php, attackers can manipulate database queries to authenticate without valid credentials. This vulnerability carries a CVSS score of 8.2 (high severity) and affects any organization deploying this system, particularly those managing physical or logical access control where Gate Pass is implemented. The attack requires no prior authentication or special privileges, making it trivial to exploit and potentially exposing sensitive access control data, user information, and downstream systems accessible post-login.

Casky's 301 mapped skills leverage Claude AI's extended reasoning to detect the attack patterns underlying this vulnerability, specifically targeting MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners would observe detections for SQL injection payloads in HTTP POST requests to login-exec.php, including classic markers like single quotes, UNION-based queries, boolean-based blind injection attempts, and time-based detection patterns. The skills identify suspicious authentication patterns—successful logins from previously unseen sources with malformed credentials, rapid authentication attempts with varying SQL syntax, and database error messages leaking schema information. By mapping these indicators to the reconnaissance and initial access phases, security teams gain visibility into both active exploitation attempts and the reconnaissance activities attackers perform before launching injection attacks, enabling early intervention before credentials are compromised.

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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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301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2018-25424.

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threat intelligence · low

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threat intelligence · low

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threat intelligence · low

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MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2018-25424

Casky has 301 skills that investigate the attack patterns behind CVE-2018-25424. Run one and get CVSS-scored findings in 3 minutes.

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