SQL Injection in Web Simulator Enables Unauthenticated Data Extraction

MOGG web simulator Script contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL commands by injecting malicious code through the id parameter. Attackers can send GET requests to play.php with crafted SQL payloads in the id parameter to extract sensitive database information including usernames and other data.

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

CVE-2018-25422 represents a critical SQL injection vulnerability in the MOGG web simulator's play.php endpoint, where the id parameter fails to properly sanitize user input before executing database queries. This vulnerability (CWE-89) allows unauthenticated attackers to craft malicious SQL payloads and execute arbitrary commands against the backend database. The impact is severe—attackers can extract sensitive information including usernames, credentials, and other confidential data without authentication. Any organization deploying this simulator, particularly in educational or training environments, faces immediate risk of data compromise and potential lateral movement within their infrastructure.

Casky's 301 mapped security skills leverage Claude AI with extended reasoning to detect the attack patterns underlying this vulnerability across the MITRE ATT&CK framework. The platform identifies techniques under TA0001 (Reconnaissance) where attackers probe the play.php endpoint to discover SQL injection weaknesses, and TA0043 (Exfiltration) where malicious SQL queries extract database contents. Practitioners using Casky would observe findings highlighting suspicious GET requests containing SQL syntax in the id parameter, anomalous database query patterns, and attempts to enumerate database structure through UNION-based or time-based blind SQL injection. The extended reasoning capability helps practitioners understand not just that an injection occurred, but the attacker's progression from reconnaissance through data exfiltration, enabling faster incident response and more effective defensive controls.

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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 →

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-2018-25422.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

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analyzing-campaign-attribution-evidence

threat intelligence · low

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analyzing-certificate-transparency-for-phishing

threat intelligence · low

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MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2018-25422

Casky has 301 skills that investigate the attack patterns behind CVE-2018-25422. Run one and get CVSS-scored findings in 3 minutes.

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