Unauthenticated SQL Injection in AiOPMSD Director Parameter

AiOPMSD Final 1.0.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the director parameter. Attackers can send GET requests to director.php with crafted SQL payloads in the director parameter to extract sensitive database information including usernames, database names, and version details.

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

AiOPMSD Final 1.0.0 contains a critical unauthenticated SQL injection vulnerability (CWE-89) in the director.php endpoint that allows attackers to execute arbitrary SQL queries without authentication. By crafting malicious SQL payloads in the director GET parameter, threat actors can extract sensitive database information including usernames, database names, and version details. This vulnerability is particularly dangerous because it requires no credentials and no user interaction—a simple HTTP request can compromise an entire database. Organizations running AiOPMSD 1.0.0 face immediate risk of data exposure and potential lateral movement within their infrastructure.

Casky's 301 matched security skills use Claude's extended reasoning to detect the reconnaissance and initial access patterns underlying this attack. Practitioners monitoring with Casky would identify TA0001 (Reconnaissance) signals through anomalous SQL syntax patterns in HTTP parameters and unusual database query structures, combined with TA0043 (Reconnaissance) indicators showing attackers probing for database schema information. When analyzing director.php requests, Casky's Claude-powered detection would flag GET requests containing SQL keywords (UNION, SELECT, WHERE), comment sequences (-- , /**/), and string concatenation patterns—the telltale signatures of SQL injection attempts. Practitioners would see findings correlating suspicious parameter values with database error messages, version disclosures, and information schema queries, enabling them to identify exploitation attempts before sensitive data exfiltration occurs.

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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-2018-25415.

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-2018-25415

Casky has 301 skills that investigate the attack patterns behind CVE-2018-25415. Run one and get CVSS-scored findings in 3 minutes.

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