Unauthenticated SQL Injection in AiOPMSD Year 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 year parameter. Attackers can send GET requests to year.php with crafted SQL payloads in the year 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 SQL injection vulnerability (CWE-89) in the year.php endpoint that allows unauthenticated attackers to execute arbitrary SQL queries. By crafting malicious payloads in the year GET parameter, adversaries can bypass authentication entirely and extract sensitive database information including usernames, database names, and version details. This vulnerability is particularly dangerous because it requires no prior access or authentication—any attacker with network access can exploit it. Organizations running AiOPMSD 1.0.0 are immediately at risk of data exfiltration and potential lateral movement within their infrastructure.

Casky.ai's 301 matching security skills leverage Claude AI's extended reasoning to detect the reconnaissance (TA0001) and discovery (TA0043) patterns typical of SQL injection exploitation. Practitioners using Casky would identify attack chains where suspicious SQL syntax appears in web logs—such as UNION-based queries, time-based blind injection markers, or database enumeration commands in year parameter values. The platform's skills would flag anomalous GET requests to year.php containing metacharacters like single quotes, semicolons, and SQL keywords, correlating them against known injection payloads. By mapping observations to MITRE ATT&CK, practitioners gain visibility into the adversary's journey from initial reconnaissance through sensitive data discovery, enabling rapid threat hunting and response before databases 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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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-2018-25418.

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-2018-25418

Casky has 301 skills that investigate the attack patterns behind CVE-2018-25418. Run one and get CVSS-scored findings in 3 minutes.

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