Unauthenticated SQL Injection in AiOPMSD Quality 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 quality parameter. Attackers can send GET requests to quality.php with crafted SQL payloads in the quality 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 quality.php endpoint that allows unauthenticated attackers to execute arbitrary SQL queries. By crafting malicious payloads in the quality parameter and sending GET requests, attackers 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 credentials, no user interaction, and can be exploited remotely—making it a high-impact attack vector (CVSS 8.2) for organizations running this software.

Casky's 301 mapped skills help practitioners detect the reconnaissance and execution patterns behind this vulnerability by leveraging Claude AI's extended reasoning across TA0001 (Reconnaissance) and TA0043 (Reconnaissance) techniques. Practitioners using Casky would identify suspicious patterns such as unusual GET requests to quality.php with SQL syntax in parameters, database enumeration attempts, and information gathering activities that precede data exfiltration. The platform's skill mapping enables detection of both the initial probing phase—where attackers test for SQL injection—and the exploitation phase where they extract schema and credential information. This multi-stage detection approach helps security teams catch attackers earlier in the attack chain, before sensitive data is 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-2018-25417.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

Run

analyzing-campaign-attribution-evidence

threat intelligence · low

Run

analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2018-25417

Casky has 301 skills that investigate the attack patterns behind CVE-2018-25417. Run one and get CVSS-scored findings in 3 minutes.

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