Unauthenticated SQL Injection in AiOPMSD Application

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 country parameter. Attackers can send GET requests to country.php with crafted SQL payloads in the country 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 country.php endpoint that requires no authentication to exploit. Attackers can craft malicious SQL payloads within GET request parameters to bypass input validation and execute arbitrary database queries. This vulnerability is particularly dangerous because it exposes sensitive information including usernames, database names, and version details to unauthenticated threat actors, potentially serving as reconnaissance for follow-on attacks. Any organization deploying this application version faces immediate risk of data exfiltration and unauthorized database access.

Casky's 301 mapped security skills leverage Claude AI with extended reasoning to detect the attack patterns associated with this vulnerability across two key MITRE ATT&CK techniques: TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would observe detection findings related to suspicious SQL syntax patterns in HTTP parameters, anomalous database query structures, and indicators of information gathering attempts against database metadata. The platform's skills would flag characteristic signatures of SQL injection payloads—such as union-based queries, time-based blind injection attempts, or comment manipulation—appearing in country parameter values. By correlating these patterns against MITRE's attack frameworks, practitioners gain visibility into both the exploitation attempt and the adversary's likely objectives, enabling faster incident response and remediation prioritization.

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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-2018-25416.

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-2018-25416

Casky has 301 skills that investigate the attack patterns behind CVE-2018-25416. Run one and get CVSS-scored findings in 3 minutes.

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