Unauthenticated SQL Injection in Medical PACS Server

MedDream PACS Server Premium 6.7.1.1 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the email parameter. Attackers can submit crafted POST requests to the userSignup.php endpoint with SQL payloads in the email field to extract sensitive database information from the backend MySQL database.

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

MedDream PACS Server Premium 6.7.1.1 contains a critical SQL injection vulnerability (CWE-89) in its user registration endpoint that allows unauthenticated attackers to execute arbitrary database queries. By injecting malicious SQL code through the email parameter in POST requests to userSignup.php, attackers can bypass authentication entirely and extract sensitive patient data, medical records, and credentials from the backend MySQL database. This vulnerability is particularly severe because PACS (Picture Archiving and Communication System) servers store Protected Health Information (PHI) subject to HIPAA compliance requirements, making healthcare organizations, diagnostic centers, and radiology practices prime targets for data theft and potential regulatory violations.

Casky's 301 matching skills leverage Claude AI with extended reasoning to detect the adversarial patterns mapped to Initial Access (TA0001) and Persistence (TA0043) techniques underlying this vulnerability. Practitioners using Casky would observe findings flagging suspicious POST requests to user registration endpoints containing SQL metacharacters (single quotes, UNION operators, comment sequences) in email fields, combined with anomalous database query patterns indicating information exfiltration. The platform's skill mapping would correlate these indicators with CWE-89 input validation failures, highlighting the absence of parameterized queries and input sanitization. Security teams would receive actionable intelligence about unauthenticated access attempts combined with data exfiltration behaviors—the hallmark of both initial compromise and persistence in healthcare breach scenarios—enabling them to prioritize patch deployment and implement Web Application Firewall (WAF) rules to block malformed registration requests before attackers establish a foothold.

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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-2018-25372.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

Run

analyzing-campaign-attribution-evidence

threat intelligence · low

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analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2018-25372

Casky has 301 skills that investigate the attack patterns behind CVE-2018-25372. Run one and get CVSS-scored findings in 3 minutes.

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