Mautic API SQL Injection via Nested Query Parameters

An SQL injection vulnerability exists in Mautic's API contact filtering mechanism. Due to insufficient recursive sanitization of nested query parameters, an authenticated API user can bypass input filtering and inject arbitrary SQL commands.

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

This vulnerability represents a critical flaw in Mautic's API contact filtering system where insufficient recursive sanitization of nested query parameters allows authenticated API users to inject arbitrary SQL commands. SQL injection (CWE-89) remains one of the most dangerous vulnerability classes because it can lead to complete database compromise, including unauthorized data access, modification, and deletion. Organizations using Mautic for marketing automation and CRM functions are affected, particularly those that expose API endpoints to trusted-but-untrusted application integrations or federated user bases. The requirement for API authentication provides some barrier, but insider threats and compromised service accounts significantly expand the attack surface.

Casky's 301 mapped security skills enable practitioners to detect the attack patterns underlying this vulnerability by correlating MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance) with SQL injection signatures. Using Claude AI's extended reasoning, Casky identifies suspicious patterns such as nested parameter structures containing SQL metacharacters, repeated sanitization bypass attempts, and unusual API query complexity. Practitioners reviewing their findings would observe alerts flagging authentication events followed by API calls containing deeply nested filter parameters with SQL keywords (SELECT, UNION, OR 1=1), combined with behavioral analysis detecting queries that succeed despite appearing malformed. The skill correlation would highlight how initial reconnaissance of the API schema precedes injection attempts, enabling detection at earlier stages before exploitation 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-2026-4776.

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

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Casky has 301 skills that investigate the attack patterns behind CVE-2026-4776. Run one and get CVSS-scored findings in 3 minutes.

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