Craft CMS GraphQL Authorization Bypass Via Traversal

Craft CMS from 5.0.0 before 5.11.2 contains an authorization bypass vulnerability that allows anonymous GraphQL clients to read out-of-scope section entries via prev/next fields. Attackers can chain next hops from one visible in-scope entry to enumerate entries and read titles, slugs, and custom-field content from withheld sections.

Casky was already ahead

This CVE exploits attack patterns that Casky's 283matched 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

Craft CMS versions 5.0.0 through 5.11.1 contain a critical authorization bypass vulnerability (CVSS 9.8) that allows unauthenticated attackers to access restricted section entries through GraphQL queries. The vulnerability exploits improper access control (CWE-862) in the prev/next field traversal logic, enabling attackers to chain navigation operations across visible entries to reach and extract sensitive data from protected sections—including titles, slugs, and custom field content. This affects any Craft CMS installation exposing GraphQL endpoints without strict query filtering, making it particularly dangerous for content management systems handling confidential or user-restricted information.

Casky's 283 mapped security skills leverage Claude AI's extended reasoning to detect the attack patterns underlying this vulnerability across two MITRE ATT&CK tactics: Privilege Escalation (TA0004) and Credential Access (TA0006). Practitioners using Casky would identify suspicious GraphQL query chains attempting sequential prev/next field traversals, anomalous cross-section data access patterns from unauthenticated sources, and repeated field enumeration attempts targeting GraphQL introspection. The platform's skill mapping would surface detection opportunities for monitoring unauthorized GraphQL mutations, analyzing query logs for traversal-based access patterns, and identifying scope boundary violations in API responses—enabling teams to spot exploitation attempts before sensitive data exfiltration 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 →

283 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-124427.

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

Access with Stolen Session Cookie

cryptography · low

Run

MITRE ATT&CK Techniques

TA0004 TA0006

Investigate the attack patterns behind CVE-2026-124427

Casky has 283 skills that investigate the attack patterns behind CVE-2026-124427. Run one and get CVSS-scored findings in 3 minutes.

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