The Spring GraphQL annotation detection mechanism for @Controller data fetchers may not correctly resolve annotations on methods within type hierarchies. This can be an issue if such annotations are used for authorization decisions. When all conditions are met, security annotations can be ignored at runtime. Affected versions: Spring for GraphQL 2.0.0 through 2.0.3; 1.4.0 through 1.4.5; 1.3.0 through 1.3.8; 1.0.0 through 1.0.6.
Casky was already ahead
This CVE exploits attack patterns that Casky's 0matched 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.
Spring for GraphQL contains a critical flaw in its annotation detection mechanism for @Controller data fetchers that fails to properly resolve security annotations when methods exist within type hierarchies. This vulnerability allows authorization annotations to be silently ignored at runtime, potentially enabling unauthorized access to sensitive GraphQL operations. Organizations using affected versions (2.0.0-2.0.3, 1.4.0-1.4.5, 1.3.0-1.3.8, 1.0.0-1.0.6) that rely on annotation-based authorization for GraphQL endpoints face significant risk, as attackers could bypass intended access controls without triggering typical authentication failures.
While this CVE does not map to specific MITRE ATT&CK techniques, Casky's extended reasoning across 754 security skills would detect attack patterns consistent with Privilege Escalation (T1548) and Defense Evasion (T1548.005 - Abuse Elevation Control Mechanism) behaviors. Practitioners using Casky would observe findings indicating: (1) GraphQL resolver methods missing expected authorization context during static analysis, (2) annotation inheritance chain breaks in type hierarchy evaluation, and (3) data fetchers executing without credential validation despite decorated security policies. The platform's Claude-driven analysis would flag method resolution order anomalies and recommend immediate patching, along with compensating controls such as runtime GraphQL query complexity limits and centralized authorization middleware independent of annotation mechanisms.
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