Apache Camel AWS2-SQS Unfiltered Message Attribute Injection

Improper Input Validation vulnerability in Apache Camel AWS2-SQS Component. The camel-aws2-sqs component map inbound message attributes into the Camel Exchange through a component-specific HeaderFilterStrategy. Sqs2HeaderFilterStrategy configured only an outbound filter (setOutFilterPattern, which blocks Camel*, breadcrumbId and org.apache.camel.* headers being written to the broker) but did not configure an inbound filter. As a result, when Sqs2Consumer copies each SQS MessageAttribute into the Exchange via HeaderFilterStrategy.applyFilterToExternalHeaders, DefaultHeaderFilterStrategy applied no inbound rule and treated every header name as not filtered - including Camel-internal control headers such as CamelHttpUri, CamelFileName or CamelSqlQuery - copying them unmodified onto the Camel message. Any principal able to send messages to the consumed SQS queue (for example a cross-account sender or a lower-privileged in-account component holding sqs:SendMessage) could therefore set arb

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This CVE exploits attack patterns that Casky's 322matched 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

Apache Camel's camel-aws2-sqs component contains an improper input validation vulnerability (CWE-20) that allows attackers to inject malicious message attributes from AWS SQS into Camel Exchange headers without restriction. The component only filtered outbound headers to prevent sensitive internal headers from being written to SQS, but failed to implement corresponding inbound filtering. This asymmetric protection means that attackers can craft SQS messages with arbitrary MessageAttributes that get directly mapped into Camel headers, potentially enabling header injection attacks, expression language injection, or manipulation of application logic that depends on header values. Any organization using the camel-aws2-sqs component to consume messages from SQS queues is affected, particularly those processing messages from untrusted or insufficiently validated sources.

Casky's 322 matching skills, powered by Claude AI's extended reasoning capabilities, would identify this vulnerability through detection of MITRE ATT&CK technique TA0001 (Resource Development) and TA0043 (Reconnaissance) patterns. Practitioners using Casky would observe findings highlighting: (1) unvalidated data flow from external AWS SQS sources into application header processing logic, (2) missing input sanitization on MessageAttribute values before Camel Exchange mapping, (3) asymmetric security controls where outbound filtering exists but inbound filtering does not, and (4) potential gadget chains where malicious headers could trigger expression language evaluation or Spring bean manipulation depending on downstream Camel route configurations. The platform would flag this as a critical attack vector for message spoofing and code execution through header-based injection attacks.

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GreyNoise Signal

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322 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-46456.

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mobile security · low

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MITRE ATT&CK Techniques

TA0001 TA0043

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