Apache Camel Solr Header Injection and SSRF Vulnerability

Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection'), Improper Input Validation, Server-Side Request Forgery (SSRF) vulnerability in Apache Camel Solr component. The camel-solr producer copies Exchange message headers whose names begin with the SolrParam. prefix into the parameters of the Solr request, and headers whose names begin with the SolrField. prefix into the fields of the indexed Solr document. The prefix constants (SolrConstants.HEADER_PARAM_PREFIX / HEADER_FIELD_PREFIX) were the plain strings SolrParam. / SolrField.. Because these names do not start with the Camel / camel prefix, HttpHeaderFilterStrategy - which blocks only the Camel header namespace on the HTTP boundary - let them pass from an inbound HTTP request straight into the Exchange. In a route that bridges an HTTP consumer (for example platform-http) into a solr: producer, any HTTP client could therefore set SolrParam.* headers to inject arbitrary Solr request paramete

Casky was already ahead

This CVE exploits attack patterns that Casky's 392matched 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

CVE-2026-48203 represents a critical injection vulnerability in Apache Camel's Solr component where user-controlled message headers are improperly neutralized before being passed to downstream Solr requests. By crafting malicious headers with SolrParam. or SolrField. prefixes, attackers can inject arbitrary parameters and fields into Solr operations, potentially leading to Server-Side Request Forgery (SSRF) attacks. This vulnerability affects any organization using Apache Camel with the Solr component in message processing workflows, particularly those handling untrusted input sources. The CVSS 9.1 critical score reflects the ease of exploitation and severe impact—attackers can manipulate Solr behavior, access internal resources, or extract sensitive data without authentication.

Casky's 392 mapped security skills leverage Claude AI's reasoning capabilities to detect the attack patterns underlying this vulnerability across MITRE ATT&CK techniques TA0001 (Reconnaissance), TA0043 (Reconnaissance), and TA0006 (Resource Development). Practitioners using Casky would identify exploitation attempts through skill detection of CWE-20 (Improper Input Validation) patterns showing unvalidated header propagation, CWE-74 (Injection) signatures revealing malicious parameter injection, and CWE-918 (SSRF) indicators detecting suspicious internal resource requests. In their findings, security teams would observe anomalous Solr parameter patterns, unexpected field modifications, or outbound requests to internal services originating from Camel message processing pipelines—clear indicators of exploitation attempts that Casky's extended reasoning correlates with known attack chain behaviors.

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Shodan Exposure

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GreyNoise Signal

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392 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-48203.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

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abusing-dpapi-for-credential-access

red teaming · high

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abusing-shadow-credentials-for-privesc

red teaming · high

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MITRE ATT&CK Techniques

TA0001 TA0043 TA0006

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