SQL Injection in Apache Doris Metadata Query Path

Apache Doris MCP Server contains a SQL injection vulnerability in a metadata query path. A user-controlled database name is directly interpolated into a SQL query, and the query is executed without passing the caller's authorization context. This may allow an authenticated attacker, or an anonymous attacker if authentication is disabled, to bypass SQL security validation and access metadata outside the intended database scope. Affected users are recommended to upgrade to Doris version 0.6.1 or later, which fixes the issue.

Casky was already ahead

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 Doris MCP Server contains a critical SQL injection vulnerability (CVE-2025-66336, CVSS 8.1) where user-controlled database names are directly interpolated into SQL queries without sanitization. The vulnerability bypasses SQL security validation and authorization context checks, allowing authenticated attackers—or unauthenticated users if authentication is disabled—to access metadata outside their intended database scope. This affects organizations relying on Doris for data warehousing and analytics, particularly those with sensitive multi-tenant environments where database isolation is a security requirement.

Casky's 322 matching skills help practitioners detect the attack patterns underlying this vulnerability by mapping to MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance for initial access). Claude AI with extended reasoning analyzes SQL query logs to identify suspicious database name patterns, unauthorized metadata enumeration attempts, and queries that deviate from expected application behavior. Practitioners would see findings highlighting injected SQL syntax in database parameters, unexpected INFORMATION_SCHEMA queries, access attempts to databases outside the caller's authorization scope, and anomalous query execution paths—all hallmarks of SQL injection exploitation. These skill detections enable teams to identify compromise attempts before attackers exfiltrate sensitive metadata or escalate privileges within the database environment.

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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 →

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-2025-66336.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2025-66336

Casky has 322 skills that investigate the attack patterns behind CVE-2025-66336. Run one and get CVSS-scored findings in 3 minutes.

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