CVE-2026-56281 in Capgo
Summary
by MITRE • 07/12/2026
Capgo before 12.128.2 contains a sql injection vulnerability in the POST /private/admin_stats endpoint where the limit parameter is destructured from unvalidated request body and interpolated directly into Cloudflare Analytics Engine SQL queries via template literals. An attacker with platform admin credentials can inject SQL fragments to enumerate dataset schemas, extract analytics data, or cause denial-of-service against the analytics backend.
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Analysis
by VulDB Data Team • 07/12/2026
The vulnerability in Capgo versions prior to 12.128.2 represents a critical sql injection flaw within the administrative statistics endpoint at POST /private/admin_stats. This weakness stems from improper input validation and sanitization of the limit parameter which is extracted from the request body without adequate security measures. The application directly interpolates this user-supplied value into Cloudflare Analytics Engine SQL queries using template literals, creating an environment where malicious actors can manipulate database operations through crafted requests.
The technical implementation of this vulnerability aligns with CWE-89, which specifically addresses sql injection vulnerabilities arising from improper handling of untrusted input in database queries. The flaw manifests when administrators access the endpoint with elevated privileges, as the application fails to validate or sanitize the limit parameter before incorporating it into the sql execution context. This design pattern exposes the underlying analytics infrastructure to manipulation through direct sql fragment injection.
Operationally, this vulnerability presents significant risk to organizations relying on Capgo's administrative capabilities. An attacker with valid admin credentials can leverage this flaw to enumerate database schemas and extract sensitive analytics data that may include user behavior patterns, system performance metrics, or other confidential operational information. The impact extends beyond data exfiltration to potential denial-of-service conditions against the analytics backend, as malicious sql injection payloads can overwhelm database resources or corrupt query execution paths.
The exploitation of this vulnerability requires minimal prerequisites since it targets an existing administrative endpoint with legitimate access privileges. Attackers can construct malicious requests containing sql injection payloads within the limit parameter to achieve unauthorized database access. This scenario demonstrates a classic privilege escalation vector where legitimate administrative access is weaponized through improper input handling. The Cloudflare Analytics Engine integration amplifies the risk by providing direct access to analytical data repositories that may contain sensitive operational insights.
Mitigation strategies should focus on implementing proper input validation and sanitization for all user-supplied parameters, particularly those used in database query construction. The application must validate the limit parameter against expected ranges and reject any values that could introduce sql injection vectors. Additionally, adopting parameterized queries or prepared statements instead of template literal interpolation would eliminate the risk of sql injection in this context. Regular security testing and input validation reviews should be implemented to prevent similar vulnerabilities in future code releases. Organizations should also consider implementing automated monitoring for unusual query patterns that might indicate sql injection attempts against administrative endpoints. The vulnerability highlights the importance of following secure coding practices as outlined in industry standards such as the owasp top ten and nist cybersecurity framework, which emphasize proper input validation and secure database interaction patterns to prevent injection attacks.