CVE-2026-41730: Spring Data REST Exception Disclosure Vulnerability

Technical summary

Spring Data REST serializes complete exception cause chains into HTTP error response bodies without sufficient filtering or sanitization. This violates the principle of minimal information disclosure in error handling. When a request triggers an exception (for example, a database constraint violation, connection pool exhaustion, or query parsing error), the framework includes the entire cause chain in the response body. An unauthenticated, remote client can craft requests designed to trigger exceptions and receive detailed debugging information that reveals persistence-layer implementation details, database vendor and version information, SQL dialects, table and column names, connection pool configuration, and other sensitive architectural details. The attack requires no authentication, user interaction, or special network conditions—any network-accessible Spring Data REST endpoint is potentially exploitable.

Business impact

Information disclosure of this nature undermines defense in depth by giving attackers reconnaissance data that accelerates subsequent attacks. Exposed database schema, vendor information, and connection pooling details reduce the effort required to craft targeted SQL injection, business logic bypass, or resource exhaustion attacks. For organizations with strict data governance or compliance requirements (PCI-DSS, HIPAA, SOC 2), uncontrolled exposure of system internals in error responses can result in audit failures or compliance violations. The reputational risk of customer-facing APIs leaking technical details also warrants remediation. However, since this is an information disclosure issue (not a direct code execution or authentication bypass), the immediate business risk is moderate—it acts as a force multiplier for secondary attacks rather than a direct compromise vector.

Affected systems

Spring Data REST versions 3.7.0–3.7.19, 4.3.0–4.3.16, 4.4.0–4.4.14, 4.5.0–4.5.11, and 5.0.0–5.0.5 are affected. This encompasses a broad range of the modern Spring Data REST ecosystem. Applications using older versions (pre-3.7) or newer versions beyond 5.0.5 require verification against vendor advisories. Any organization running Spring Boot applications that expose REST endpoints via Spring Data REST repositories should audit their deployed versions immediately. Given Spring Data REST's prevalence in microservices and cloud-native architectures, the installed base is substantial.

Exploitability

Exploitability is high from a practical standpoint. No authentication, special privileges, or user interaction is required. An attacker with network access to any Spring Data REST endpoint can systematically trigger exceptions by sending malformed requests, invalid query parameters, or payloads designed to violate business rules or database constraints. Each successful exception trigger returns valuable reconnaissance data. The barrier to exploitation is extremely low—standard HTTP clients and basic fuzzing techniques suffice. However, the CVSS score of 5.3 reflects that the direct impact is limited to information disclosure (confidentiality) without integrity or availability impact, placing it in the medium severity category.

Remediation

Organizations must upgrade to patched versions. Verify against the VMware Spring Data REST security advisory for the specific patch versions addressing CVE-2026-41730. Generally, this involves updating the spring-data-rest dependency in build configuration files (Maven pom.xml or Gradle build.gradle) and redeploying affected applications. Additionally, implement defense-in-depth mitigations: configure application error handling to return generic error messages to clients while logging detailed exceptions server-side; use API gateways or WAF rules to sanitize or suppress verbose error bodies; and implement proper authentication and rate limiting on REST endpoints to reduce the surface for reconnaissance.

Patch guidance

Consult the official VMware Spring Data REST security advisory (linked in the CVE database) for exact patched version numbers for each affected release line (3.7.x, 4.3.x, 4.4.x, 4.5.x, 5.0.x). Patched versions typically increment the patch number (e.g., 3.7.20, 4.3.17, etc.). After updating the dependency, rebuild and redeploy applications. Verify the fix by testing that exception responses no longer include detailed cause chains. Consider staging the update in a test environment first to ensure compatibility with your application's exception handling and logging infrastructure.

Detection guidance

Monitor HTTP error responses (4xx, 5xx status codes) from Spring Data REST endpoints for the presence of detailed stack traces, SQL statements, database vendor identifiers, or other system internals. Implement centralized logging and alerting on responses containing keywords like 'Caused by:', 'SQLException', database vendor names (Oracle, PostgreSQL, MySQL), or package names (org.hibernate, org.springframework.data). Security scanning tools can flag verbose error messages during API reconnaissance testing. Network-based detection is challenging but possible by inspecting response bodies for patterns indicative of unfiltered exception output.

Why prioritize this

This vulnerability should be prioritized for patching but not treated as critical. It is a confirmed information disclosure issue affecting multiple maintained versions of a widely-used framework, with high exploitability but limited direct impact. Organizations with internet-facing Spring Data REST APIs should prioritize patching within 30–60 days. Internal-only APIs present lower risk but should still be remediated as part of routine maintenance. The CVSS score of 5.3 and lack of KEV status indicate this is not an immediate zero-day or mass-exploitation scenario, but the ease of exploitation justifies prompt action.

Risk score, explained

The CVSS v3.1 score of 5.3 (MEDIUM) reflects: network-accessible attack vector (AV:N), low complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), unchanged scope (S:U), and low confidentiality impact (C:L) with no integrity or availability impact (I:N, A:N). The score appropriately captures that while exploitation is trivial and information is leaked, there is no direct path to system compromise or service disruption. The 'L' confidentiality rating acknowledges the information disclosure but recognizes that typical deployments may not expose the most critical secrets in exception chains. A higher score would be warranted if, for example, credentials or personal data were routinely exposed in error messages.

Frequently asked questions