CVE-2026-97282 in Review Schema Plugin
Summary
by MITRE • 09/30/2026
Unauthenticated Insecure Direct Object References (IDOR) in Review Schema <= 3.1.0 versions.
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Analysis
by VulDB Data Team • 09/30/2026
The vulnerability identified as an Unauthenticated Insecure Direct Object Reference within the Review Schema plugin, specifically affecting versions up to and including 3.1.0, represents a critical failure in access control mechanisms that allows attackers to manipulate object identifiers directly without proper authentication or authorization checks. This flaw stems from the application's reliance on client-supplied input, such as URL parameters or POST data, to determine which database records are accessed, while failing to verify whether the requesting user has legitimate permission to view or modify those specific resources. In a secure implementation, the system should map external identifiers to internal objects using indirect references or enforce strict ownership verification before processing any request related to review data. Instead, this vulnerability allows an unauthenticated actor to enumerate and access sensitive information associated with other users' reviews by simply altering numeric IDs in API endpoints or web forms that handle review retrieval, editing, or deletion operations.
From a technical perspective, the exploitation of this Insecure Direct Object Reference typically involves crafting HTTP requests where the identifier for a specific review record is modified sequentially to iterate through available records. Since no authentication token is required, an attacker can automate this process using simple scripts to scrape large volumes of data from the platform. The operational impact extends beyond mere data exposure; depending on the functionality exposed by these endpoints, it may also allow unauthorized modification or deletion of reviews posted by legitimate users. This compromises the integrity and availability of user-generated content, which is central to the value proposition of any review-based application. Furthermore, if the retrieved review data contains personally identifiable information such as names, email addresses, or location details linked to specific products or services, this constitutes a significant privacy breach that could violate regulations like GDPR or CCPA due to unauthorized disclosure of personal data.
This vulnerability aligns closely with CWE-639, which defines Insecure Direct Object References as flaws where an application exposes a reference to an internal implementation object, such as a file, directory, or database key, without adequate access control checks. The lack of authentication requirement elevates the severity significantly compared to authenticated IDOR vulnerabilities because it removes the primary barrier for exploitation, making it accessible to any internet user with basic networking knowledge. In terms of offensive security frameworks, this behavior maps directly to MITRE ATT&CK technique T1078, specifically Valid Accounts or Default Accounts if default credentials are involved, but more accurately fits under data exfiltration techniques where an attacker accesses sensitive information without needing valid session tokens. The ease of exploitation means that automated scanners and malicious actors can rapidly identify vulnerable instances on the internet using search engines or specialized vulnerability discovery tools.
Mitigation strategies must focus on implementing robust authorization checks at every point where external input is used to access internal resources. Developers should replace direct object references with indirect mapping tables or use opaque, non-sequential identifiers that do not reveal information about other records in the system. It is imperative to enforce authentication for all endpoints related to review management and ensure that each request includes a verification step confirming that the authenticated user owns the resource being accessed or has explicit administrative privileges over it. Additionally, implementing rate limiting can help mitigate automated enumeration attacks by detecting unusual patterns of requests targeting sequential IDs. Regular security audits and static code analysis focused on access control logic are essential to prevent similar flaws in future updates, ensuring that the principle of least privilege is strictly enforced across all application functions involving user data manipulation.