CVE-2023-44401
PHP vulnerability analysis and mitigation

Overview

The Silverstripe CMS GraphQL Server vulnerability (CVE-2023-44401) was discovered in versions 4.0.0 prior to 4.3.7 and 5.0.0 prior to 5.1.3. The vulnerability involves a bypass of canView permission checks in paginated GraphQL query results when the total number of records exceeds the number of records per page. This issue affects both paginated queries and queries with applied limits. The vulnerability was disclosed on January 23, 2024, and has been patched in versions 4.3.7 and 5.1.3 (Vendor Advisory).

Technical details

The vulnerability stems from a permission check bypass in the GraphQL server's pagination mechanism. When handling paginated queries where the total record count exceeds the page size, the system fails to properly enforce canView permission checks on all records. The issue has been assigned a CVSS v3.1 base score of 5.3 (Medium) with the vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N, indicating it can be exploited remotely with low attack complexity and requires no privileges or user interaction (GitHub Advisory).

Impact

The vulnerability allows unauthorized access to records that should be restricted by permission checks. This could lead to information disclosure of sensitive data that would normally be protected by the canView permission system. The impact is primarily on data confidentiality, with no direct effect on system integrity or availability (GitHub Advisory).

Mitigation and workarounds

The primary mitigation is to upgrade to the patched versions: 4.3.7 for version 4.x or 5.1.3 for version 5.x. The fix ensures that no new records are pulled from the database after performing canView permission checks for each page of results. As a workaround, administrators can disable these permission checks by disabling the CanViewPermission plugin, though this is not recommended for security reasons. Note that version 3.x is not affected by this vulnerability (Vendor Advisory).

Additional resources


SourceThis report was generated using AI

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