CVE-2026-12879 in Apigee
Summary
by MITRE • 07/09/2026
An Improper Input Validation vulnerability in BigQuery DAO in Google Cloud Apigee versions prior to 2026-06-12 on Google Cloud Platform allows an authenticated attacker to exfiltrate cross-tenant data.
This vulnerability was patched on 12 June 2026 on the Apigee Servers, and no customer action is needed.
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Analysis
by VulDB Data Team • 07/09/2026
This vulnerability represents a critical improper input validation flaw within the BigQuery DAO component of Google Cloud Apigee platform, specifically affecting versions prior to the June 12 2026 patch release. The issue stems from inadequate validation mechanisms that fail to properly sanitize or verify input parameters before processing them within the data access layer. This weakness enables authenticated attackers who have already established credentials within the system to exploit the insufficient validation controls and gain unauthorized access to cross-tenant data. The vulnerability demonstrates a classic security misconfiguration where the system fails to enforce proper access controls between different tenant environments, creating an attack surface that allows lateral movement and data exfiltration across organizational boundaries.
The technical implementation of this flaw resides in the BigQuery Data Access Object (DAO) layer which serves as an intermediary between the Apigee management interface and underlying BigQuery storage systems. When authenticated users submit requests through the API gateway, the DAO component processes these inputs without adequate validation checks that would normally ensure requests remain within proper scope and boundaries. This failure allows attackers to manipulate input parameters in ways that bypass normal tenant isolation mechanisms, potentially accessing data belonging to other organizations using the same Apigee platform instance. The vulnerability can be categorized under CWE-20 as improper input validation, specifically manifesting as insufficient sanitization of user-supplied data within a database access component.
The operational impact of this vulnerability extends beyond simple data exposure, creating significant risks for multi-tenant environments where customer data isolation is paramount. Attackers could potentially extract sensitive information from other tenants including API keys, configuration data, analytics reports, and potentially personally identifiable information that would normally be protected by tenant boundaries. The cross-tenant data exfiltration capability represents a serious breach of the shared responsibility model in cloud computing environments where each organization expects their data to remain isolated from other customers. This vulnerability directly impacts the principle of least privilege and could enable attackers to escalate privileges or conduct reconnaissance across multiple customer environments simultaneously.
Organizations utilizing Google Cloud Apigee should understand that this vulnerability was resolved through a server-side patch deployed on June 12 2026, eliminating the need for any customer intervention. The remediation approach taken by Google demonstrates proper vulnerability management with automatic patch deployment rather than requiring customer action, which aligns with industry best practices for maintaining cloud service security. However, organizations should still review their access controls and monitoring configurations to ensure comprehensive protection against similar vulnerabilities in other components of their Apigee deployments. This incident highlights the importance of continuous security monitoring and validation of input parameters within database access layers, particularly in multi-tenant architectures where data isolation is critical.
The vulnerability's exploitation pathway aligns with ATT&CK technique T1078 which covers valid accounts usage for lateral movement, combined with T1567 for credential access and data exfiltration. The fact that this was an authenticated attack means it would typically be detected by standard security monitoring tools through anomalous access patterns or unusual query behaviors within the BigQuery layer. Organizations should implement additional logging and monitoring specifically around cross-tenant data access attempts to detect similar vulnerabilities in other components of their cloud infrastructure. This incident reinforces the need for regular security assessments of database access layers and proper input validation implementation throughout all application components, particularly those handling sensitive multi-tenant data environments.