CVE-2017-4972 in Cloud Foundry
Summary
by MITRE
An issue was discovered in Cloud Foundry Foundation cf-release versions prior to v257; UAA release 2.x versions prior to v2.7.4.14, 3.6.x versions prior to v3.6.8, 3.9.x versions prior to v3.9.10, and other versions prior to v3.15.0; and UAA bosh release (uaa-release) 13.x versions prior to v13.12, 24.x versions prior to v24.7, and other versions prior to v30. An attacker can use a blind SQL injection attack to query the contents of the UAA database.
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Analysis
by VulDB Data Team • 10/16/2019
The vulnerability identified as CVE-2017-4972 represents a critical blind sql injection flaw within the user account and authentication (UAA) component of cloud foundry deployments. This weakness exists in multiple versions of the cf-release and uaa-release packages, specifically affecting UAA releases 2.x versions before 2.7.4.14, 3.6.x versions before 3.6.8, 3.9.x versions before 3.9.10, and various other versions prior to 3.15.0, along with uaa bosh release versions 13.x before 13.12, 24.x before 24.7, and other versions before 30. The vulnerability stems from insufficient input validation and sanitization within the UAA authentication service, which processes user requests without properly escaping or filtering malicious sql payloads.
The technical exploitation of this vulnerability allows an attacker to perform blind sql injection attacks against the underlying database that stores user authentication information, credentials, and access control data. This occurs when user-supplied input is directly incorporated into sql queries without proper parameterization or input sanitization mechanisms. Attackers can leverage this flaw to extract sensitive information from the UAA database including user credentials, access tokens, and authentication details through carefully crafted sql payloads that can be executed in a blind fashion, where the attacker must infer database contents through response timing or conditional responses. The vulnerability specifically targets the authentication and authorization mechanisms that are fundamental to cloud foundry security architecture, potentially allowing attackers to escalate privileges or gain unauthorized access to protected resources.
The operational impact of this vulnerability is severe and multifaceted within cloud foundry environments. Successful exploitation could lead to complete compromise of the authentication system, enabling attackers to impersonate legitimate users, access restricted applications and services, and potentially escalate privileges to administrative levels. Organizations relying on cloud foundry deployments for their application platforms would face significant security risks including data breaches, unauthorized access to sensitive applications, and potential lateral movement within their cloud infrastructure. The vulnerability affects the core authentication service that underpins all user access control within cloud foundry environments, making it a critical target for adversaries seeking persistent access to cloud platforms.
Mitigation strategies for CVE-2017-4972 require immediate patching of affected UAA components to versions containing proper sql injection防护 mechanisms. Organizations should implement comprehensive input validation and parameterized query execution throughout their authentication services, ensuring all user inputs are properly sanitized before database interaction. Network segmentation and access controls should be strengthened to limit exposure of authentication endpoints, while monitoring systems should be enhanced to detect anomalous database query patterns indicative of sql injection attempts. The vulnerability aligns with CWE-89 sql injection and ATT&CK technique T1213 data from information repositories, emphasizing the importance of proper input validation and secure coding practices in authentication systems. Regular security assessments and penetration testing should be conducted to identify similar vulnerabilities in related components and ensure comprehensive protection of cloud foundry deployments against similar attack vectors.