CVE-2023-38752 in Network for Analysis and Liaison
Summary
by MITRE • 08/09/2023
Improper authorization vulnerability in Special Interest Group Network for Analysis and Liaison versions 4.4.0 to 4.7.7 allows the authorized API users to view the attribute information of the poster that is set as"non-disclosure" in the system settings.
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Analysis
by VulDB Data Team • 09/02/2023
The vulnerability identified as CVE-2023-38752 represents a critical authorization flaw within the Special Interest Group Network for Analysis and Liaison software ecosystem. This issue affects versions ranging from 4.4.0 through 4.7.7, indicating a prolonged period during which the system remained susceptible to unauthorized data access. The affected software operates within cybersecurity and intelligence analysis frameworks where data classification and access control are paramount for maintaining operational security and protecting sensitive information. The vulnerability specifically targets the system's authorization mechanisms, creating a scenario where legitimate users can bypass intended access restrictions.
The technical implementation flaw manifests in the system's failure to properly enforce attribute-level access controls for data elements marked as "non-disclosure" within system settings. This improper authorization vulnerability allows authorized API users to access information that should remain restricted based on predefined security policies. The flaw occurs at the application layer where the authorization logic fails to validate whether the requesting user has appropriate clearance levels to view specific attribute information. The system's access control model appears to inadequately distinguish between different user roles and their corresponding data access permissions, particularly when dealing with sensitive metadata.
Operational impact of this vulnerability extends beyond simple data exposure, as it fundamentally undermines the trust model within the security analysis network. Authorized users who should only have access to specific data subsets can potentially access confidential attribute information that has been explicitly marked as non-disclosure. This creates risks for intelligence operations where sensitive operational details could be compromised, potentially affecting ongoing investigations or exposing methodologies used by the security analysis team. The vulnerability represents a breakdown in the principle of least privilege, where users can access data beyond their authorized scope, creating potential for both intentional and unintentional data leakage.
Mitigation strategies should focus on implementing robust access control enforcement mechanisms and strengthening the authorization validation process within the API layer. The system should enforce strict attribute-level access controls that respect the non-disclosure settings configured by administrators. Security patches should address the core authorization logic to ensure that all API requests undergo comprehensive access validation against the system's security policies. Organizations should also implement regular access control audits and monitoring to detect unauthorized access attempts. This vulnerability aligns with CWE-285 which addresses improper authorization in software systems, and could be mapped to ATT&CK technique T1078 which covers valid accounts and privilege escalation. The remediation process should include comprehensive testing of access control mechanisms and implementation of automated security validation checks to prevent similar authorization bypass scenarios in the future.