CVE-2021-36723 in eNvoice
Summary
by MITRE • 12/29/2021
Emuse - eServices / eNvoice Exposure Of Private Personal Information due to lack of identification mechanisms and predictable IDs an attacker can scrape all the files on the service.
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Analysis
by VulDB Data Team • 12/31/2021
The vulnerability identified as CVE-2021-36723 affects Emuse eServices and eNvoice platforms, representing a critical exposure of private personal information due to inadequate identification mechanisms and predictable identifier patterns. This weakness allows unauthorized actors to systematically scrape and access all files available on the service, creating a comprehensive data breach scenario. The vulnerability stems from the absence of proper access controls and authentication mechanisms that should normally restrict file access to authorized users only.
The technical flaw manifests through predictable ID generation patterns that enable attackers to enumerate and access resources without proper authorization. This type of vulnerability aligns with CWE-200, which addresses improper exposure of sensitive information, and CWE-306, covering missing authentication mechanisms. The predictable nature of identifiers creates a pathway for automated scraping tools to systematically discover and retrieve files, effectively bypassing any intended security controls. Attackers can exploit this by generating valid identifiers based on observed patterns, leading to widespread access to personal information.
The operational impact of this vulnerability extends beyond simple data exposure, as it creates a complete compromise of user privacy and organizational security posture. Organizations using Emuse eServices and eNvoice platforms face significant risks including identity theft, financial fraud, regulatory violations, and potential legal consequences. The vulnerability directly maps to ATT&CK technique T1005, which covers data from local systems, and T1074, covering data staging, as attackers can systematically collect and exfiltrate large volumes of sensitive information. The exposure affects not just individual users but entire organizational datasets, potentially compromising thousands of personal records.
Mitigation strategies must address both immediate remediation and long-term security architecture improvements. Organizations should implement robust authentication mechanisms including multi-factor authentication, dynamic identifier generation, and proper access control lists. The solution involves replacing predictable ID patterns with cryptographically secure random identifiers and establishing proper authorization checks at every access point. Network segmentation and monitoring should be implemented to detect unauthorized access attempts. Additionally, regular security assessments and penetration testing should be conducted to identify similar vulnerabilities in related systems. Compliance with standards such as ISO 27001 and GDPR requirements must be maintained through proper data protection measures and incident response procedures. The vulnerability demonstrates the critical importance of implementing proper access controls and authentication mechanisms as fundamental security principles that prevent unauthorized access to sensitive data.