CVE-2023-30899 in Siveillance Video 2020
Summary
by MITRE • 05/09/2023
A vulnerability has been identified in Siveillance Video 2020 R2 (All versions < V20.2 HotfixRev14), Siveillance Video 2020 R3 (All versions < V20.3 HotfixRev12), Siveillance Video 2021 R1 (All versions < V21.1 HotfixRev12), Siveillance Video 2021 R2 (All versions < V21.2 HotfixRev8), Siveillance Video 2022 R1 (All versions < V22.1 HotfixRev7), Siveillance Video 2022 R2 (All versions < V22.2 HotfixRev5), Siveillance Video 2022 R3 (All versions < V22.3 HotfixRev2), Siveillance Video 2023 R1 (All versions < V23.1 HotfixRev1). The Management Server component of affected applications deserializes data without sufficient validations. This could allow an authenticated remote attacker to execute code on the affected system.
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Analysis
by VulDB Data Team • 05/09/2023
This vulnerability resides within the Siveillance Video management server components across multiple product versions, representing a critical deserialization flaw that enables authenticated remote code execution. The issue stems from insufficient input validation during data deserialization processes, creating a pathway for malicious actors to exploit the system's trust in serialized data structures. The vulnerability affects a broad range of Siveillance Video products spanning from 2020 through 2023 release cycles, indicating a persistent architectural weakness that has remained unaddressed across multiple product iterations. According to CWE-502, this corresponds to "Deserialization of Untrusted Data," a well-documented weakness that has been exploited in numerous high-profile attacks including those targeting web applications and enterprise systems.
The technical exploitation of this vulnerability requires an authenticated attacker who can send specially crafted serialized data to the management server component. This deserialization process occurs without adequate security checks or sanitization of the incoming data, allowing attackers to inject malicious payloads that execute with the privileges of the management server process. The attack vector operates over network protocols used for management communications, making it accessible to attackers who have already gained valid credentials through other means such as credential theft, phishing, or compromised accounts. This vulnerability aligns with ATT&CK technique T1059.007 for "Command and Scripting Interpreter: Python" and T1078.004 for "Valid Accounts: Cloud Accounts" when attackers leverage legitimate access to execute malicious code within the system environment.
The operational impact of this vulnerability extends beyond simple remote code execution, as it provides attackers with elevated privileges within the video surveillance infrastructure. Management servers typically possess administrative rights and can control various aspects of the surveillance system including camera configurations, recording settings, and access controls. Successful exploitation could allow attackers to manipulate video feeds, disable security features, access sensitive surveillance data, or establish persistent backdoors within the network. The affected systems represent critical infrastructure components that may be located in sensitive environments such as corporate offices, government facilities, or industrial sites where unauthorized access could compromise physical security and data integrity. Organizations relying on these systems face potential breaches that could lead to privacy violations, operational disruptions, and compliance violations under data protection regulations.
Organizations should immediately implement mitigations including applying the vendor-provided hotfixes for each affected version, as these patches address the specific deserialization vulnerabilities. Network segmentation should be enforced to limit access to management server components, implementing strict firewall rules that restrict access to these systems from trusted networks only. Additional protective measures include implementing multi-factor authentication for management interfaces, monitoring for unusual authentication patterns, and conducting regular security assessments of the surveillance infrastructure. The vulnerability demonstrates the importance of secure coding practices in enterprise software development, particularly around data validation and input sanitization. Organizations should also consider implementing intrusion detection systems to monitor for potential exploitation attempts and establish incident response procedures specifically for surveillance system compromises. Regular vulnerability assessments and penetration testing should be conducted to identify similar weaknesses in other enterprise systems that may be susceptible to the same class of deserialization attacks.