CVE-2022-41552 in Infrastructure Analytics Advisor
Summary
by MITRE • 11/01/2022
Server-Side Request Forgery (SSRF) vulnerability in Hitachi Infrastructure Analytics Advisor on Linux (Data Center Analytics, Analytics probe components), Hitachi Ops Center Analyzer on Linux (Hitachi Ops Center Analyzer detail view, Hitachi Ops Center Analyzer probe components) allows Server Side Request Forgery.
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Analysis
by VulDB Data Team • 11/01/2022
The CVE-2022-41552 vulnerability represents a critical server-side request forgery flaw affecting Hitachi's infrastructure analytics and operations center analyzer products running on linux platforms. This vulnerability resides within the data center analytics and analytics probe components of Hitachi Infrastructure Analytics Advisor, as well as the detail view and probe components of Hitachi Ops Center Analyzer. The flaw enables malicious actors to manipulate the application's behavior by tricking it into making unintended requests to internal or external systems that would normally be inaccessible to unauthorized users. The vulnerability stems from insufficient validation of user-supplied input that is processed by the application's server-side components, creating an attack surface where crafted requests can bypass normal access controls and potentially expose sensitive internal network resources.
The technical implementation of this SSRF vulnerability allows attackers to leverage the application's legitimate functionality to communicate with arbitrary hosts, effectively bypassing network-level security controls and access restrictions. When the vulnerable application processes user input that contains malicious URLs or hostnames, it fails to properly validate or sanitize these inputs before initiating outbound network requests. This weakness aligns with CWE-918, which specifically addresses server-side request forgery vulnerabilities where applications fail to properly validate external resource requests. The flaw can be exploited to target internal systems such as internal web services, database servers, or other networked devices that are normally protected by firewalls or network segmentation policies, potentially enabling attackers to perform reconnaissance, data exfiltration, or even lateral movement within the affected network environment.
The operational impact of this vulnerability extends beyond simple information disclosure, as it can enable attackers to gain unauthorized access to internal systems and potentially escalate their privileges within the affected infrastructure. Organizations running Hitachi Infrastructure Analytics Advisor or Hitachi Ops Center Analyzer on Linux platforms face significant risk of unauthorized access to their internal network resources, including potential exposure of sensitive operational data, configuration information, or access to backend systems that should remain isolated from external threats. The vulnerability affects both the data center analytics and analytics probe components, as well as the detail view and probe components of the ops center analyzer, indicating a widespread impact across multiple product functionalities. This creates a substantial risk for enterprise environments where these tools are deployed to monitor and analyze critical infrastructure components, potentially allowing attackers to compromise the very systems they are designed to protect.
Mitigation strategies for CVE-2022-41552 should prioritize immediate patching of affected systems with the vendor-provided security updates, as recommended by Hitachi's security advisories and aligned with the ATT&CK framework's mitigation strategies for server-side request forgery attacks. Network-level controls should include implementing strict outbound firewall rules to restrict access from affected applications to internal systems, particularly those that are not essential for the application's legitimate functionality. Input validation and sanitization measures should be enhanced to ensure that all user-supplied data is properly validated before being processed by the application's server-side components. Organizations should also consider implementing network segmentation and micro-segmentation strategies to limit the potential impact of successful exploitation, while monitoring for unusual network traffic patterns that might indicate exploitation attempts. Additionally, security teams should conduct thorough vulnerability assessments to identify other potentially vulnerable applications within their environment that may be susceptible to similar SSRF attacks, as this class of vulnerability often indicates broader architectural weaknesses in input handling and network access controls. The vulnerability's classification under CWE-918 and its potential impact on enterprise security infrastructure underscores the importance of implementing comprehensive security controls beyond simple patch management to address the root causes of such server-side request forgery vulnerabilities.