CVE-2022-22807 in EcoStruxure EV Charging Expert
Summary
by MITRE • 02/10/2022
A CWE-1021 Improper Restriction of Rendered UI Layers or Frames vulnerability exists that could cause unintended modifications of the product settings or user accounts when deceiving the user to use the web interface rendered within iframes. Affected Product: EcoStruxure EV Charging Expert (formerly known as EVlink Load Management System): (HMIBSCEA53D1EDB, HMIBSCEA53D1EDS, HMIBSCEA53D1EDM, HMIBSCEA53D1EDL, HMIBSCEA53D1ESS, HMIBSCEA53D1ESM, HMIBSCEA53D1EML) (All Versions prior to SP8 (Version 01) V4.0.0.13)
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Analysis
by VulDB Data Team • 04/29/2026
The CVE-2022-22807 vulnerability represents a critical security flaw classified under CWE-1021, which specifically addresses improper restriction of rendered UI layers or frames. This vulnerability affects the EcoStruxure EV Charging Expert platform, formerly known as EVlink Load Management System, impacting multiple hardware models including HMIBSCEA53D1EDB, HMIBSCEA53D1EDS, HMIBSCEA53D1EDM, HMIBSCEA53D1EDL, HMIBSCEA53D1ESS, HMIBSCEA53D1ESM, and HMIBSCEA53D1EML across all versions prior to SP8 (Version 01) V4.0.0.13. The flaw manifests when users are deceived into interacting with web interfaces rendered within iframes, creating a dangerous attack surface that can lead to unauthorized modifications of system settings and user accounts.
The technical implementation of this vulnerability stems from insufficient validation of iframe content and inadequate protection against clickjacking attacks. When legitimate users navigate to web interfaces that are embedded within iframes, malicious actors can craft deceptive pages that overlay legitimate UI elements with hidden malicious components. This creates a scenario where users believe they are interacting with legitimate system controls while actually performing actions that modify system configurations or user credentials. The vulnerability specifically exploits the browser's rendering behavior where iframes can be manipulated to appear as part of the main application interface, bypassing normal security boundaries that should protect against cross-site scripting and unauthorized modifications.
From an operational impact perspective, this vulnerability poses significant risks to industrial control systems and energy management platforms. The ability to modify product settings or user accounts without proper authentication creates potential for system compromise, unauthorized access to charging infrastructure, and possible disruption of energy management services. Attackers could exploit this vulnerability to gain persistent access to charging systems, modify user permissions, or alter operational parameters that could affect power distribution and charging schedules. The impact extends beyond simple account compromise to potentially affecting the integrity of the entire charging infrastructure management system, particularly in environments where these systems integrate with broader energy grid management platforms.
The vulnerability aligns with several ATT&CK framework techniques including T1071.001 (Application Layer Protocol: Web Protocols) and T1566 (Phishing) as it relies on deceiving users into interacting with maliciously crafted web content. It also demonstrates characteristics of T1211 (Exploitation for Privilege Escalation) and T1059 (Command and Scripting Interpreter) when attackers leverage the compromised system to perform further malicious activities. Organizations should implement immediate mitigations including disabling iframe embedding capabilities where possible, implementing proper content security policies, and ensuring users are trained to recognize and avoid potentially malicious web interactions. The recommended solution involves updating to SP8 or later versions of the affected software, which should include proper iframe validation and UI layer restrictions that prevent the type of cross-frame manipulation that enables this vulnerability. Additionally, network segmentation and monitoring for unusual system modification patterns should be implemented to detect potential exploitation attempts.