CVE-2022-42054: n/a in n/a
Multiple stored cross-site scripting (XSS) vulnerabilities in GL.iNet GoodCloud IoT Device Management System Version 1.00.220412.00 allow attackers to execute arbitrary web scripts or HTML via a crafted payload injected into the Company Name and Description text fields.
AI Analysis
Technical Summary
CVE-2022-42054 is a medium-severity stored cross-site scripting (XSS) vulnerability affecting the GL.iNet GoodCloud IoT Device Management System, specifically version 1.00.220412.00. The vulnerability arises from insufficient input sanitization in the Company Name and Description text fields, allowing an attacker to inject malicious web scripts or HTML payloads. When these crafted inputs are stored and later rendered in the web interface without proper encoding or filtering, the malicious scripts execute in the context of the victim's browser. This can lead to session hijacking, unauthorized actions on behalf of the user, or the theft of sensitive information. The CVSS 3.1 base score is 5.4, reflecting a medium severity with network attack vector, low attack complexity, requiring privileges and user interaction, and impacting confidentiality and integrity but not availability. The vulnerability is classified under CWE-79, which is a common and well-understood web application security flaw. No public exploits are currently known in the wild, and no patches have been explicitly linked in the provided data, indicating that mitigation may require vendor updates or manual input validation by administrators. The vulnerability affects an IoT device management platform, which is critical for managing and monitoring connected devices, making it a potential vector for broader compromise if exploited.
Potential Impact
For European organizations, especially those deploying GL.iNet GoodCloud for IoT device management, this vulnerability poses a risk of unauthorized script execution within the management console. This can lead to compromised administrative sessions, unauthorized configuration changes, or leakage of sensitive operational data. Given the increasing adoption of IoT devices in sectors such as manufacturing, smart cities, healthcare, and critical infrastructure across Europe, exploitation could facilitate lateral movement within networks or serve as a foothold for further attacks. The confidentiality and integrity of device management data are at risk, potentially undermining trust in IoT deployments and causing operational disruptions. Although availability is not directly impacted, the indirect effects of compromised management interfaces could lead to misconfigurations or downtime. The requirement for some level of privilege and user interaction reduces the likelihood of widespread automated exploitation but does not eliminate targeted attacks against high-value European entities.
Mitigation Recommendations
European organizations should prioritize the following mitigations: 1) Apply any available vendor patches or updates for GL.iNet GoodCloud promptly once released. 2) Implement strict input validation and output encoding on all user-supplied data fields within the management system, especially Company Name and Description fields, to prevent injection of malicious scripts. 3) Restrict access to the management interface to trusted administrators only, using network segmentation and strong authentication mechanisms such as multi-factor authentication (MFA). 4) Monitor logs and user activities for unusual input patterns or behavior indicative of attempted XSS exploitation. 5) Educate administrators about the risks of clicking on suspicious links or interacting with untrusted inputs within the management console. 6) Consider deploying web application firewalls (WAFs) with custom rules to detect and block XSS payloads targeting the management system. 7) Regularly review and audit IoT device management configurations and user privileges to minimize exposure.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden, Belgium, Poland, Finland
CVE-2022-42054: n/a in n/a
Description
Multiple stored cross-site scripting (XSS) vulnerabilities in GL.iNet GoodCloud IoT Device Management System Version 1.00.220412.00 allow attackers to execute arbitrary web scripts or HTML via a crafted payload injected into the Company Name and Description text fields.
AI-Powered Analysis
Technical Analysis
CVE-2022-42054 is a medium-severity stored cross-site scripting (XSS) vulnerability affecting the GL.iNet GoodCloud IoT Device Management System, specifically version 1.00.220412.00. The vulnerability arises from insufficient input sanitization in the Company Name and Description text fields, allowing an attacker to inject malicious web scripts or HTML payloads. When these crafted inputs are stored and later rendered in the web interface without proper encoding or filtering, the malicious scripts execute in the context of the victim's browser. This can lead to session hijacking, unauthorized actions on behalf of the user, or the theft of sensitive information. The CVSS 3.1 base score is 5.4, reflecting a medium severity with network attack vector, low attack complexity, requiring privileges and user interaction, and impacting confidentiality and integrity but not availability. The vulnerability is classified under CWE-79, which is a common and well-understood web application security flaw. No public exploits are currently known in the wild, and no patches have been explicitly linked in the provided data, indicating that mitigation may require vendor updates or manual input validation by administrators. The vulnerability affects an IoT device management platform, which is critical for managing and monitoring connected devices, making it a potential vector for broader compromise if exploited.
Potential Impact
For European organizations, especially those deploying GL.iNet GoodCloud for IoT device management, this vulnerability poses a risk of unauthorized script execution within the management console. This can lead to compromised administrative sessions, unauthorized configuration changes, or leakage of sensitive operational data. Given the increasing adoption of IoT devices in sectors such as manufacturing, smart cities, healthcare, and critical infrastructure across Europe, exploitation could facilitate lateral movement within networks or serve as a foothold for further attacks. The confidentiality and integrity of device management data are at risk, potentially undermining trust in IoT deployments and causing operational disruptions. Although availability is not directly impacted, the indirect effects of compromised management interfaces could lead to misconfigurations or downtime. The requirement for some level of privilege and user interaction reduces the likelihood of widespread automated exploitation but does not eliminate targeted attacks against high-value European entities.
Mitigation Recommendations
European organizations should prioritize the following mitigations: 1) Apply any available vendor patches or updates for GL.iNet GoodCloud promptly once released. 2) Implement strict input validation and output encoding on all user-supplied data fields within the management system, especially Company Name and Description fields, to prevent injection of malicious scripts. 3) Restrict access to the management interface to trusted administrators only, using network segmentation and strong authentication mechanisms such as multi-factor authentication (MFA). 4) Monitor logs and user activities for unusual input patterns or behavior indicative of attempted XSS exploitation. 5) Educate administrators about the risks of clicking on suspicious links or interacting with untrusted inputs within the management console. 6) Consider deploying web application firewalls (WAFs) with custom rules to detect and block XSS payloads targeting the management system. 7) Regularly review and audit IoT device management configurations and user privileges to minimize exposure.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2022-10-03T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d981ac4522896dcbd95fb
Added to database: 5/21/2025, 9:08:42 AM
Last enriched: 7/5/2025, 12:42:55 PM
Last updated: 7/30/2025, 1:15:54 PM
Views: 9
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