CVE-2024-56010: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Pierre Lannoy Device Detector
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Pierre Lannoy Device Detector device-detector allows Reflected XSS.This issue affects Device Detector: from n/a through <= 4.2.0.
AI Analysis
Technical Summary
CVE-2024-56010 is a reflected Cross-site Scripting (XSS) vulnerability identified in the Pierre Lannoy Device Detector software, specifically versions up to and including 4.2.0. The vulnerability stems from improper neutralization of user-supplied input during the generation of web pages, which allows attackers to inject malicious JavaScript code that is reflected back to the user without adequate sanitization. This reflected XSS can be triggered when a victim accesses a crafted URL or web page containing malicious payloads, causing the injected script to execute in the victim's browser context. Such execution can lead to session hijacking, theft of cookies or credentials, unauthorized actions on behalf of the user, or redirection to malicious websites. The Device Detector product is commonly used to identify device types and capabilities in web applications, often processing user agent strings or other input parameters. The lack of proper input validation and output encoding in affected versions makes it vulnerable to this attack vector. Although no public exploits have been reported yet, the vulnerability is publicly disclosed and could be targeted by attackers. The absence of a CVSS score necessitates an assessment based on the nature of the vulnerability, its ease of exploitation, and potential impact. Reflected XSS vulnerabilities typically require user interaction but can be exploited remotely without authentication, affecting confidentiality and integrity of user sessions. The scope includes any web application or service integrating the vulnerable Device Detector versions. Patch information is not yet available, so mitigation relies on defensive coding practices and security controls. Organizations should monitor for updates and apply patches promptly once released.
Potential Impact
The primary impact of CVE-2024-56010 is the compromise of user confidentiality and integrity through the execution of malicious scripts in the context of trusted web applications using the vulnerable Device Detector component. Attackers can steal session cookies, credentials, or other sensitive information, potentially leading to account takeover or unauthorized actions. This can damage organizational reputation, lead to data breaches, and facilitate further attacks such as phishing or malware distribution. The vulnerability does not directly affect system availability but can indirectly cause service disruption if exploited at scale or combined with other attacks. Since exploitation requires user interaction, the attack surface is limited to users who visit maliciously crafted URLs or web pages. However, given the widespread use of Device Detector in web environments, the potential reach is significant. Organizations relying on this component in customer-facing applications or internal portals are at risk. The lack of known exploits currently reduces immediate threat but does not eliminate future risk, especially as attackers often target publicly disclosed vulnerabilities. Overall, the impact is high for confidentiality and integrity, moderate for availability, and significant for organizations with large user bases or sensitive data.
Mitigation Recommendations
1. Monitor official sources and vendor announcements for patches addressing CVE-2024-56010 and apply them promptly once available. 2. Implement strict input validation on all user-supplied data before processing or reflecting it in web pages, ensuring that potentially malicious characters are sanitized or encoded. 3. Employ robust output encoding techniques, such as HTML entity encoding, to neutralize any injected scripts before rendering content to users. 4. Deploy Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts and reduce the impact of XSS attacks. 5. Use web application firewalls (WAFs) with updated rules to detect and block common XSS attack patterns targeting the Device Detector component. 6. Conduct security code reviews and penetration testing focused on input handling and output generation in applications integrating Device Detector. 7. Educate developers and security teams about secure coding practices related to input sanitization and XSS prevention. 8. Consider isolating or sandboxing the Device Detector functionality to limit the scope of potential script execution. 9. Encourage users to avoid clicking on suspicious links and report any unusual web behavior. These measures, combined, will reduce the likelihood and impact of exploitation until an official patch is applied.
Affected Countries
United States, Germany, France, United Kingdom, Canada, Australia, Japan, South Korea, Brazil
CVE-2024-56010: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Pierre Lannoy Device Detector
Description
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Pierre Lannoy Device Detector device-detector allows Reflected XSS.This issue affects Device Detector: from n/a through <= 4.2.0.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-56010 is a reflected Cross-site Scripting (XSS) vulnerability identified in the Pierre Lannoy Device Detector software, specifically versions up to and including 4.2.0. The vulnerability stems from improper neutralization of user-supplied input during the generation of web pages, which allows attackers to inject malicious JavaScript code that is reflected back to the user without adequate sanitization. This reflected XSS can be triggered when a victim accesses a crafted URL or web page containing malicious payloads, causing the injected script to execute in the victim's browser context. Such execution can lead to session hijacking, theft of cookies or credentials, unauthorized actions on behalf of the user, or redirection to malicious websites. The Device Detector product is commonly used to identify device types and capabilities in web applications, often processing user agent strings or other input parameters. The lack of proper input validation and output encoding in affected versions makes it vulnerable to this attack vector. Although no public exploits have been reported yet, the vulnerability is publicly disclosed and could be targeted by attackers. The absence of a CVSS score necessitates an assessment based on the nature of the vulnerability, its ease of exploitation, and potential impact. Reflected XSS vulnerabilities typically require user interaction but can be exploited remotely without authentication, affecting confidentiality and integrity of user sessions. The scope includes any web application or service integrating the vulnerable Device Detector versions. Patch information is not yet available, so mitigation relies on defensive coding practices and security controls. Organizations should monitor for updates and apply patches promptly once released.
Potential Impact
The primary impact of CVE-2024-56010 is the compromise of user confidentiality and integrity through the execution of malicious scripts in the context of trusted web applications using the vulnerable Device Detector component. Attackers can steal session cookies, credentials, or other sensitive information, potentially leading to account takeover or unauthorized actions. This can damage organizational reputation, lead to data breaches, and facilitate further attacks such as phishing or malware distribution. The vulnerability does not directly affect system availability but can indirectly cause service disruption if exploited at scale or combined with other attacks. Since exploitation requires user interaction, the attack surface is limited to users who visit maliciously crafted URLs or web pages. However, given the widespread use of Device Detector in web environments, the potential reach is significant. Organizations relying on this component in customer-facing applications or internal portals are at risk. The lack of known exploits currently reduces immediate threat but does not eliminate future risk, especially as attackers often target publicly disclosed vulnerabilities. Overall, the impact is high for confidentiality and integrity, moderate for availability, and significant for organizations with large user bases or sensitive data.
Mitigation Recommendations
1. Monitor official sources and vendor announcements for patches addressing CVE-2024-56010 and apply them promptly once available. 2. Implement strict input validation on all user-supplied data before processing or reflecting it in web pages, ensuring that potentially malicious characters are sanitized or encoded. 3. Employ robust output encoding techniques, such as HTML entity encoding, to neutralize any injected scripts before rendering content to users. 4. Deploy Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts and reduce the impact of XSS attacks. 5. Use web application firewalls (WAFs) with updated rules to detect and block common XSS attack patterns targeting the Device Detector component. 6. Conduct security code reviews and penetration testing focused on input handling and output generation in applications integrating Device Detector. 7. Educate developers and security teams about secure coding practices related to input sanitization and XSS prevention. 8. Consider isolating or sandboxing the Device Detector functionality to limit the scope of potential script execution. 9. Encourage users to avoid clicking on suspicious links and report any unusual web behavior. These measures, combined, will reduce the likelihood and impact of exploitation until an official patch is applied.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Patchstack
- Date Reserved
- 2024-12-14T19:42:27.169Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 69cd75b8e6bfc5ba1df07074
Added to database: 4/1/2026, 7:44:56 PM
Last enriched: 4/2/2026, 9:40:21 AM
Last updated: 4/4/2026, 8:16:39 AM
Views: 2
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