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Cross-channel scripting (XCS) is a web vulnerability where malicious code is injected via network devices. This study analyzes computational techniques for detecting and mitigating these cross-site scripting (XSS) attack variants.

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Web Application Security

Background:

  • Cross-channel scripting (XCS) is a prevalent web application vulnerability, representing a variant of cross-site scripting (XSS) attacks.
  • XCS attack vectors can be introduced through network protocols and web interfaces of smart devices like routers and cameras.
  • Malicious code injection into networked devices via protocols such as FTP and NFS can lead to exploitation in client browsers.

Purpose of the Study:

  • To analyze computational techniques for detecting and mitigating Cross-channel scripting (XCS) vulnerabilities.
  • To provide a comprehensive overview of existing tools and approaches for XCS defense.
  • To identify shortcomings and future research directions in XCS computational security.

Main Methods:

  • Analysis of computational techniques for XCS detection and mitigation at both client and server sides.
  • Review of various web application scanners and their specific features.
  • Discussion of computational tools and approaches, detailing their characteristics.

Main Results:

  • Identification of diverse computational techniques applicable to XCS defense.
  • Evaluation of the capabilities and limitations of current web application scanners.
  • Categorization of various computational tools and methodologies for XCS management.

Conclusions:

  • Existing computational techniques offer various methods for XCS detection and mitigation.
  • Further research is needed to address the shortcomings of current XCS defense strategies.
  • Future directions include developing more robust and comprehensive solutions for XCS vulnerabilities.