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Nowadays, web-based applications extend to all businesses due to their advantages and easy usability. The most important issue in web-based applications is security. Due to their advantages, most academic journals are now using these applications, with papers being submitted and published through their websites. As these websites are resources for knowledge, information security is primary for maintaining their integrity. In this opinion piece, we point out vulnerabilities in certain websites and introduce the potential for future threats. We intend to present how some journals are vulnerable and what will happen if a journal can be infected by attackers. This opinion is not a technical manual in information security, it is a short inspection that we did to improve the security of academic journals.

Purpose: Academic and other researchers have limited tools with which to address the current proliferation of predatory and hijacked journals. These journals can have negative effects on science, research funding, and the dissemination of information. As most predatory and hijacked journals are not error free, this study used ChatGPT, an artificial intelligence (AI) technology tool, to conduct an evaluation of journal quality. Methods: Predatory and hijacked journals were analyzed for reliability using ChatGPT, and the reliability of result have been discussed. Results: It shows that ChatGPT is an unreliable tool for journal quality evaluation for both hijacked and predatory journals. Conclusion: To show how to address this gap, an early trial version of Journal Checker Chatbot has been developed and is discussed as an alternative chatbot that can assist researchers in detecting hijacked journals. [ABSTRACT FROM AUTHOR]