Bank Emails: The Language of Legit and Scam

Sophomore T. Vacalares, Brian Paul E. Sta. Ana, Daryl Q. Dranto
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Abstract

Amidst the pandemic, the surge in unsolicited scam emails has made internet technology a significant concern. Distinguishing between scams and authentic/legit emails has become increasingly difficult. This research aimed to identify typical characteristics and language patterns found in emails. It also aimed to identify the common linguistics and technical features of the scams and legitimate bank emails. Two legitimate emails and two scam or fraudulent emails from different banks in the Philippines (i.e., LandBank and BDO). A qualitative method was used to analyze and interpret the language features of the two emails. This led to the identification of shared characteristics found in scams and legitimate emails. A scam email typically includes embedded malicious links, misspellings, formatting issues, suspicious email domains, frequent use of contractions and redundancy, tautology, and imperative mood. On the other hand, legitimate emails exhibit proper punctuation, accurate email domains, appropriate formatting, absence of spelling mistakes, avoidance of contractions and redundancy, and use indicative mood rather than imperative. Scam emails utilize modal verbs to manipulate recipients into divulging personal information. Recognizing these email patterns is crucial for educating users and reducing phishing risks. It is important to note that the interpretation and findings of this study are based on the entire dataset collected. Keywords: Bank Emails, Legit Emails, Linguistic Features, Scam Emails, Phishing
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银行电子邮件:合法与欺诈的语言
在大流行病的影响下,未经请求的诈骗电子邮件激增,使互联网技术成为一个重大问题。区分诈骗邮件和真实/合法邮件变得越来越困难。本研究旨在识别电子邮件中的典型特征和语言模式。研究还旨在确定诈骗邮件和合法银行邮件的共同语言和技术特征。两封合法电子邮件和两封来自菲律宾不同银行(即 LandBank 和 BDO)的诈骗或欺诈电子邮件。采用定性方法分析和解释两封邮件的语言特点。由此发现了诈骗邮件和合法邮件的共同特征。诈骗电子邮件通常包括嵌入式恶意链接、拼写错误、格式问题、可疑的电子邮件域名、频繁使用缩略词和冗余、同义反复和命令式语气。另一方面,合法电子邮件则表现出正确的标点符号、准确的电子邮件域名、适当的格式、无拼写错误、避免缩略词和冗余、使用指示语气而非命令语气。诈骗电子邮件利用情态动词操纵收件人泄露个人信息。识别这些电子邮件模式对于教育用户和降低网络钓鱼风险至关重要。值得注意的是,本研究的解释和结论是基于收集到的整个数据集:银行电子邮件 合法电子邮件 语言特征 欺诈电子邮件 网络钓鱼
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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