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Clickbait PDFs, an entry point for multiple Web attacks, are distributed via SEO poisoning and rank high in search results due to being massively uploaded on abused or compromised websites. The central role of these hosts in the…

密码学与安全 · 计算机科学 2024-08-13 Giada Stivala , Gianluca De Stefano , Andrea Mengascini , Mariano Graziano , Giancarlo Pellegrino

In the recent years, Portable Document Format, commonly known as PDF, has become a democratized standard for document exchange and dissemination. This trend has been due to its characteristics such as its flexibility and portability across…

密码学与安全 · 计算机科学 2021-07-28 Nicolas Fleury , Theo Dubrunquez , Ihsen Alouani

Clickbaits are online articles with deliberately designed misleading titles for luring more and more readers to open the intended web page. Clickbaits are used to tempted visitors to click on a particular link either to monetize the landing…

社会与信息网络 · 计算机科学 2020-03-31 Abinash Pujahari , Dilip Singh Sisodia

Over the last decade, malicious software (or malware, for short) has shown an increasing sophistication and proliferation, fueled by a flourishing underground economy, in response to the increasing complexity of modern defense mechanisms.…

密码学与安全 · 计算机科学 2017-07-18 Davide Maiorca , Battista Biggio

Machine learning (ML)-based malware detection systems are becoming increasingly important as malware threats increase and get more sophisticated. PDF files are often used as vectors for phishing attacks because they are widely regarded as…

密码学与安全 · 计算机科学 2023-08-11 Ran Liu , Charles Nicholas

Malicious PDF files represent one of the biggest threats to computer security. To detect them, significant research has been done using handwritten signatures or machine learning based on manual feature extraction. Those approaches are both…

密码学与安全 · 计算机科学 2020-08-04 Raphael Fettaya , Yishay Mansour

The popularity of the PDF format and the rich JavaScript environment that PDF viewers offer make PDF documents an attractive attack vector for malware developers. PDF documents present a serious threat to the security of organizations…

密码学与安全 · 计算机科学 2018-10-31 Alexander Jordan , François Gauthier , Behnaz Hassanshahi , David Zhao

Most of the online news media outlets rely heavily on the revenues generated from the clicks made by their readers, and due to the presence of numerous such outlets, they need to compete with each other for reader attention. To attract the…

社会与信息网络 · 计算机科学 2016-11-01 Abhijnan Chakraborty , Bhargavi Paranjape , Sourya Kakarla , Niloy Ganguly

Malware still constitutes a major threat in the cybersecurity landscape, also due to the widespread use of infection vectors such as documents. These infection vectors hide embedded malicious code to the victim users, facilitating the use…

密码学与安全 · 计算机科学 2020-04-15 Davide Maiorca , Battista Biggio , Giorgio Giacinto

The use of alluring headlines (clickbait) to tempt the readers has become a growing practice nowadays. For the sake of existence in the highly competitive media industry, most of the on-line media including the mainstream ones, have started…

社会与信息网络 · 计算机科学 2017-03-29 Md Main Uddin Rony , Naeemul Hassan , Mohammad Yousuf

Phishing attacks represents one of the primary attack methods which is used by cyber attackers. In many cases, attackers use deceptive emails along with malicious attachments to trick users into giving away sensitive information or…

Clickbait is a pejorative term describing web content that is aimed at generating online advertising revenue, especially at the expense of quality or accuracy, relying on sensationalist headlines or eye-catching thumbnail pictures to…

计算与语言 · 计算机科学 2017-10-10 Vijayasaradhi Indurthi , Subba Reddy Oota

Malicious PDF documents present a serious threat to various security organizations that require modern threat intelligence platforms to effectively analyze and characterize the identity and behavior of PDF malware. State-of-the-art…

Clickbait (headlines) make use of misleading titles that hide critical information from or exaggerate the content on the landing target pages to entice clicks. As clickbaits often use eye-catching wording to attract viewers, target contents…

计算与语言 · 计算机科学 2017-10-06 Xinyue Cao , Thai Le , Jason , Zhang

Clickbait is deceptive text that can manipulate web browsing, creating an information gap between a link and target page that literally baits a user into clicking. Clickbait detection continues to be well studied, but analyses of clickbait…

社会与信息网络 · 计算机科学 2025-11-21 Austin McCutcheon , Chris Brogly

Malware scanners try to protect users from opening malicious documents by statically or dynamically analyzing documents. However, malware developers may apply evasions that conceal the maliciousness of a document. Given the variety of…

密码学与安全 · 计算机科学 2019-01-23 Saeed Ehteshamifar , Antonio Barresi , Thomas R. Gross , Michael Pradel

Many malware campaigns use Microsoft (MS) Office documents as droppers to download and execute their malicious payload. Such campaigns often use these documents because MS Office is installed in billions of devices and that these files…

密码学与安全 · 计算机科学 2021-03-31 Fran Casino , Nikolaos Totosis , Theodoros Apostolopoulos , Nikolaos Lykousas , Constantinos Patsakis

Due to the popularity of portable document format (PDF) and increasing number of vulnerabilities in major PDF viewer applications, malware writers continue to use it to deliver malware via web downloads, email attachments and other methods…

密码学与安全 · 计算机科学 2018-08-22 Jason Zhang

Clickbaits are catchy headlines that are frequently used by social media outlets in order to allure its viewers into clicking them and thus leading them to dubious content. Such venal schemes thrive on exploiting the curiosity of naive…

计算与语言 · 计算机科学 2018-11-06 Amrith Rajagopal Setlur

Clickbaits are surprising social posts or deceptive news headlines that attempt to lure users for more clicks, which have posted at unprecedented rates for more profit or commercial revenue. The spread of clickbait has significant negative…

计算与语言 · 计算机科学 2024-04-18 Haoxiang Deng , Yi Zhu , Ye Wang , Jipeng Qiang , Yunhao Yuan , Yun Li , Runmei Zhang
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