Detection of Malicious Url Redirection and Distribution
نویسندگان
چکیده
Web-based malicious software (malware) has been increasing over the Internet .It poses threats to computer users through web sites. Computers are infected with Web-based malware by drive-by-download attacks. Drive-by-download attacks force users to download and install the Web-based malware without being aware of it .these attacks evade detection by using automatic redirections to various websites. It is difficult to detect these attacks because each redirection uses the obfuscation technique. This paper analyzes the HTTP communication data of drive-by-download attacks. The results show significant features of the malicious redirections that are used effectively when we detect malware. Key Terms: Web-based malware; drive-by-download attacks; packet capturing
منابع مشابه
Feature-based Malicious URL and Attack Type Detection Using Multi-class Classification
Nowadays, malicious URLs are the common threat to the businesses, social networks, net-banking etc. Existing approaches have focused on binary detection i.e. either the URL is malicious or benign. Very few literature is found which focused on the detection of malicious URLs and their attack types. Hence, it becomes necessary to know the attack type and adopt an effective countermeasure. This pa...
متن کاملSuspicious URL detection system using SGD Algorithm for twitter stream
Twitter is a one of the most popular social networking site used by millions of people in the world. As the usage growing rapidly in the recent years, attackers are concentrating more on twitter to gather personnel data and made changes to. It leads to the diminishing the privacy of the users. The attacker tweets suspicious URLs on the user’s timeline. These URLs contains spam, phishing and mal...
متن کاملWarningBird: Detecting Suspicious URLs in Twitter Stream
Twitter can suffer from malicious tweets containing suspicious URLs for spam, phishing, and malware distribution. Previous Twitter spam detection schemes have used account features such as the ratio of tweets containing URLs and the account creation date, or relation features in the Twitter graph. Malicious users, however, can easily fabricate account features. Moreover, extracting relation fea...
متن کاملMail_Alert: Online Suspicious URL Detection of Tweets from Twitter Public Timeline
Twitter, a famous social networking site where thousands of users use it to tweet to the world, is prone to spam, phishing, and malware distribution. Tweets are the atomic building blocks of Twitter, 140-character status updates with additional associated metadata. People tweet for a variety of reasons about a multitude of topics. Traditional spam detection scheme for twitter are ineffective ag...
متن کاملA Domain-Agnostic Approach to Spam-URL Detection via Redirects
Web services like social networks, video streaming sites, etc. draw numerous viewers daily. This popularity makes them attractive targets for spammers to distribute hyperlinks to malicious content. In this work we propose a new approach for detecting spam URLs on the Web. Our key idea is to leverage the properties of URL redirections widely deployed by spammers. We combine the redirect chains i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013