• Title/Summary/Keyword: 좀비 PC

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Studying on Expansion of Realtime Blocking List Conception for Spam E-mail Filtering (스팸 메일 차단을 위한 RBL개념의 확장에 관한 연구)

  • Kim, Jong-Min;Kim, Hion-Gun;Kim, Bong-Gi
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.10
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    • pp.1808-1814
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    • 2008
  • In addition to RBL function, which is used to applying for spam e-mail filtering, as an effective way to deal with the recently widespread spam types, this paper proposes how to extract URL that was comprised in the original e-mail, apply it to RBL, and expand it. The BotNet, which is used to using for sending spam mails these days, has a problem that it is not able to solve with the distributed addresses of sent mails in spam e-mails. In general, as these spam e-mails are sent from the infected Zombi PC of individual user, the sent address itself is not efficient and is meaningless to use in RBL. As an effective way to filter spam e-mail sent by BotNet, this paper analyzes URLs that contained in the original spam e-mail and proposes how to effectively improve filter rate, based on the distribution data of URL site tempting users. This paper proposes the sending mechanism of spam e-mails from BotNet and the methods to realize those types of spam e-mails. In order to gather analyzable spam e-mails, this paper also carries out an experiment by configuring trap system of spam e-mail. By analyzing spam e-mails, which have been received during the certain period of experiment, this paper shows that the expanded RBL method, using URLs that contained in spam e-mails, is effective way to improve the filter distribution of spam e-mail.

A Study on the Detection of Malware That Extracts Account IDs and Passwords on Game Sites and Possible Countermeasures Through Analysis (게임 사이트의 계정과 비밀번호 유출 악성코드 분석을 통한 탐지 및 대응방안 연구)

  • Lee, Seung-Won;Roh, Young-Sup;Kim, Woo-Suk;Lee, Mi-Hwa;Han, Kook-Il
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.2
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    • pp.283-293
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    • 2012
  • A new type of malware that extracts personal and account data over an extended period of time and that apparently is resistant to detection by vaccines has been identified. Generally, a malware is installed on a computer through network-to-network connections by utilizing Web vulnerabilities that contain injection, XSS, broken authentication and session management, or insecure direct-object references, among others. After the malware executes registration of an arbitrary service and an arbitrary process on a computer, it then periodically communicates the collected confidential information to a hacker. This paper is a systematic approach to analyzing a new type of malware called "winweng," a kind of worm that frequently made appearances during the first half of 2011. The research describes how the malware came to be in circulation, how it infects computers, how its operations expose its existence and suggests improvements in responses and countermeasures. Keywords: Malware, Worm, Winweng, SNORT.

Research on Malicious code hidden website detection method through WhiteList-based Malicious code Behavior Analysis (WhiteList 기반의 악성코드 행위분석을 통한 악성코드 은닉 웹사이트 탐지 방안 연구)

  • Ha, Jung-Woo;Kim, Huy-Kang;Lim, Jong-In
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.4
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    • pp.61-75
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    • 2011
  • Recently, there is significant increasing of massive attacks, which try to infect PCs that visit websites containing pre-implanted malicious code. When visiting the websites, these hidden malicious codes can gain monetary profit or can send various cyber attacks such as BOTNET for DDoS attacks, personal information theft and, etc. Also, this kind of malicious activities is continuously increasing, and their evasion techniques become professional and intellectual. So far, the current signature-based detection to detect websites, which contain malicious codes has a limitation to prevent internet users from being exposed to malicious codes. Since, it is impossible to detect with only blacklist when an attacker changes the string in the malicious codes proactively. In this paper, we propose a novel approach that can detect unknown malicious code, which is not well detected by a signature-based detection. Our method can detect new malicious codes even though the codes' signatures are not in the pattern database of Anti-Virus program. Moreover, our method can overcome various obfuscation techniques such as the frequent change of the included redirection URL in the malicious codes. Finally, we confirm that our proposed system shows better detection performance rather than MC-Finder, which adopts pattern matching, Google's crawling based malware site detection, and McAfee.

Implementation and Validation of the Web DDoS Shelter System(WDSS) (웹 DDoS 대피소 시스템(WDSS) 구현 및 성능검증)

  • Park, Jae-Hyung;Kim, Kang-Hyoun
    • KIPS Transactions on Computer and Communication Systems
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    • v.4 no.4
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    • pp.135-140
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    • 2015
  • The WDSS improves defensive capacity against web application layer DDoS attack by using web cache server and L7 switch which are added on the DDoS shelter system. When web DDoS attack occurs, security agents divert traffic from backbone network to sub-network of the WDSS and then DDoS protection device and L7 switch block abnormal packets. In the meantime, web cache server responds only to requests of normal clients and maintains stable web service. In this way, the WDSS can counteract the web DDoS attack which generates small traffic and depletes server-client session resource. Furthermore, the WDSS does not require IP tunneling because it is not necessary to retransfer the normal requests to original web server. In this paper, we validate operation of the WDSS and verify defensive capability against web application layer DDoS attacks. In order to do this, we built the WDSS on backbone network of an ISP. And we performed web DDoS tests by using a testing system that consists of zombie PCs. The tests were performed by three types and various amounts of web DDoS attacks. Test results suggest that the WDSS can detect small traffic of the web DDoS attacks which do not have repeat flow whereas the formal DDoS shelter system cannot.