• Title/Summary/Keyword: 웹 공격

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Research on Intrusion Detection Visualization using Web Log Data set (웹 로그 데이터셋을 이용한 침입 상태 시각화 방안에 관한 연구)

  • Lee, Su-Young;Koo, Bon-Hyun;Cho, Jae-Ik;Cho, Kyu-Hyung;Moon, Jong-Sub
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2007.02a
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    • pp.134-137
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    • 2007
  • 최근 인터넷 사용이 폭발적으로 증가함과 더불어 웹 어플리케이션에 대한 다양한 공격이 발생하고 있다 이런 다양한 웹 공격에 대해 방어를 위해서는 효율적인 침입탐지가 가능하여야 하며, 이상행위에 대해 신속하고 적절한 정보전달이 필요하다. 다양한 보안 이벤트들에 대한 시각화 시스템은 이를 만족시켜주는 수단이다. 본 논문에서는 선행 연구였던 웹 공격 기법에 대해 분석해보고 시각화 기법을 살펴본 후, 이를 개선하여 기존 시각화 기법으로는 표현하지 못했던 웹 로그 데이터셋에 기초한 웹 이상행위의 시각화기법을 제안한다. 웹 침입탐지 시각화 시스템을 바탕으로 다양한 웹 공격에 대한 시각화 실험결과를 제시한다.

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A Defense Mechanism Based on Session Status against Cookie Replay Attack in Web Applications (웹 애플리케이션에서 세션 상태 기반의 쿠키 재전송 공격 방어 기법)

  • Won, Jong Sun;Park, JiSu;Shon, Jin Gon
    • KIPS Transactions on Computer and Communication Systems
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    • v.4 no.1
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    • pp.31-36
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    • 2015
  • As web accessibility has been easier, security issue becomes much more important in web applications demanding user authentication. Cookie is used to reduce the load of the server from the session in web applications and manage the user information efficiently. However, the cookie containing user information can be sniffed by an attacker. With this sniffed cookie, the attacker can retain the web application session of the lawful user as if the attacker is the lawful user. This kind of attack are called cookie replay attack and it causes serious security problems in web applications. In this paper, we have introduced a mechanism to detect cookie replay attacks and defend them, and verified effectiveness of the mechanism.

A Phishing Attack using Website Fingerprinting on Android Smartphones (안드로이드 스마트폰에서 웹사이트 핑거프린팅을 통한 피싱 공격)

  • Ahn, Woo Hyun;Oh, Yunseok;Pyo, Sang-Jin;Kim, Tae-Soon;Lim, Seung-Ho;Oh, Jaewon
    • Convergence Security Journal
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    • v.15 no.7
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    • pp.9-19
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    • 2015
  • The Android operating system is exposed to a phishing attack of stealing private information that a user enters into a web page. We have discovered two security vulnerabilities of the phishing attack. First, an always-on-top scheme allows malware to place a transparent user interface (UI) on the current top screen and intercept a user input. Second, the Android provides some APIs that allow malware to obtain the information of a currently visited web page. This paper introduces a phishing that attacks a web page by exploiting the two vulnerabilities. The attack detects a visit to a security-relevant web page and steals private information from the web page. Our experiments on popular web sites reveal that the attack is significantly accurate and dangerous.

Study on defense countermeasures against Webshell attacks of the Industrial Information System (산업정보시스템의 웹쉘공격에 대한 방어 대응책 연구)

  • Hong, Sunghyuck
    • Journal of Industrial Convergence
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    • v.16 no.4
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    • pp.47-52
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    • 2018
  • WebShell is a web script file created by a hacker to remotely commands to a web server. The hacker can bypass the security system using the web shell, access the system, control the system such as file modification, copying and deletion, install malicious code in the web source code, attack the user's PC, And so on. There are many types of WebShell attack, but we study about attacks on PHP and JSP based web server which are used as representative ones. And we propose the method of web page management, method of development, and several other methods. By using these countermeasures, it is possible to effectively prevent damage caused by WebShell attacks.

Detection Mechanism of Attacking Web Service DoS using Self-Organizing Map (SOM(Self-Organizing Map)을 이용한 대용량 웹 서비스 DoS 공격 탐지 기법)

  • Lee, Hyung-Woo;Seo, Jong-Won
    • The Journal of the Korea Contents Association
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    • v.8 no.5
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    • pp.9-18
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    • 2008
  • Web-services have originally been devised to share information as open services. In connection with it, hacking incidents have surged. Currently, Web-log analysis plays a crucial clue role in detecting Web-hacking. A growing number of cases are really related to perceiving and improving the weakness of Web-services based on Web-log analysis. Such as this, Web-log analysis plays a central role in finding out problems that Web has. Hence, Our research thesis suggests Web-DoS-hacking detective technique In the process of detecting such problems through SOM algorithm, the emergence frequency of BMU(Best Matching Unit) was studied, assuming the unit with the highest emergence frequency, as abnormal, and the problem- detection technique was recommended through the comparison of what's called BMU as input data.

웹 기반 악성코드 유포공격의 특성 분석

  • Yu, Dae-Hun;Kim, Ji-Sang;Jo, Hye-Seon;Park, Hae-Ryong
    • Information and Communications Magazine
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    • v.31 no.5
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    • pp.15-19
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    • 2014
  • 인터넷의 사용이 증가하며, 웹을 통한 악성코드유포가 주요 위협으로 등장하였다. 본고에서는 인터넷을 통한 악성코드 유포방법 중 가장 대표적 공격방법이 웹 기반 악성코드 유포공격의 특성을 분석한다.

안전한 웹 서비스를 위한 웹 어플리케이션 공격 유형 및 대응 방안 분석

  • Lee, Yong-Ho;Park, Myung-Soo;Yoon, Jun;Yoon, Jung-Won
    • Review of KIISC
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    • v.14 no.4
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    • pp.1-9
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    • 2004
  • 최근 정보통신 기술의 발달에 따라 인터넷을 통해 다양한 서비스를 제공하는 웹 서비스가 보편화되고 있으며 이러한 웹 서비스를 가능하게 하는 핵심 요소가 바로 웹 어플리케이션이다. 웹 서비스는 이러한 여러 웹 어플리케이션들이 상호간에 유기적으로 통합되고 연동됨으로써 구성되어진다. 오늘날, 웹 서비스는 정치, 경제, 사회, 문화 등 모든 부분과 밀접하게 관련되어 우리 생활의 모습을 변화시켜가고 있다. 이에 따라 웹 어플리케이션 보안의 중요성이 부각되고 있으며 이에 대한 연구 개발이 필요하다. 본 고에서는 현재 웹 서비스의 해킹 현황을 살펴보고, 웹 어플리케이션 보안의 문제점과 널리 사용되고 있는 공격 유형을 분석한다. 그리고 웹 어플리케이션을 공격으로부터 보호할 수 있는 대응 방안을 살펴본다.

Web Attack Classification Model Based on Payload Embedding Pre-Training (페이로드 임베딩 사전학습 기반의 웹 공격 분류 모델)

  • Kim, Yeonsu;Ko, Younghun;Euom, Ieckchae;Kim, Kyungbaek
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.4
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    • pp.669-677
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    • 2020
  • As the number of Internet users exploded, attacks on the web increased. In addition, the attack patterns have been diversified to bypass existing defense techniques. Traditional web firewalls are difficult to detect attacks of unknown patterns.Therefore, the method of detecting abnormal behavior by artificial intelligence has been studied as an alternative. Specifically, attempts have been made to apply natural language processing techniques because the type of script or query being exploited consists of text. However, because there are many unknown words in scripts and queries, natural language processing requires a different approach. In this paper, we propose a new classification model which uses byte pair encoding (BPE) technology to learn the embedding vector, that is often used for web attack payloads, and uses an attention mechanism-based Bi-GRU neural network to extract a set of tokens that learn their order and importance. For major web attacks such as SQL injection, cross-site scripting, and command injection attacks, the accuracy of the proposed classification method is about 0.9990 and its accuracy outperforms the model suggested in the previous study.

A Method for Security Strengthening of Web Application using AOP (AOP를 이용한 웹 애플리케이션의 보안성 강화 방안)

  • Sun, Soo-Rim;Lee, Keum-Suck
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.2
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    • pp.119-128
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    • 2009
  • As use of web applications and web-based information systems increases, so web application attacks are increasing. Recently, XSRF(Gross Site Request Forgery) attacks among a variety of web attacks become important because victim's damage caused by such attacks can be severe. But adding security functions for preventing XSRF attacks to existing developed and running software systems could affect move dangerous and expensive to companies and organizations. We suggest effectively adding these security functions to legacy systems, could separate concerns using advantage of the modularity offered by AOP(Aspect-Oriented Programming) methodology. In this paper, we have presented approach for detecting and preventing XSRF in JEE systems using aspect of AOP.

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.