• Title/Summary/Keyword: WebShell attack

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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.

A Study of Web Site Hacking Through Vulnerability Analysis (취약점 분석을 통한 Web Site 해킹 연구)

  • Song, Jin-Young;Park, Dea-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.303-306
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    • 2010
  • Personal information being leaked, and personal assets that through a malicious web site for hackers to exploit. Other confidential information via the web site of the country, and your personal information by illegally accessing the data has been obtained who Hacker forces are operating in some countries. Due to the problem of web site management has many vulnerabilities that web sites, as well as programs. In this paper, in the trend world, as well as domestic XSS, SQL Injection, Web Shell analysis of the vulnerability to attacks and XSS, SQL Injection, Web Shell is a direct attack to attack. Security measures are presented what after the attack demonstrated the hack to data collection, analysis. In this study, web site management, web site security and safety can be improved and research will contribute.

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A study on machine learning-based defense system proposal through web shell collection and analysis (웹쉘 수집 및 분석을 통한 머신러닝기반 방어시스템 제안 연구)

  • Kim, Ki-hwan;Shin, Yong-tae
    • Journal of Internet Computing and Services
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    • v.23 no.4
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    • pp.87-94
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    • 2022
  • Recently, with the development of information and communication infrastructure, the number of Internet access devices is rapidly increasing. Smartphones, laptops, computers, and even IoT devices are receiving information and communication services through Internet access. Since most of the device operating environment consists of web (WEB), it is vulnerable to web cyber attacks using web shells. When the web shell is uploaded to the web server, it is confirmed that the attack frequency is high because the control of the web server can be easily performed. As the damage caused by the web shell occurs a lot, each company is responding to attacks with various security devices such as intrusion prevention systems, firewalls, and web firewalls. In this case, it is difficult to detect, and in order to prevent and cope with web shell attacks due to these characteristics, it is difficult to respond only with the existing system and security software. Therefore, it is an automated defense system through the collection and analysis of web shells based on artificial intelligence machine learning that can cope with new cyber attacks such as detecting unknown web shells in advance by using artificial intelligence machine learning and deep learning techniques in existing security software. We would like to propose about. The machine learning-based web shell defense system model proposed in this paper quickly collects, analyzes, and detects malicious web shells, one of the cyberattacks on the web environment. I think it will be very helpful in designing and building a security system.

A Study on Secure Digital Convergence Curation System to WebShell (웹셀에 안전한 디지털 융합 큐레이션 시스템에 관한 연구)

  • Shin, Seung-Soo;Kim, Jung-In;Lee, Jun-Yeon
    • Journal of the Korea Convergence Society
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    • v.6 no.4
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    • pp.187-195
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    • 2015
  • In the knowledge and information society which came into being with the advancements made in information and communication technology, there is an increasing perception of the importance of having knowledge and therefore being able to appropriately respond to the rapidly-changing society. Along with this, for the paradigm that stresses creativity and character, there must accompany advanced ways of conducting education which are capable of supporting changes in the educational objectives and contents. With respect to this, there is a need for sustained and long-term research into ways of utilizing SNS and ICT in the field of education. Accordingly, in this paper, a digital curation system was developed for educational contents that aim to develop one's creativity and character. Recently, web hacking is taking place actively. In this paper, a digital curation system that is secure against WebShell - one of the web hacking methods - is analyzed, as well as how to appropriately deal with this type of an attack.

Proposal and empirical study of web shell detection system (MWSDS) applying machine learning-based supervised learning and classification (머신러닝기반의 지도학습과 분류 알고리즘을 적용한 웹쉘 탐지시스템(MWSDS)제안 연구)

  • Ki-hwan Kim;Sangdo Lee;Yongtae Shin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.49-50
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    • 2024
  • 본 논문에서는 웹쉘 악성코드를 정확하게 분류하고, 빠른시간안에 자동으로 웹쉘 분류 및 분석을 통하여 웹쉘을 탐지하기 위하여 인공지능 머신러닝 기반의 Supervised AI ML 및 Classification 알고리즘을 적용하여 빠른 시간안에 분류, 정확한 분석을 통하여 자동화된 탐지시스템인 MWSDS를 제안하고 웹쉘 실험 데이터를 통하여 실증하였다. 본제안의 경우 웹쉘악성코드 공격에 대한 대응뿐만아니라 관리적인 정보보호 체계수립을 통하여 보다 효과적이며, 지속적으로 대응할 수 있을 것으로 전망된다.

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Detecting ShellCode Using Entropy (엔트로피를 이용한 ShellCode 탐지 방법)

  • Kim, Woosuk;Kang, Sunghoon;Kim, Kyungshin;Kim, Seungjoo
    • KIPS Transactions on Computer and Communication Systems
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    • v.3 no.3
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    • pp.87-96
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    • 2014
  • Hackers try to achieve their purpose in a variety of ways, such as operating own website and hacking a website. Hackers seize a large amount of private information after they have made a zombie PC by using malicious code to upload the website and it would be used another hacking. Almost detection technique is the use Snort rule. When unknown code and the patterns in IDS/IPS devices are matching on network, it detects unknown code as malicious code. However, if unknown code is not matching, unknown code would be normal and it would attack system. Hackers try to find patterns and make shellcode to avoid patterns. So, new method is needed to detect that kinds of shellcode. In this paper, we proposed a noble method to detect the shellcode by using Shannon's information entropy.