• Journal of Information Processing Systems
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• v.11 no.2
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• pp.229-238
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• 2015

Web shells are programs that are written for a specific purpose in Web scripting languages, such as PHP, ASP, ASP.NET, JSP, PERL-CGI, etc. Web shells provide a means to communicate with the server's operating system via the interpreter of the web scripting languages. Hence, web shells can execute OS specific commands over HTTP. Usually, web attacks by malicious users are made by uploading one of these web shells to compromise the target web servers. Though there have been several approaches to detect such malicious web shells, no standard dataset has been built to compare various web shell detection techniques. In this paper, we present a collection of web shell files, WebSHArk 1.0, as a standard dataset for current and future studies in malicious web shell detection. To provide baseline results for future studies and for the improvement of current tools, we also present some benchmark results by scanning the WebSHArk dataset directory with three web shell scanning tools that are publicly available on the Internet. The WebSHArk 1.0 dataset is only available upon request via email to one of the authors, due to security and legal issues.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.81-87
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• 2015

Recently, with the development of the ICT environment, the use of the software is growing rapidly. And the number of the web server software used with a variety of users is also growing. However, There are also various damage cases increased due to a software security vulnerability as software usage is increasing. Especially web shell hacking which abuses software vulnerabilities accounts for a very high percentage. These web server environment damage can induce primary damage such like homepage modification for malware spreading and secondary damage such like privacy. Source code weaknesses checking system is needed during software development stage and operation stage in real-time to prevent software vulnerabilities. Also the system which can detect and determine web shell from checked code in real time is needed. Therefore, in this paper, we propose the system improving security for web server by detecting web shell attacks which are invisible to existing detection method such as Firewall, IDS/IPS, Web Firewall, Anti-Virus, etc. while satisfying existing secure coding guidelines from development stage to operation stage.

• 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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.121-122
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• 2019

본 논문에서는 웹쉘을 탐지하기 위한 방법 중 하나로 슬라이딩윈도우 기반 머신러닝을 활용하는 방안을 제안하고자 한다. 웹 공격에 많이 활용되는 웹쉘의 탐지를 위하여 제안하는 슬라이딩윈도우 기반의 탐지 기법은 시간이 지남에 따라 발전해가는 웹쉘 탐지 우회 기술에 대응하여 보다 정확한 탐지를 제공하는 기술이며, 이를 기반으로 웹쉘의 다양한 변종 또한 탐지할 수 있다. 본제안의 경우 코드의 부분별 위험도를 측정 및 제공하여 보다 효과적으로 대응할 수 있을 것으로 전망된다.

• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1468-1471
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• 2012

It is always a dream to recreate the experience of a particular place, the Panorama Virtual Reality has been interpreted as a kind of technology to create virtual environments and the ability to maneuver angle for and select the path of view in a dynamic scene. In this paper we examined an efficient algorithm for Image registration and stitching of captured imaged from a video stream. Two approaches are studied in this paper. First, dynamic programming is used to spot the ideal key points, match these points to merge adjacent images together, later image blending is use for smooth color transitions. In second approach, FAST and SURF detection are used to find distinct features in the images and a nearest neighbor algorithm is used to match corresponding features, estimate homography with matched key points using RANSAC. The paper also covers the automatically choosing (recognizing, comparing) images to stitching method.