A Survey of Exploitation and Detection Methods of XSS Vulnerabilities
IEEE Access, 2019 As web applications become more prevalent, web security becomes more and more important. Cross-site scripting vulnerability abbreviated as XSS is a kind of common injection web vulnerability.
Miao Liu +3 more
doaj +1 more source
Cross Site Scripting (XSS) Attack Dataset (2020): Generating Data for Dataset Balancing
, 2020 Real unbalanced datasets for cross-site scripting (XSS ...
Fawaz Mokbal (9455363)
core +1 more source
Machine and Deep Learning-based XSS Detection Approaches: A Systematic Literature Review
Journal of King Saud University: Computer and Information Sciences, 2023 Web applications are paramount tools for facilitating services providing in the modern world. Unfortunately, the tremendous growth in the web application usage has resulted in a rise in cyberattacks. Cross-site scripting (XSS) is one of the most frequent
Isam Kareem Thajeel +3 more
doaj +1 more source
State-Sensitive Black-Box Web Application Scanning for Cross-Site Scripting Vulnerability Detection
Applied Sciences, 2023 Black-box web application scanning has been a popular technique to detect Cross-Site Scripting (XSS) vulnerabilities without prior knowledge of the application. However, several limitations lead to low efficiency of current black-box scanners, including (
Tianxiang Zhang +4 more
doaj +1 more source
CODDLE: Code-Injection Detection With Deep Learning
IEEE Access, 2019 Code Injection attacks such as SQL Injection and Cross-Site Scripting (XSS) are among the major threats for today's web applications and systems. This paper proposes CODDLE, a deep learning-based intrusion detection systems against web-based code ...
Stanislav Abaimov, Giuseppe Bianchi
doaj +1 more source
Providing Email Privacy by Preventing Webmail from Loading Malicious XSS Payloads
Applied Sciences, 2020 With the development of internet technology, email has become the formal communication method in modern society. Email often contains a large amount of personal privacy information, possible business agreements, and sensitive attachments, which make ...
Yong Fang +3 more
doaj +1 more source
Structural Learning of Attack Vectors for Generating Mutated XSS Attacks [PDF]
Electronic Proceedings in Theoretical Computer Science, 2010 Web applications suffer from cross-site scripting (XSS) attacks that resulting from incomplete or incorrect input sanitization. Learning the structure of attack vectors could enrich the variety of manifestations in generated XSS attacks.
Yi-Hsun Wang +2 more
doaj +1 more source
XSS-Dec: A Hybrid Solution to Mitigate Cross-Site Scripting Attacks [PDF]
, 2012 Cross-site scripting attacks represent one of the major security threats in today's Web applications. Current approaches to mitigate cross-site scripting vulnerabilities rely on either server-based or client-based defense mechanisms. Although effective for many attacks, server-side protection mechanisms may leave the client vulnerable if the server is ...
Smitha Sundareswaran +1 more
openaire +1 more source
Application Research of BiLSTM in Cross-Site Scripting Detection
Jisuanji kexue yu tansuo, 2020 At present, machine learning methods are used in the most traditional cross-site scripting (XSS) detection technologies, which have some defects, such as bad readability because of maliciously confused code, insufficient feature extraction and low ...
CHENG Qiqin, WAN Liang
doaj +1 more source
XSS Peeker: A Systematic Analysis of Cross-site Scripting Vulnerability Scanners
CoRR, 2014 Since the first publication of the "OWASP Top 10" (2004), cross-site scripting (XSS) vulnerabilities have always been among the top 5 web application security bugs. Black-box vulnerability scanners are widely used in the industry to reproduce (XSS) attacks automatically.
Enrico Bazzoli +3 more
openaire +2 more sources