CryptoJacking Data (including raw HTML/JS files)
收藏DataCite Commons2020-08-01 更新2025-04-16 收录
下载链接:
https://pure.qub.ac.uk/en/datasets/cryptojacking-data-including-raw-htmljs-files(ea782cda-b3ac-4fc3-b78b-c81324453280).html
下载链接
链接失效反馈官方服务:
资源简介:
This dataset contains the results and raw data taken from (i) the paper "MANiC: Multi-step Assessment for Crypto-miners". The dataset was also used in (ii) the paper "Detecting Cryptomining Using Dynamic Analysis. Both of these papers are linked to this record. The data was collected from the Alexa top 1 million websites (as indexed by Censys) in July 2018. * Password for any ZIP folders is: "infected." Note that some files are password protected e.g. Script Script files, Chrome HTML documents etc. Files ---------------------- benign.txt - List of URLs with no miners detected malicious.txt - List of URLs identified for mining scripts suspicious.txt - List of suspicious URLs (no miner was detected but a suspicious keyword was found - keyword is the first column) failed.txt - List of URLs that failed to run through Scrapy log.txt - Log from Scrapy output results.json - Results of parsed mining scripts in JSON format results.db - Results of parsed mining scripts in SQLite format html.zip - HTML files of sites hosting mining scripts scripts.zip - JavaScript files holding the extracted mining scripts (from the HTML files) manual analysis - Analysis of results, reasons why sites were correctly/incorrectly labelled malicious/suspicious Any questions about this dataset or my paper email: jburgess03@qub.ac.uk
提供机构:
Queen's University Belfast
创建时间:
2020-04-20



