Reproducibility and Replicability of Web Measurement Studies

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Machine Learning Reproducibility-and-Replicability-of-Web-Measurement-Studies
Overview

Reproducibility and Replicability of Web Measurement Studies

This repository holds additional material to the paper "Reproducibility and Replicability of Web Measurement Studies" submitted to the ACM Web Conference 2022.

The repository is organized as follows:

  • In 01_Plots, one finds all codes and the underlying data used to produce the plots in the paper
  • In 02_Data, we provide a link to the raw measurement results.
  • In 03_Framework, one can find the framework we used for our measurement study.
  • In 04_Paper_Survey, we provide a listing of all analyzed papers.
  • Finally, in 05_misc, we provide further data (e.g., the used EasyList, list of visited pages).
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    CVE-2007-4559 Patch

    Patching CVE-2007-4559

    Hi, we are security researchers from the Advanced Research Center at Trellix. We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a 15 year old bug in the Python tarfile package. By using extract() or extractall() on a tarfile object without sanitizing input, a maliciously crafted .tar file could perform a directory path traversal attack. We found at least one unsantized extractall() in your codebase and are providing a patch for you via pull request. The patch essentially checks to see if all tarfile members will be extracted safely and throws an exception otherwise. We encourage you to use this patch or your own solution to secure against CVE-2007-4559. Further technical information about the vulnerability can be found in this blog.

    If you have further questions you may contact us through this projects lead researcher Kasimir Schulz.

    opened by TrellixVulnTeam 0
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