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[Snyk] Security upgrade resolve-url-loader from 3.1.2 to 4.0.0 #7

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This PR was automatically created by Snyk using the credentials of a real user.


Snyk has created this PR to fix one or more vulnerable packages in the `npm` dependencies of this project.

Changes included in this PR

  • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
    • package.json
    • package-lock.json

Vulnerabilities that will be fixed

With an upgrade:
Severity Priority Score (*) Issue Breaking Change Exploit Maturity
medium severity 551/1000
Why? Recently disclosed, Has a fix available, CVSS 5.3
Regular Expression Denial of Service (ReDoS)
SNYK-JS-LOADERUTILS-3105943
Yes No Known Exploit

(*) Note that the real score may have changed since the PR was raised.

Check the changes in this PR to ensure they won't cause issues with your project.


Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information:
🧐 View latest project report

🛠 Adjust project settings

📚 Read more about Snyk's upgrade and patch logic


Learn how to fix vulnerabilities with free interactive lessons:

🦉 Regular Expression Denial of Service (ReDoS)

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Unable to locate .performanceTestingBot config file

@pull-request-quantifier-deprecated

This PR has 2 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Extra Small
Size       : +1 -1
Percentile : 0.8%

Total files changed: 2

Change summary by file extension:
.json : +1 -1

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

  • Fast and predictable releases to production:
    • Optimal size changes are more likely to be reviewed faster with fewer
      iterations.
    • Similarity in low PR complexity drives similar review times.
  • Review quality is likely higher as complexity is lower:
    • Bugs are more likely to be detected.
    • Code inconsistencies are more likely to be detected.
  • Knowledge sharing is improved within the participants:
    • Small portions can be assimilated better.
  • Better engineering practices are exercised:
    • Solving big problems by dividing them in well contained, smaller problems.
    • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

  • Use the PullRequestQuantifier to quantify your PR accurately
    • Create a context profile for your repo using the context generator
    • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
    • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
    • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
  • Change your engineering behaviors
    • For PRs that fall outside of the desired spectrum, review the details and check if:
      • Your PR could be split in smaller, self-contained PRs instead
      • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

  • One line was added: +1 -0
  • One line was deleted: +0 -1
  • One line was modified: +1 -1 (git diff doesn't know about modified, it will
    interpret that line like one addition plus one deletion)
  • Change percentiles: Change characteristics (addition, deletion, modification)
    of this PR in relation to all other PRs within the repository.


Was this comment helpful? 👍  :ok_hand:  :thumbsdown: (Email)
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@vizipi
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vizipi bot commented Nov 16, 2022

Pull request analysis by VIZIPI

Below you will find who is the most qualified team member to review your code.
This analysis includes his/her work on the code included in this Pull request, in addition to their experience in code affected by these changes ( partly found within the list of potential missing files below )   Feedback always welcome

No other active qualified developers found to review these specific changes. You might consider involving more team members with these code segments.


Potential missing files from this Pull request

No commonly committed files found with a 40% threashold


Committed file ranks

(click to expand)
  • 100.00%[package.json]
  • 99.99%[package-lock.json]
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