[Snyk] Security upgrade node from 12.19.0-buster-slim to 12.22.12-buster-slim

[ekmixon]

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

Keeping your Docker base image up-to-date means you’ll benefit from security fixes in the latest version of your chosen image.

Changes included in this PR

• scripts/build/ci-e2e/Dockerfile

We recommend upgrading to node:12.22.12-buster-slim, as this image has only 73 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Some of the most important vulnerabilities in your base image include:

Severity	Priority Score / 1000	Issue	Exploit Maturity
	514	Integer Overflow or Wraparound SNYK-DEBIAN10-APT-1049974	No Known Exploit
	500	Use After Free SNYK-DEBIAN10-GNUTLS28-1085097	No Known Exploit
	514	Use of a Broken or Risky Cryptographic Algorithm SNYK-DEBIAN10-LIBGCRYPT20-1582894	No Known Exploit
	500	Out-of-bounds Write SNYK-DEBIAN10-LZ4-1277601	No Known Exploit
	511	Out-of-bounds Write SNYK-DEBIAN10-ZLIB-2433934	No Known Exploit

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[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!

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Quantification details

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

Total files changed: 1

Change summary by file extension:
scripts/build/ci-e2e/Dockerfile : +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 detetcted.
• 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.

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[secure-code-warrior-for-github]

Micro-Learning Topic: Integer overflow (Detected by phrase)

Matched on "Integer Overflow"

What is this? (2min video)

Integer overflow occurs when the result of arithmetic operation is greater than the maximum value the integer data type can store.
For example, if an integer data type allows integers up to two bytes or 16 bits in length (or an unsigned number up to decimal 65,535), and two integers are to be added together that will exceed the value of 65,535, the result will be integer overflow.

Try this challenge in Secure Code Warrior

Micro-Learning Topic: Use-after-free (Detected by phrase)

Matched on "Use After Free"

What is this? (2min video)

Dereferencing pointers to objects that have already been freed opens the door to execution of arbitrary code. Attackers may be able to insert instructions at the freed memory location in order to trigger the exploit when the pointer is used after the memory has been freed.

Try this challenge in Secure Code Warrior