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[Snyk] Security upgrade tensorflow/tensorflow from latest to 2.16.1 #349

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@AdamOswald AdamOswald commented Mar 10, 2024

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

  • Dockerfile.cpu

We recommend upgrading to tensorflow/tensorflow:2.16.1, as this image has only 40 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
medium severity 514 Memory Leak
SNYK-UBUNTU2204-BINUTILS-5855103
No Known Exploit
medium severity 514 Information Exposure
SNYK-UBUNTU2204-GNUTLS28-6172197
No Known Exploit
medium severity 514 Improper Verification of Cryptographic Signature
SNYK-UBUNTU2204-GNUTLS28-6172710
No Known Exploit
medium severity 514 NULL Pointer Dereference
SNYK-UBUNTU2204-PYTHONCRYPTOGRAPHY-6097842
No Known Exploit
medium severity 514 Information Exposure
SNYK-UBUNTU2204-PYTHONCRYPTOGRAPHY-6126749
No Known Exploit

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


Learn how to fix vulnerabilities with free interactive lessons:

🦉 Memory Leak
🦉 NULL Pointer Dereference

Summary by CodeRabbit

  • Chores
    • Updated TensorFlow to version 2.16.1 in the Dockerfile to ensure compatibility.
    • Added a comment in the Dockerfile to disable prompts for input during setup.

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Micro-Learning Topic: Information disclosure (Detected by phrase)

Matched on "Information Exposure"

Many web applications and APIs do not properly protect sensitive data, such as financial, healthcare, and PII. Attackers may steal or modify such weakly protected data to conduct credit card fraud, identity theft, or other crimes. Sensitive data may be compromised without extra protection, such as encryption at rest or in transit, and requires special precautions when exchanged with the browser. Source: https://www.owasp.org/index.php/Category:OWASP_Top_Ten_Project

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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: 1

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

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

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coderabbitai bot commented Mar 10, 2024

Walkthrough

The Dockerfile update signifies a cautious approach towards TensorFlow version selection, opting for 2.16.1 over the latest, possibly for stability or compatibility reasons. Additionally, it introduces a method to streamline the setup process by minimizing user interaction, enhancing the automation of Docker container deployment.

Changes

File Path Change Summary
Dockerfile.cpu Updated TensorFlow to 2.16.1; added comment on disabling input prompts

Related issues

🐇 A whimsical note from a coding hare,
With TensorFlow updates, we show that we care.
No prompts to delay, no time to despair,
In Docker containers, our code we prepare.
🚀 To the future, we leap, with nary a snare,
With security in mind, a much safer affair.
Let's hop to it, with flair beyond compare!

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Unable to verify url with installation ID

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difflens bot commented Mar 10, 2024

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sonarcloud bot commented Mar 10, 2024

Quality Gate Passed Quality Gate passed

Issues
0 New issues
0 Accepted issues

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No data about Coverage
0.0% Duplication on New Code

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We have skipped reviewing this pull request. All of the files appear to be ones we're not sure how to review. We're working on it!

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Review Status

Actionable comments generated: 0

Configuration used: CodeRabbit UI

Commits Files that changed from the base of the PR and between 8cddd9f and 6a89429.
Files selected for processing (1)
  • Dockerfile.cpu (1 hunks)
Additional comments: 4
Dockerfile.cpu (4)
  • 1-1: The update to TensorFlow version 2.16.1 is a positive change for enhancing security by addressing known vulnerabilities. Good choice!
  • 3-3: Setting ENV DEBIAN_FRONTEND noninteractive is a good practice to disable interactive prompts during the build process. Well done!
  • 1-4: > 📝 NOTE

This review was outside the diff hunks, and no overlapping diff hunk was found. Original lines [5-11]

The package management steps are well-structured, ensuring a clean and efficient build. However, ensure that the addition of the jonathonf/ffmpeg-4 PPA is necessary and aligns with the project's requirements.

  • 1-4: > 📝 NOTE

This review was outside the diff hunks, and no overlapping diff hunk was found. Original lines [12-14]

The Python package installation and cleanup process is well-handled, contributing to a clean and efficient Docker image. Nicely done!

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