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[Snyk] Security upgrade tensorflow/tensorflow from latest to 2.16.1 #349
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The following vulnerabilities are fixed with an upgrade: - https://snyk.io/vuln/SNYK-UBUNTU2204-BINUTILS-5855103 - https://snyk.io/vuln/SNYK-UBUNTU2204-GNUTLS28-6172197 - https://snyk.io/vuln/SNYK-UBUNTU2204-GNUTLS28-6172710 - https://snyk.io/vuln/SNYK-UBUNTU2204-PYTHONCRYPTOGRAPHY-6097842 - https://snyk.io/vuln/SNYK-UBUNTU2204-PYTHONCRYPTOGRAPHY-6126749
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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 Try a challenge in Secure Code Warrior |
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WalkthroughThe 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
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Unable to verify url with installation ID |
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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
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!
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
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:
SNYK-UBUNTU2204-BINUTILS-5855103
SNYK-UBUNTU2204-GNUTLS28-6172197
SNYK-UBUNTU2204-GNUTLS28-6172710
SNYK-UBUNTU2204-PYTHONCRYPTOGRAPHY-6097842
SNYK-UBUNTU2204-PYTHONCRYPTOGRAPHY-6126749
Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.
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🦉 Memory Leak
🦉 NULL Pointer Dereference
Summary by CodeRabbit