Skip to content

[Snyk] Security upgrade tornado from 6.2 to 6.3.2#22

Open
snyk-bot wants to merge 1 commit intomainfrom
snyk-fix-eb94bfa111557439fa0ed29878b9612e
Open

[Snyk] Security upgrade tornado from 6.2 to 6.3.2#22
snyk-bot wants to merge 1 commit intomainfrom
snyk-fix-eb94bfa111557439fa0ed29878b9612e

Conversation

@snyk-bot
Copy link
Contributor

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

Changes included in this PR

  • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
    • requirements.txt
⚠️ Warning
visualdl 2.5.2 has requirement paddle2onnx>=1.0.5, but you have paddle2onnx 0.9.5.
visualdl 2.5.2 has requirement gradio==3.11.0, but you have gradio 3.30.0.
torch 1.13.1 requires nvidia-cuda-runtime-cu11, which is not installed.
torch 1.13.1 requires nvidia-cuda-nvrtc-cu11, which is not installed.
torch 1.13.1 requires nvidia-cudnn-cu11, which is not installed.
torch 1.13.1 requires nvidia-cublas-cu11, which is not installed.
tensorboard 2.11.2 has requirement setuptools>=41.0.0, but you have setuptools 39.0.1.
streamlit 1.22.0 requires tornado, which is not installed.
streamlit 1.22.0 has requirement altair<5,>=3.2.0, but you have altair 5.0.0.
scikit-learn 1.0.2 requires scipy, which is not installed.
powerlaw 1.5 requires scipy, which is not installed.
pipenv 2023.4.29 has requirement setuptools>=67.0.0, but you have setuptools 39.0.1.
paddlepaddle 2.4.2 has requirement protobuf<=3.20.0,>=3.1.0, but you have protobuf 3.20.3.
paddlenlp 2.5.2 has requirement dill<0.3.5, but you have dill 0.3.6.
paddlenlp 2.5.2 has requirement multiprocess<=0.70.12.2, but you have multiprocess 0.70.14.
paddle2onnx 0.9.5 has requirement onnx<=1.9.0, but you have onnx 1.14.0.
openvino 2021.4.2 has requirement numpy<1.20,>=1.16.6, but you have numpy 1.21.3.
onnxruntime 1.14.1 has requirement numpy>=1.21.6, but you have numpy 1.21.3.
onnxruntime-gpu 1.14.1 has requirement numpy>=1.21.6, but you have numpy 1.21.3.
lpips 0.1.4 requires scipy, which is not installed.
google-auth 2.18.0 has requirement urllib3<2.0, but you have urllib3 2.0.2.
filterpy 1.4.5 requires scipy, which is not installed.
facexlib 0.3.0 requires scipy, which is not installed.
botocore 1.29.135 has requirement urllib3<1.27,>=1.25.4, but you have urllib3 2.0.2.

Vulnerabilities that will be fixed

By pinning:
Severity Priority Score (*) Issue Upgrade Breaking Change Exploit Maturity
medium severity 556/1000
Why? Recently disclosed, Has a fix available, CVSS 5.4
Open Redirect
SNYK-PYTHON-TORNADO-5537286
tornado:
6.2 -> 6.3.2
No No Known Exploit

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

Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

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:

🦉 Open Redirect

The following vulnerabilities are fixed by pinning transitive dependencies:
- https://snyk.io/vuln/SNYK-PYTHON-TORNADO-5537286
@sonarqubecloud
Copy link

Kudos, SonarCloud Quality Gate passed!    Quality Gate passed

Bug A 0 Bugs
Vulnerability A 0 Vulnerabilities
Security Hotspot A 0 Security Hotspots
Code Smell A 0 Code Smells

No Coverage information No Coverage information
No Duplication information No Duplication information

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant