[Snyk] Fix for 2 vulnerabilities

[AdamOswald]

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 `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

transformers 4.30.2 has requirement tokenizers!=0.11.3,<0.14,>=0.11.1, but you have tokenizers 0.14.1.
torch 1.13.1 requires nvidia-cuda-runtime-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.
torch 1.13.1 requires nvidia-cuda-nvrtc-cu11, which is not installed.
tensorboard 2.11.2 requires werkzeug, which is not installed.
tensorboard 2.11.2 has requirement protobuf<4,>=3.9.2, but you have protobuf 4.24.4.
tensorboard 2.11.2 has requirement setuptools>=41.0.0, but you have setuptools 39.0.1.
streamlit 1.23.1 requires tornado, which is not installed.
scikit-learn 1.0.2 requires scipy, which is not installed.
python-igraph 0.11.2 has requirement igraph==0.11.2, but you have igraph 0.10.8.
powerlaw 1.5 requires scipy, which is not installed.
pipenv 2023.10.3 has requirement setuptools>=67, but you have setuptools 39.0.1.
paddlenlp 2.6.1 requires seqeval, which is not installed.
paddlenlp 2.6.1 has requirement dill<0.3.5, but you have dill 0.3.7.
paddlenlp 2.6.1 has requirement protobuf==3.20.2, but you have protobuf 4.24.4.
paddlenlp 2.6.1 has requirement multiprocess<=0.70.12.2, but you have multiprocess 0.70.15.
paddle2onnx 0.9.5 has requirement onnx<=1.9.0, but you have onnx 1.14.1.
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.
Flask 2.2.5 requires Werkzeug, which is not installed.
filterpy 1.4.5 requires scipy, which is not installed.
facexlib 0.3.0 requires scipy, which is not installed.
datasets 2.13.2 has requirement dill<0.3.7,>=0.3.0, but you have dill 0.3.7.
botocore 1.31.76 has requirement urllib3<1.27,>=1.25.4; python_version < "3.10", but you have urllib3 2.0.7.

Vulnerabilities that will be fixed

By pinning:

Severity	Priority Score (*)	Issue	Upgrade	Breaking Change	Exploit Maturity
	611/1000 Why? Recently disclosed, Has a fix available, CVSS 6.5	HTTP Request Smuggling SNYK-PYTHON-TORNADO-6041512	tornado: 6.2 -> 6.3.3	No	No Known Exploit
	661/1000 Why? Recently disclosed, Has a fix available, CVSS 7.5	Denial of Service (DoS) SNYK-PYTHON-WERKZEUG-6041510	werkzeug: 2.2.3 -> 3.0.1	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:
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📚 Read more about Snyk's upgrade and patch logic

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Learn how to fix vulnerabilities with free interactive lessons:

🦉 Denial of Service (DoS)

[secure-code-warrior-for-github]

Micro-Learning Topic: Denial of service (Detected by phrase)

Matched on "Denial of Service"

The Denial of Service (DoS) attack is focused on making a resource (site, application, server) unavailable for the purpose it was designed. There are many ways to make a service unavailable for legitimate users by manipulating network packets, programming, logical, or resources handling vulnerabilities, among others. Source: https://www.owasp.org/index.php/Denial_of_Service

Try a challenge in Secure Code Warrior

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Total files changed: 1

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.txt : +0 -0

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