Open AdamOswald opened 1 year ago
Unable to locate .performanceTestingBot config file
This vulnerability refers to the ability of an attacker to arbitrarily perform a redirection (external) or forward (internal) against the system. It arises due to insufficient validation or sanitisation of inputs used to perform a redirect or forward and may result in privilege escalation (in the case of a forward) or may be used to launch phishing attacks against users (in the case of redirects).
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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
``` visualdl 2.5.2 has requirement gradio==3.11.0, but you have gradio 3.30.0. visualdl 2.5.2 has requirement paddle2onnx>=1.0.5, but you have paddle2onnx 0.9.5. 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-cuda-runtime-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. ```**Why?** Recently disclosed, Has a fix available, CVSS 5.4 | Open Redirect
[SNYK-PYTHON-TORNADO-5537286](https://snyk.io/vuln/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: