hearbenchmark / hear-baseline

Simple baseline model for the HEAR benchmark
https://hearbenchmark.com
Apache License 2.0
23 stars 8 forks source link

[Snyk] Security upgrade tensorflow from 2.11.0 to 2.12.0rc1 #87

Open turian opened 8 months ago

turian commented 8 months ago

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 ``` torchopenl3 1.0.1 requires scipy, which is not installed. torchopenl3 1.0.1 has requirement resampy<0.3.0,>=0.2.1, but you have resampy 0.4.3. torchcrepe 0.0.22 requires scipy, which is not installed. speechbrain 1.0.0 requires scipy, which is not installed. scikit-learn 1.0.2 requires scipy, which is not installed. resampy 0.4.3 has requirement numba>=0.53, but you have numba 0.48.0. nnAudio 0.3.3 requires scipy, which is not installed. librosa 0.10.1 requires scipy, which is not installed. librosa 0.10.1 has requirement numba>=0.51.0, but you have numba 0.48.0. librosa 0.10.1 has requirement numpy!=1.22.0,!=1.22.1,!=1.22.2,>=1.20.3, but you have numpy 1.19.2. ```
#### Vulnerabilities that will be fixed ##### By pinning: Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- ![critical severity](https://res.cloudinary.com/snyk/image/upload/w_20,h_20/v1561977819/icon/c.png "critical severity") | **776/1000**
**Why?** Proof of Concept exploit, Has a fix available, CVSS 9.1 | Arbitrary File Write via Archive Extraction (Zip Slip)
[SNYK-PYTHON-TENSORFLOW-1315149](https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1315149) | `tensorflow:`
`2.11.0 -> 2.12.0rc1`
| No | Proof of Concept (*) 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](https://app.snyk.io/org/turian/project/b881dcfe-e9ab-44a3-af80-11fc85287ecf?utm_source=github&utm_medium=referral&page=fix-pr) 🛠 [Adjust project settings](https://app.snyk.io/org/turian/project/b881dcfe-e9ab-44a3-af80-11fc85287ecf?utm_source=github&utm_medium=referral&page=fix-pr/settings) 📚 [Read more about Snyk's upgrade and patch logic](https://support.snyk.io/hc/en-us/articles/360003891078-Snyk-patches-to-fix-vulnerabilities) [//]: # (snyk:metadata:{"prId":"2d07e945-9e0e-4594-9504-1a205bd8d6a4","prPublicId":"2d07e945-9e0e-4594-9504-1a205bd8d6a4","dependencies":[{"name":"tensorflow","from":"2.11.0","to":"2.12.0rc1"}],"packageManager":"pip","projectPublicId":"b881dcfe-e9ab-44a3-af80-11fc85287ecf","projectUrl":"https://app.snyk.io/org/turian/project/b881dcfe-e9ab-44a3-af80-11fc85287ecf?utm_source=github&utm_medium=referral&page=fix-pr","type":"auto","patch":[],"vulns":["SNYK-PYTHON-TENSORFLOW-1315149"],"upgrade":[],"isBreakingChange":false,"env":"prod","prType":"fix","templateVariants":["updated-fix-title","pr-warning-shown","priorityScore"],"priorityScoreList":[776],"remediationStrategy":"vuln"}) --- **Learn how to fix vulnerabilities with free interactive lessons:** 🦉 [Learn about vulnerability in an interactive lesson of Snyk Learn.](https://learn.snyk.io/?loc=fix-pr)