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
- laradock/jupyterhub/Dockerfile.user
We recommend upgrading to `tensorflow/tensorflow:2.10.0rc1-gpu`, as this image has only 54 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:
| Severity | Priority Score / 1000 | Issue | Exploit Maturity |
| :------: | :-------------------- | :---- | :--------------- |
|  | **364** | Arbitrary Code Injection [SNYK-UBUNTU2004-GNUPG2-2940666](https://snyk.io/vuln/SNYK-UBUNTU2004-GNUPG2-2940666) | No Known Exploit |
|  | **436** | Cross-site Scripting (XSS) [SNYK-UBUNTU2004-LIBXML2-2963049](https://snyk.io/vuln/SNYK-UBUNTU2004-LIBXML2-2963049) | No Known Exploit |
|  | **364** | OS Command Injection [SNYK-UBUNTU2004-OPENSSL-2933120](https://snyk.io/vuln/SNYK-UBUNTU2004-OPENSSL-2933120) | No Known Exploit |
|  | **364** | Inadequate Encryption Strength [SNYK-UBUNTU2004-OPENSSL-2941372](https://snyk.io/vuln/SNYK-UBUNTU2004-OPENSSL-2941372) | No Known Exploit |
|  | **364** | Arbitrary Command Injection [SNYK-UBUNTU2004-PYTHON38-2767631](https://snyk.io/vuln/SNYK-UBUNTU2004-PYTHON38-2767631) | No Known Exploit |
---
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[//]: # 'snyk:metadata:{"prId":"3413089c-a4d0-4ae1-b97c-5ce7ff434699","prPublicId":"3413089c-a4d0-4ae1-b97c-5ce7ff434699","dependencies":[{"name":"tensorflow/tensorflow","from":"latest-gpu","to":"2.10.0rc1-gpu"}],"packageManager":"dockerfile","projectPublicId":"653bdbec-dae9-4120-8098-c78584bd7e11","projectUrl":"https://app.snyk.io/org/circleci-78h/project/653bdbec-dae9-4120-8098-c78584bd7e11?utm_source=github&utm_medium=referral&page=fix-pr","type":"auto","patch":[],"vulns":["SNYK-UBUNTU2004-LIBXML2-2963049","SNYK-UBUNTU2004-PYTHON38-2767631","SNYK-UBUNTU2004-OPENSSL-2941372","SNYK-UBUNTU2004-OPENSSL-2933120","SNYK-UBUNTU2004-GNUPG2-2940666"],"upgrade":["SNYK-UBUNTU2004-GNUPG2-2940666","SNYK-UBUNTU2004-LIBXML2-2963049","SNYK-UBUNTU2004-OPENSSL-2933120","SNYK-UBUNTU2004-OPENSSL-2941372","SNYK-UBUNTU2004-PYTHON38-2767631"],"isBreakingChange":false,"env":"prod","prType":"fix","templateVariants":["updated-fix-title","priorityScore"],"priorityScoreList":[436,364,364,364,364]}'
---
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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 - laradock/jupyterhub/Dockerfile.user We recommend upgrading to `tensorflow/tensorflow:2.10.0rc1-gpu`, as this image has only 54 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: | Severity | Priority Score / 1000 | Issue | Exploit Maturity | | :------: | :-------------------- | :---- | :--------------- | |  | **364** | Arbitrary Code Injection
[SNYK-UBUNTU2004-GNUPG2-2940666](https://snyk.io/vuln/SNYK-UBUNTU2004-GNUPG2-2940666) | No Known Exploit | |  | **436** | Cross-site Scripting (XSS)
[SNYK-UBUNTU2004-LIBXML2-2963049](https://snyk.io/vuln/SNYK-UBUNTU2004-LIBXML2-2963049) | No Known Exploit | |  | **364** | OS Command Injection
[SNYK-UBUNTU2004-OPENSSL-2933120](https://snyk.io/vuln/SNYK-UBUNTU2004-OPENSSL-2933120) | No Known Exploit | |  | **364** | Inadequate Encryption Strength
[SNYK-UBUNTU2004-OPENSSL-2941372](https://snyk.io/vuln/SNYK-UBUNTU2004-OPENSSL-2941372) | No Known Exploit | |  | **364** | Arbitrary Command Injection
[SNYK-UBUNTU2004-PYTHON38-2767631](https://snyk.io/vuln/SNYK-UBUNTU2004-PYTHON38-2767631) | No Known Exploit | --- **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: