Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Bump mlflow from 2.9.0 to 2.9.2 #42

Merged
merged 1 commit into from
Dec 17, 2023
Merged

Conversation

dependabot[bot]
Copy link
Contributor

@dependabot dependabot bot commented on behalf of github Dec 15, 2023

Bumps mlflow from 2.9.0 to 2.9.2.

Release notes

Sourced from mlflow's releases.

MLflow 2.9.2 is a patch release, containing several critical security fixes and configuration updates to support extremely large model artifacts.

Features:

  • [Deployments] Add the mlflow.deployments.openai API to simplify direct access to OpenAI services through the deployments API (#10473, @​prithvikannan)
  • [Server-infra] Add a new environment variable that permits disabling http redirects within the Tracking Server for enhanced security in publicly accessible tracking server deployments (#10673, @​daniellok-db)
  • [Artifacts] Add environment variable configurations for both Multi-part upload and Multi-part download that permits modifying the per-chunk size to support extremely large model artifacts (#10648, @​harupy)

Security fixes:

  • [Server-infra] Disable the ability to inject malicious code via manipulated YAML files by forcing YAML rendering to be performed in a secure Sandboxed mode (#10676, @​BenWilson2, #10640, @​harupy)
  • [Artifacts] Prevent path traversal attacks when querying artifact URI locations by disallowing .. path traversal queries (#10653, @​B-Step62)
  • [Data] Prevent a mechanism for conducting a malicious file traversal attack on Windows when using tracking APIs that interface with HTTPDatasetSource (#10647, @​BenWilson2)
  • [Artifacts] Prevent a potential path traversal attack vector via encoded url traversal paths by decoding paths prior to evaluation (#10650, @​B-Step62)
  • [Artifacts] Prevent the ability to conduct path traversal attacks by enforcing the use of sanitized paths with the tracking server (#10666, @​harupy)
  • [Artifacts] Prevent path traversal attacks when using an FTP server as a backend store by enforcing base path declarations prior to accessing user-supplied paths (#10657, @​harupy)

Documentation updates:

Small bug fixes and documentation updates:

#10677, #10636, @​serena-ruan; #10652, #10649, #10641, @​harupy; #10643, #10632, @​BenWilson2

MLflow 2.9.1 is a patch release, containing a critical bug fix related to loading pyfunc models that were saved in previous versions of MLflow.

Bug fixes:

  • [Models] Revert Changes to PythonModel that introduced loading issues for models saved in earlier versions of MLflow (#10626, @​BenWilson2)

Small bug fixes and documentation updates:

#10625, @​BenWilson2

Changelog

Sourced from mlflow's changelog.

2.9.2 (2023-12-14)

MLflow 2.9.2 is a patch release, containing several critical security fixes and configuration updates to support extremely large model artifacts.

Features:

  • [Deployments] Add the mlflow.deployments.openai API to simplify direct access to OpenAI services through the deployments API (#10473, @​prithvikannan)
  • [Server-infra] Add a new environment variable that permits disabling http redirects within the Tracking Server for enhanced security in publicly accessible tracking server deployments (#10673, @​daniellok-db)
  • [Artifacts] Add environment variable configurations for both Multi-part upload and Multi-part download that permits modifying the per-chunk size to support extremely large model artifacts (#10648, @​harupy)

Security fixes:

  • [Server-infra] Disable the ability to inject malicious code via manipulated YAML files by forcing YAML rendering to be performed in a secure Sandboxed mode (#10676, @​BenWilson2, #10640, @​harupy)
  • [Artifacts] Prevent path traversal attacks when querying artifact URI locations by disallowing .. path traversal queries (#10653, @​B-Step62)
  • [Data] Prevent a mechanism for conducting a malicious file traversal attack on Windows when using tracking APIs that interface with HTTPDatasetSource (#10647, @​BenWilson2)
  • [Artifacts] Prevent a potential path traversal attack vector via encoded url traversal paths by decoding paths prior to evaluation (#10650, @​B-Step62)
  • [Artifacts] Prevent the ability to conduct path traversal attacks by enforcing the use of sanitized paths with the tracking server (#10666, @​harupy)
  • [Artifacts] Prevent path traversal attacks when using an FTP server as a backend store by enforcing base path declarations prior to accessing user-supplied paths (#10657, @​harupy)

Documentation updates:

Small bug fixes and documentation updates:

#10677, #10636, @​serena-ruan; #10652, #10649, #10641, @​harupy; #10643, #10632, @​BenWilson2

2.9.1 (2023-12-07)

MLflow 2.9.1 is a patch release, containing a critical bug fix related to loading pyfunc models that were saved in previous versions of MLflow.

Bug fixes:

  • [Models] Revert Changes to PythonModel that introduced loading issues for models saved in earlier versions of MLflow (#10626, @​BenWilson2)

Small bug fixes and documentation updates:

#10625, @​BenWilson2

Commits

Dependabot compatibility score

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
  • @dependabot cancel merge will cancel a previously requested merge and block automerging
  • @dependabot reopen will reopen this PR if it is closed
  • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
  • @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
    You can disable automated security fix PRs for this repo from the Security Alerts page.

Bumps [mlflow](https://github.com/mlflow/mlflow) from 2.9.0 to 2.9.2.
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.9.0...v2.9.2)

---
updated-dependencies:
- dependency-name: mlflow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Dec 15, 2023
Copy link

codecov bot commented Dec 15, 2023

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (8303d02) 47.93% compared to head (b4bb9fd) 47.93%.

Additional details and impacted files
@@           Coverage Diff           @@
##             main      #42   +/-   ##
=======================================
  Coverage   47.93%   47.93%           
=======================================
  Files          16       16           
  Lines         194      194           
=======================================
  Hits           93       93           
  Misses        101      101           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

@narumiruna narumiruna merged commit bd0ad5d into main Dec 17, 2023
3 checks passed
@narumiruna narumiruna deleted the dependabot/pip/mlflow-2.9.2 branch December 17, 2023 17:14
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
dependencies Pull requests that update a dependency file
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant