Does azureml-mlflow have any known vulnerabilities?

No known CVE vulnerabilities were found for azureml-mlflow v1.61.0.post1 in the brin database.

What capabilities does azureml-mlflow have?

azureml-mlflow has the following detected capabilities: network access, filesystem access, process spawning, environment variable access, native modules. Review these before using with AI coding agents.

Can I use azureml-mlflow safely with AI coding agents?

azureml-mlflow has been flagged with risk indicators. Review the detected threats and capabilities before using with AI coding agents. Assessments are automated and may contain errors.

azureml-mlflow

Q: Is azureml-mlflow safe to use?

azureml-mlflow v1.61.0.post1 has warnings detected in the latest brin safety scan. Trust score: 70/100. Review the flagged concerns before use. This is an automated assessment.

PyPI

Is azureml-mlflow safe to use?

The latest brin safety scan flagged azureml-mlflow v1.61.0.post1 with risk indicators that warrant review. No known CVE vulnerabilities. Trust score: 70/100. Review the findings below before use. This is an automated assessment and may contain errors.

Install (safety-checked)

azureml-mlflow Has Warnings

Warnings detected due to potential concerns

warning

CVEs

Threats

Install Scripts

Risk Indicators

•Package includes native code modules
•Package can spawn child processes

brin Recommendations

→This package has warnings detected. Evaluate the specific concerns before proceeding.

Install with brin add azureml-mlflow to automatically apply these checks before installation.

This is an automated, point-in-time assessment and may contain errors. Findings are risk indicators, not confirmed threats. Security posture may change over time. Maintainers can dispute findings via the brin review process.

azureml-mlflow Capabilities & Permissions

What azureml-mlflow can access when installed. Review these capabilities before using with AI agents like Cursor, Claude Code, or Codex.

Network Access

This package makes network requests.

aka.msapi.applicationinsights.azure.cnapi.applicationinsights.ioapi.applicationinsights.usapi.loganalytics.azure.cnapi.loganalytics.ioapi.loganalytics.usattest.azure.netazure.microsoft.combatch.chinacloudapi.cn+61 more

Protocols: https

Filesystem Access

Reads and writes to the filesystem.

.env (w).env (w).env (rw).env (rw).env (rw).env (rw).env (rw).env (rw)+30 more

Process Spawning

This package can spawn child processes.

Environment Variables

Accesses the following environment variables.

ARM_CLOUD_METADATA_URLARTIFACTS_BATCH_SIZE_ENV_VARAZUREML_ARM_PROJECT_NAMEAZUREML_ARM_RESOURCEGROUPAZUREML_ARM_SUBSCRIPTIONAZUREML_ARM_WORKSPACE_NAMEAZUREML_ARTIFACTS_TIMEOUT_ENV_VARAZUREML_CLOUD_ENV_NAMEAZUREML_DEV_URL_MLFLOW+30 more

Native Modules

Contains native code that runs outside the JavaScript sandbox.

numpypandas

AGENTS.md for azureml-mlflow

Good instructions lead to good results. brin adds azureml-mlflow documentation to your AGENTS.md so your agent knows how to use it properly—improving both safety and performance.

brin init

Vercel's research: 100% accuracy with AGENTS.md vs 53% without →

azureml-mlflow Documentation & Source Code

For the full azureml-mlflow README, API documentation, and source code, visit the official package registry.

View on PyPI

Frequently asked questions about azureml-mlflow safety

Install (safety-checked)

Weekly Downloads

575.9K

Version

1.61.0.post1

Last Scanned

Feb 5, 2026

Trust Score

70/100·Legitimacy signals, not safety

Capabilities

Network

Connects to: aka.ms, api.applicationinsights.azure.cn, api.applicationinsights.io...

Filesystem

Reads & Writes files

Process

Spawns child processes

Environment

Accesses: , ARM_CLOUD_METADATA_URL, ARTIFACTS_BATCH_SIZE_ENV_VAR...

Native

Contains native modules