PkgRadar

Package evidence

mlflow==3.14.0

Py Import Time Subprocess: subprocess call — process spawning.

Trust signals

Why this verdict

PkgRadar discounts a release’s score when public reputation argues against novel malware. The verdict above already reflects these — the panel just explains what was applied.

Versions published
182Mature · −50% score
First published
Jun 2018

Effective trust discount applied: 50% (max across signals — discounts don’t stack). New install-lifecycle deltas vs the previous release would clear the discount.

Recommended action

Review before promoting

Mixed signals: the package has indicators worth reading before allowing the update in automated dependency flows.

Block this release in CIcurl · GitHub Actions

Fail the build when this package version is added or upgraded. Replace $PKGRADAR_TOKEN with a Pro / Team API key from your dashboard.

curl -fsS https://pkgradar.com/gate/npm \
  -H "Authorization: Bearer $PKGRADAR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"specs":["mlflow==3.14.0"],"fail_on":"review"}'

GitHub Actions step:

- name: PkgRadar gate
  run: |
    curl -fsS https://pkgradar.com/gate/npm \
      -H "Authorization: Bearer ${{ secrets.PKGRADAR_TOKEN }}" \
      -H "Content-Type: application/json" \
      -d '{"specs":["mlflow==3.14.0"],"fail_on":"review"}'
Publisherunknown
Artifact bytes11,792,369
Previous versionnone
Published2026-06-17T07:57:44
SHA-2565a1f818fa003035c724162096ce3ded7bc7bc47a1cae595df6173961983f4718

Why flagged

What the scanner saw

Py Import Time Subprocess: subprocess call — process spawning.

Not observed: package install, lifecycle script execution, or sandbox execution. PkgRadar only inspects on-disk artifacts.

Availability ledger

available

review
Last checked
reviewRisk
56Score
3.14.0Version
Status history (1 event)
  1. newavailable · risk review · score 56 · status changed

Evidence

Static findings

16 static · 0 from release diff · showing high-signal first.

SeverityKindPathDetailPoints
mediumPy Import Time Subprocessmlflow-3.14.0/mlflow/sagemaker/__init__.pysubprocess call — process spawning.32
mediumPy Import Time Pickle Loadsmlflow-3.14.0/mlflow/pmdarima/__init__.pypickle/marshal.loads — deserializes arbitrary objects, RCE if attacker-controlled.24
mediumPy Import Time Pickle Loadsmlflow-3.14.0/mlflow/sklearn/__init__.pypickle/marshal.loads — deserializes arbitrary objects, RCE if attacker-controlled.24
highPy Import Time Network Callmlflow-3.14.0/mlflow/assistant/providers/__init__.pyNetwork call (urllib/requests/httpx/http.client) at install or import time.16
highPy Import Time Network Callmlflow-3.14.0/mlflow/deployments/openai/__init__.pyNetwork call (urllib/requests/httpx/http.client) at install or import time.16
mediumCredential file accessmlflow-3.14.0/mlflow/metrics/genai/model_utils.pymatched "aws_access_key"10
mediumCredential file accessmlflow-3.14.0/mlflow/projects/backend/local.pymatched "AWS_SECRET_ACCESS_KEY"10
mediumCredential file accessmlflow-3.14.0/mlflow/store/artifact/sftp_artifact_repo.pymatched ".ssh/"10
Show all 16 findings (low-signal and informational)
SeverityKindPathDetailPoints
mediumPy Import Time Subprocessmlflow-3.14.0/mlflow/sagemaker/__init__.pysubprocess call — process spawning.32
mediumPy Import Time Pickle Loadsmlflow-3.14.0/mlflow/pmdarima/__init__.pypickle/marshal.loads — deserializes arbitrary objects, RCE if attacker-controlled.24
mediumPy Import Time Pickle Loadsmlflow-3.14.0/mlflow/sklearn/__init__.pypickle/marshal.loads — deserializes arbitrary objects, RCE if attacker-controlled.24
highPy Import Time Network Callmlflow-3.14.0/mlflow/assistant/providers/__init__.pyNetwork call (urllib/requests/httpx/http.client) at install or import time.16
highPy Import Time Network Callmlflow-3.14.0/mlflow/deployments/openai/__init__.pyNetwork call (urllib/requests/httpx/http.client) at install or import time.16
mediumCredential file accessmlflow-3.14.0/mlflow/metrics/genai/model_utils.pymatched "aws_access_key"10
mediumCredential file accessmlflow-3.14.0/mlflow/projects/backend/local.pymatched "AWS_SECRET_ACCESS_KEY"10
mediumCredential file accessmlflow-3.14.0/mlflow/store/artifact/sftp_artifact_repo.pymatched ".ssh/"10
lowPy Import Time Base64 Decodemlflow-3.14.0/mlflow/server/auth/__init__.pybase64/hex decode in Python source.8
lowPy Import Time Base64 Decodemlflow-3.14.0/mlflow/transformers/__init__.pybase64/hex decode in Python source.8
lowCredential file accessmlflow-3.14.0/mlflow/gateway/config.pymatched "aws_access_key"5
lowCredential file accessmlflow-3.14.0/mlflow/gateway/providers/bedrock.pymatched "aws_access_key"5
lowCredential file accessmlflow-3.14.0/mlflow/sagemaker/__init__.pymatched "aws_access_key"5
lowCredential file accessmlflow-3.14.0/mlflow/server/gateway_api.pymatched "aws_access_key"5
lowCredential file accessmlflow-3.14.0/mlflow/store/artifact/s3_artifact_repo.pymatched "aws_access_key"5
lowCredential file accessmlflow-3.14.0/mlflow/utils/providers.pymatched "aws_access_key"5