Module 02

Malware Detection

Upload a CSV of extracted static or behavioural features. Samples are mapped to malware families with confidence, severity and recommended containment steps.

Upload dataset

Provide a preprocessed CSV export. The file is passed straight through to the detection service — nothing is stored in the browser.

Drag & drop your CSV here

CSV up to 25 MB

POST /predict/malware

Expected format

UTF-8 encoded CSV with a header row. Column order must match the model's feature schema.

Common failures

Empty files, non-CSV uploads, malformed rows, and unreachable API endpoints all surface here as inline errors.

Pipeline status

  • 01File validation
  • 02Feature extraction
  • 03Model inference
  • 04Report assembly

Detection summary

Primary model output for the uploaded dataset

Awaiting run

Predicted family

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Pending analysis

Confidence score

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Pending analysis

Threat severity

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Pending analysis

Records analyzed

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Pending analysis

Recommendation

Mitigation guidance returned by the API will appear here after a successful run.

Class distribution

Share of predicted classes across the dataset

Chart renders once analysis results are available.

Detections per class

Absolute counts by predicted label

Chart renders once analysis results are available.

Flagged records

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Clean records

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Processing time

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Reported by the API

Per-record results
Run an analysis to populate the record-level table.