Chrome Extension Risk Assessment with 5-Class Labels

A labeled dataset for assessing the risk level of Chrome browser extensions. The title suggests it contains a classification scheme with five distinct risk categories. It is hosted on the Kaggle platform.

Use Cases

• Train a multi-class classifier to predict extension risk levels (inferred from domain, verify after download)
• Analyze features correlated with different security risk categories (inferred from domain, verify after download)
• Benchmark security scoring algorithms for browser add-ons (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science.
• Provides a structured 5-class labeling scheme for risk assessment.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file format, and license are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Method of data gathering is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last updated date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.