Phishing Dataset for 2025

Phishing_dataset_2025 is a cybersecurity dataset published on Kaggle. The dataset likely contains features for identifying malicious emails or websites. Its specific size, columns, and origin are currently unknown.

Use Cases

• Train a binary classifier to distinguish phishing from legitimate URLs (inferred from domain, verify after download)
• Feature engineering for network traffic or email header analysis (inferred from domain, verify after download)
• Benchmarking anomaly detection algorithms for cybersecurity applications (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing practices.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and file formats are unknown.
• Data may reflect temporal or source bias inherent to Kaggle submissions.

Provenance

Source

Kaggle

Collection Method

Unknown

Time Range

2025 (inferred from title, verify after download)

Freshness

Last updated date is unknown; freshness unverified.

Geography

null