mdsajjadullah/bangla-phishing-detection-2026

Bangla Phishing Detection Dataset (SMS, Email, URLs) 2026

Synthetic dataset (~2000 rows) of phishing and legitimate messages in Bangla (Bengali) + some English, simulating common Bangladesh scams (bKash, Nagad, Daraz, Eid offers, job fraud, account lock alerts, etc.).

Research Motivation

Phishing/smishing attacks are rising in Bangladesh and South Asia, often in Bangla using local services. Most phishing datasets are English-only and miss these patterns. This dataset fills the gap for Bangla NLP models, local detectors, and cybersecurity education in low-resource languages.

Columns

• —text: full message (SMS body, email subject+body, or URL)
• —type: sms / email / url
• —label: 1 = phishing, 0 = legitimate
• —language: bn / en / mixed
• —source: simulation info
• —english_translation: English version (partial in some rows)
• —has_urgency: 1 if urgency keywords detected
• —has_shortened_url: 1 if shortened URL detected

Stats

• —Rows: ~2000
• —Phishing: ~65%
• —Types: ~50% SMS, 30% email, 20% URL

Creation

• —100% synthetic (Faker + custom Bangla templates)
• —No real user data used
• —Baseline: TF-IDF + Logistic Regression (~90%+ accuracy on synthetic data — see notebook)

Intended Use

• —Fine-tune BanglaBERT / similar for phishing detection
• —Educational cybersecurity / NLP projects
• —Research on low-resource fraud detection

Important Note

Simulated data only — for research/education/ethical simulations. Not for production without real-world validation.

Feedback welcome! v2 planned with full translations.

Created by Md.Sajjad Ullah (Dhaka, Bangladesh)