AI-powered phishing detection protecting African SMEs from cyber threats. Real-time analysis. Instant alerts. Zero compromise.
# EndPhishAI β Multilingual Phishing Detection Platform
**Fredrick Ighile** |
github.com |
linkedin.com
π **Top 3 Finalist β AfriHackBox Pan-African Cybersecurity Hackathon 2025**
π **Live Demo** | π‘ **API** | π₯ **Demo Video**
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## The Problem Nobody Is Solving
Every major phishing detection tool β VirusTotal, Google Safe Browsing, PhishTank β was built for English-speaking Western markets.
Meanwhile, 600 million people across Africa are receiving phishing attacks in **Swahili, Hausa, Yoruba, French, and Pidgin**. These attacks target M-Pesa, MTN, GTBank, Safaricom β brands that don't exist in any Western threat database.
_"Thibitisha akaunti yako ya M-Pesa haraka!"_ β this Swahili phishing SMS bypasses every existing security tool. Not EndPhishAI.
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## Live Demo
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## What Makes It Different
| Feature | Most Tools | EndPhishAI |
| ---------------------- | ---------------------------------- | ---------------------------------------------------- |
| Detection approach | Reactive β checks reported threats | Proactive β analyzes behavior and structure |
| Languages | English only | English, Swahili, Hausa, Yoruba, French, Pidgin |
| African brand coverage | None | MTN, M-Pesa, GTBank, Airtel, Safaricom, Flutterwave |
| Typosquat detection | Basic | Homoglyph matching (paypa**1**.com β PayPal) |
| Subdomain spoofing | Missed | Caught (accounts.google.com.**security-alert.net**) |
| Zero-day detection | No | Yes β structural analysis catches unreported threats |
| Explainability | "Threat detected" | Lists exactly which signals triggered the verdict |
| Input types | URLs only | URLs, SM β¦