An open-source research initiative collecting phishing, smishing, and scam messages to train AI models capable of detecting malicious communications with 99.9% accuracy.
Quick submission via email forwarding
Simply forward suspicious emails to submit@sting9.org and we'll automatically process them.
All submissions are automatically anonymized. No tracking. GDPR compliant.
Real-time progress toward our goal of 1 million messages
Every submission brings us closer to 99.9% detection accuracy
Recognizing the heroes who help build the world's largest phishing detection dataset
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From submission to protection in four transparent steps
Forward phishing emails or paste smishing texts. Upload screenshots or message files. Anonymous submissions welcome.
Our system immediately redacts all personal information—emails, phone numbers, names, addresses, and identifiers—to protect your privacy.
The anonymized message joins our CC0 public dataset, categorized by type, language, and threat characteristics for research access.
Your contribution trains machine learning models used by individuals, organizations, and researchers to detect and prevent future attacks.
Every message you submit helps protect millions of people from digital deception. Together, we're building the most comprehensive anti-phishing defense system ever created.
Learn more about our missionFrom open data to global protection, our mission reaches millions
State-of-the-art machine learning trained on the largest, most diverse phishing dataset ever created.
Live feeds of emerging attack patterns, malicious URLs, and new scam techniques as they appear.
Free API and dataset downloads for academic researchers, developers, and security professionals worldwide.
Everyday users gain protection through email clients, messaging apps, and browsers powered by our detection models.
Businesses integrate our API to protect employees from BEC, credential harvesting, and targeted phishing campaigns.
Academic institutions and security labs use our dataset to advance cybersecurity science and develop new defenses.
"Making digital deception obsolete through radical transparency and collaboration"
Real examples from our dataset (anonymized and redacted) showing common phishing and smishing techniques
When you submit a suspicious message, you're not just protecting yourself—you're helping us identify new attack patterns and educate millions of people worldwide about emerging threats.