Named after the legendary sword from Lord of the Rings that glows blue when danger is near, Sting9 illuminates the threats hiding in your inbox.
The Sting9 Research Initiative is building the world's most comprehensive open-source dataset of phishing, smishing, and scam messages to train AI models capable of detecting malicious communications with 99.9% accuracy. By combining community contributions with existing datasets, we're creating a powerful resource to protect billions of users from digital deception.
Every day, millions of people receive fraudulent messages designed to steal their personal information, money, and digital identities. Current detection systems struggle to keep pace with evolving threats:
Building a global network of contributors who submit suspected phishing and smishing messages. Every contribution helps our AI learn new attack patterns.
Aggregating and standardizing data from user submissions, partner organizations, academic research, threat intelligence feeds, and honeypot networks.
Machine learning models analyze message content, sender patterns, URLs, social engineering tactics, and cross-language threat patterns.
All datasets and trained models freely available to researchers, security companies, developers, and anyone combating digital fraud.
Phishing, spear-phishing, business email compromise (BEC)
Smishing, spam texts, fraudulent alerts
WhatsApp, Telegram, Signal scams
Fraudulent DMs and posts
Join the fight against digital deception. Every contribution matters.
Together, we can make digital deception obsolete.