Explainable Transformer-Based Email Phishing Classification with Adversarial Robustness

Phishing and related cyber threats are becoming more varied and technologically advanced. Among these, email-based phishing remains the most dominant and persistent threat. These attacks exploit human vulnerabilities to disseminate malware or gain unauthorized access to sensitive information. Dee...

Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models

Email spam detection is a critical task in modern communication systems, essential for maintaining productivity, security, and user experience. Traditional machine learning and deep learning approaches, while effective in static settings, face significant limitations in adapting to evolving spam...

UniswapHelper.buyFlanAndBurn is a subject to sandwich attacks

Handle hyh Vulnerability details Impact Trades can happen at a manipulated price and end up receiving fewer Flan to be bought than current market price dictates. For example, at the time a user decides to call buyFlanAndBurn Flan trades at 0.8 in the input token terms at the corresponding DEX poo...

flan can't be transferred unless the flan contract has flan balance greater than the amount we want to transfer

Handle CertoraInc Vulnerability details Flan.sol safeTransfer function The flan contract must have balance and must have more flan then we want to transfer in order to allow flan transfers. If it doesn't have any balance, the safeTransfer, which is the only way to transfer flan, will call transfe...

Sifter - A OSINT, Recon And Vulnerability Scanner

Sifter is a osint, recon & vulnerability scanner. It combines a plethara of tools within different module sets in order to quickly perform recon tasks, check network firewalling, enumerate remote and local hosts, and scan for the 'blue' vulnerabilities within microsft and if unpatched, exploit...