Author:
1Sarita Sawale, 2Ambar Ubale,3Vishwadeep pundge, 4Vidhan Barad,5Vaibhav chavan.Published in
Journal of Science Technology and Research( Volume 6, Issue 1 )
Abstract
Phishing is a growing cybercrime where attackers impersonate trusted individuals or organizations to anti-phishing simulator deceive users via email or digital communication. These fraudulent messages often include malicious links or attachments that aim to steal personal information such as login credentials or financial details. Victims of phishing attacks frequently face identity theft and financial loss.
To combat this threat, we developed an Anti-Phishing Simulator, a software application designed to detect and educate users about phishing emails. This simulator analyzes the contents of incoming emails to identify spam or malicious intent using Bayesian classification techniques. The system flags suspicious messages based on keywords and known phishing patterns stored in a custom-built database. It provides real-time detection and alerts, empowering users to recognize and avoid phishing scams.
By simulating various phishing scenarios, the tool also raises awareness about how phishing emails operate. Users can learn to spot red flags in email content, such as fake URLs, urgent language, or incorrect sender addresses. The software’s goal is twofold: improve email threat detection and enhance user education on cybersecurity practices.
This AI-driven solution offers a scalable, cost-effective alternative to traditional security tools and is suitable for individual users, organizations, and educational institutions. It serves as a practical training module while functioning as an effective detection system. By integrating the Anti-Phishing Simulator into their workflow, users can better protect sensitive information and defend against modern cyber threats.
Introduction
Phishing is a deceptive method used by cybercriminals to steal confidential information. Attackers often disguise themselves as trusted institutions—like banks, email providers, or credit card companies—and trick users into clicking malicious links or downloading harmful attachments.
These phishing emails commonly request personal data, such as passwords or credit card numbers. Victims are directed to fake websites that closely mimic legitimate platforms. Once users enter their details, attackers collect and exploit that information.
Our Anti-Phishing Simulator addresses this threat by detecting phishing attempts and educating users. It analyzes email content using Bayesian classification to identify suspicious messages. The simulator not only detects phishing emails but also teaches users how to spot scams on their own.
Phishing attacks are often the starting point for more complex cybercrimes like ransomware and Advanced Persistent Threats (APTs). Hackers use social engineering and public data from platforms like LinkedIn and Facebook to tailor their attacks. This makes phishing even more convincing and dangerous.
Through our simulator, users gain awareness and tools to stay protected against evolving phishing tactics. The software emphasizes prevention and proactive learning to reduce vulnerability in the digital space.