Samruddhip09/PDF_Malware_Analysis

# PDF_Malware_Analysis A beginner-friendly cybersecurity project that analyzes PDF files to detect suspicious content such as malicious keywords and URLs using Python. This project successfully demonstrates how PDF files can be analyzed using Python to identify suspicious content. The system reads PDF files, extracts text, detects suspicious keywords, extracts URLs, generates SHA256 hash values, and creates a report automatically. OBJECTIVES Reads PDF files using PyPDF2 Detects suspicious keywords like /JavaScript and /OpenAction Extracts URLs from PDF files Generates SHA256 hash values Creates automatic analysis reports The generated output proved that the malware analyzer works correctly for educational and beginner-level cybersecurity analysis.