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The system utilizes static and behavioral analysis techniques to identify potential malware, and machine learning models to classify GIF files as malicious or benign. Our results demonstrate the effectiveness of the system in detecting malware in GIF files, providing a valuable tool for improving computer security.\n\nKeywords\nGIF Malware Detection, Machine Learning, Deep Learning, Malware Analysis, Computer Security, Cybersecurity, Artificial Intelligence, Static Analysis, Behavioral Analysis, Neural Networks.\n\n### Project include: \n\n1. Synopsis\n\n2. PPT\n\n3. Research Paper\n\n\n4. Code\n\n5. Explanation video\n\n6. Documents\n\n7. Report\n\n\n### Need Code, Documents \u0026 Explanation video ? \n\n## How to Reach me :\n\n### Mail : vatshayan007@gmail.com \n\n### WhatsApp: +91 9310631437 (Helping 24*7) **[CHAT](https://wa.me/message/CHWN2AHCPMAZK1)** \n\n### Website : https://www.finalproject.in/\n\n### Contact me for any kind of help on projects.\n### 1000 Computer Science Projects : https://www.computer-science-project.in/\n\n\nMail/Message me for Projects Help 🙏🏻\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Fgif-malware-detection-projectgif-malware-detection-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprojects-developer%2Fgif-malware-detection-projectgif-malware-detection-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Fgif-malware-detection-projectgif-malware-detection-project/lists"}