Opaline Attachment Defense System For Proactive Detection And Sanitization Of Malicious Email Files

• Author(s):

  Mrs. M.Radhika | G.Ashika | Shreya Agrawal | T.Sruthik

• Keywords:

  Email Attachment Security, Malicious File Detection, Deep Learning Cybersecurity, RoBERTa Malware Classification, Proactive Threat Sanitization, Sandbox Isolation, Phishing Prevention, Zero-day Attack Defence, Attachment Preview Safety, Flask-based Securi

• Abstract:

  Email Attachments Remain A Primary Vector For Phishing And Malware Attacks, With Traditional Signature-based Defences Struggling Against Zero-day Threats. This Paper Introduces Opaline, A Proactive Defence System That Leverages Deep Learning Models Like RoBERTa To Analyse Textual Semantics And Structural Features In Attachments Such As PDFs And Documents, Achieving Early Detection Before User Interaction. By Integrating Sandbox Isolation And Automated Sanitization—converting Suspicious Files Into Safe Static Previews—Opaline Minimizes Risks While Preserving Workflow Usability, Offering A Practical Advancement Over Resource-heavy Existing Solutions.

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Other Details

• Paper id:

  IJSARTV12I3104617

• Published in:

  Volume: 12 Issue: 3 March 2026

• Publication Date:

  2026-03-01

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