Technical Compendium: Malicious PDF Taxonomy & XAI-Gated Defensive Pipelines

Research
1

Hi everyone,

I’m sharing my latest research on the evolution of PDF weaponization and modern detection methodologies. This compendium explores the gap between traditional malware analysis and the need for Explainable AI (XAI) in production security stacks.

Key research areas covered:

  • Adversarial ML: How structural evasion techniques (2020-2026) challenge current detection models.

  • Concept Drift: Adaptation strategies for Windows and PDF malware with minimal samples.

  • Defense Frameworks: Integrating static, dynamic, and symbolic execution into a multi-layered pipeline.

I’ve included a detailed taxonomy of 8 payload families, from information stealers to APT precursors.

:link: Full Paper (DOI): https://doi.org/10.6084/m9.figshare.31827337

Topics: #cybersecurity #malware-detection #XAI #explainable-ai #APT #machine-learning #infosec #PDF-security

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