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Portable document format (PDF) image embedding and analysis: Foundational structures for forensic examination.

Gregory S Wales1

  • 1Independent Researcher, Colorado Springs, Colorado, USA.

Journal of Forensic Sciences
|November 17, 2025
PubMed
Summary
This summary is machine-generated.

Forensic practitioners can now better analyze images embedded in PDF files. This study details methods for interpreting these embedded image structures through hex-level inspection for improved digital forensics.

Keywords:
PDF file structurePDF object‐level analysisdigital image analysisembedded imagesformat specification fidelityhex‐level inspection

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Area of Science:

  • Digital Forensics
  • Image Analysis
  • Document Forensics

Background:

  • Analyzing embedded images in Portable Document Format (PDF) files presents unique forensic challenges.
  • Digital image analysis requires robust methods for interpreting complex file structures.

Purpose of the Study:

  • To support forensic practitioners in analyzing embedded image structures within PDF files.
  • To provide methods for hex-level inspection and format-specification-aligned analysis of embedded images.
  • To develop a foundational understanding of PDF image embedding behaviors.

Main Methods:

  • Exploratory testing using hex editors and JSON structure reports.
  • Analysis of internal PDF components, object models, and syntax against International Organization for Standardization (ISO) PDF standards.
  • Examination of embedding behaviors across common image formats and software (Adobe Acrobat, LibreOffice Draw).

Main Results:

  • Identification of a modular taxonomy for embedded image types and software-specific embedding behaviors.
  • Consistent internal PDF structures with variations in object placement and metadata retention.
  • Specialized verification needs for GIF-derived embeddings due to palette-based encoding and transparency.

Conclusions:

  • This technical note introduces foundational object-level interpretation methods for embedded PDF images.
  • The findings support examiner-led validation and reproducible structural comparison in digital forensics.
  • The study aligns with forensic science priorities for understanding PDF image lifecycle integrity.