Malicious PDF — malware analysis report

Static analysis result for SHA-256 b4a71d91e451c720…

MALICIOUS

PDF

1016 B Authoring application: malicious-pdf (via https://github.com/jonaslejon/malicious-pdf) First seen: 2026-06-10
MD5: 23a22b6075a0d2908fb1e7f12f06c07c SHA-1: 62f3e392c0bfa7c60c34a6fad8bcfb1bbb40f275 SHA-256: b4a71d91e451c7209a3e3258f658d552e7b429481da0f864903bbb3436a384aa
84 Risk Score

Machine Learning

  • Nyx PDF Classifier clean score 0.0130

Heuristics 4

  • Hex-obfuscated structural name object high PDF_OBFUSCATED_NAME_OBJECT
    A structurally-dangerous PDF name (e.g. /OpenAction, /Launch, /AA, /EmbeddedFile, /SubmitForm) is written with #XX hex escapes to evade string-based scanners. Legitimate producers write these names literally; hex-encoding them is a deliberate obfuscation technique.
  • Remote GoTo action high PDF_GOTO_REMOTE
    PDF references an external document via GoToR/GoToE whose target is a URL, UNC path, or executable
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL https://github.com/jonaslejon/malicious-pdf In PDF document text
    • http://d8kk14rdnf23c5o3rgjgwuudhqo3ng6kb.oast.meIn PDF document text