Malicious PDF / .VIR — malware analysis report

Static analysis result for SHA-256 a341fb0c55b18418…

MALICIOUS

PDF / .VIR

1.52 MB First seen: 2024-05-12
MD5: e2fdf7412025c58f7cffc021e3d72b4b SHA-1: 2bdfdbe787e01148294539fd6d9035d6c9241cb9 SHA-256: a341fb0c55b18418ad8418747ff2a0bf07c76f3f628dac7e7593bbf909c6ff57
70 Risk Score

Machine Learning

  • Nyx PDF Classifier clean score 0.0002

Heuristics 3

  • Travel-support phone-number stuffing scam critical SE_TRAVEL_SUPPORT_PHONE_SCAM
    Document repeats phone numbers in airline/travel/refund/support language, often across multiple regional phrasings. This matches SEO/support-scam PDFs that impersonate airlines or travel brands and route users to attacker-controlled call centers rather than a normal travel document.
  • PDF static-analysis soft budget exhausted low SCAN_INCOMPLETE
    The bounded PDF scanner skipped late sub-format walkers after the configured per-file soft deadline. Earlier findings remain valid.
  • 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 http://www.eskills-monitor.eu In PDF document text
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://ns.adobe.com/xap/1.0/In PDF document text
    • http://purl.org/dc/elements/1.1/In PDF document text
    • http://ns.adobe.com/xap/1.0/mm/In PDF document text

Related samples 5

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Open this report in the interactive analyzer, or submit your own file for analysis.