Malicious PDF — malware analysis report

Static analysis result for SHA-256 de49e03a4904c08f…

MALICIOUS

PDF

41.0 KB Created: 2020-10-30 19:13:06 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-04-03
MD5: 4fa1afcfb57b61813e757b2164f2f3d6 SHA-1: 5abaaf8d5d9f0adc81134f8b0aa2fba8aab2b4c2 SHA-256: de49e03a4904c08f6082d38bfc1a49453d34b9c16b35ec0f9f2ad996c1fbb83b
234 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 6

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • Travel-support phone-number stuffing scam high 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.
  • 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://gettraff.ru/wb?keyword=2016%20honda%20hr-v%20lx%20manual%20suv In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366346/normal_5f8d711279c64.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4378157/normal_5f8deef03e0c8.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4383798/normal_5f91db7feebcd.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4387233/normal_5f91b985953c8.pdfIn PDF document text
    • https://s3.amazonaws.com/gavexilatuvitaz/41686076895.pdfIn PDF document text
    • https://s3.amazonaws.com/nemafu/96554273488.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4373778/normal_5f95198e9bd9a.pdfIn PDF document text
    • https://s3.amazonaws.com/tedowafomaru/clinical_infectious_diseases_2014.pdfIn PDF document text
    • https://s3.amazonaws.com/fasanag/50298657767.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368250/normal_5f8ebe7eb8e28.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000061ab.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000061ab.bin)
    • https://uploads.strikinglycdn.com/files/0996d9b2-5348-4ed1-9a19-8c2e83d9ee57/komapefonodakivul.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0495/2270/4550/files/voter_id_card_format.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8cd58cc5-7bcf-4440-b8e6-b4ebc2abe676/xusegalegiwunuraxa.pdfIn PDF document text
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://purl.org/dc/elements/1.1/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://ns.adobe.com/xap/1.0/mm/In PDF document text
    • http://ns.adobe.com/xap/1.0/rights/In PDF document text
    • http://scripts.sil.org/OFLIn extracted file (font_00_sfnt_off000061ab.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000061ab.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x61AB 5608 bytes
SHA-256: 7b13c08d284ef471f8598eb8f1cb29b4236ffeaa4ecd3835ad8180b55af735c8
font_01_sfnt_off000074a3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x74A3 10196 bytes
SHA-256: 8efa85507b30375918e0a4ffdec970b9d1705d1f4dad42e93e9118c9f9d1eda5