Malicious PDF — malware analysis report

Static analysis result for SHA-256 42518ae094f25ae4…

MALICIOUS

PDF

42.1 KB Created: 2020-10-03 20:30:26 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-15
MD5: d41dfb6d0eee93bb255bcca2cf1612ee SHA-1: 89643f4bc351cce0c6bc435f6e76e9aba4db7cf1 SHA-256: 42518ae094f25ae41fd47978df40f2c432c51192a5a02674fecb5fcdbe2f7c43
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • 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/strik?keyword=interpretacion+de+diagramas+electric In PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/6107/4337/files/12_angry_men_study_guide_answers.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/6265/7177/files/56814458293.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/2759/4905/files/h.264_dvr_port_forwarding.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c508d3d5-4b71-4991-b330-556038e755a4/14974672638.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2301f1f2-3ff7-4858-892d-1158864e0f1f/relezaxupu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ec8ad16f-dd27-4b69-a23e-aa2b23a3065a/pepasux.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/48922c3a-d125-4e43-90f7-77e8bd1402d6/bufusifugijukunudezomak.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cd872392-8ccf-4523-9ba8-e42c25d61311/jemelave.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/09470249-6e1a-407c-8e8f-0152e5a86dc8/43629280991.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/13161640-bd4d-4861-ad20-ae236aba0405/63912458763.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/95a2019c-fc31-49b5-a196-0a7b5f6aea9f/73709085008.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9913bc34-eb0b-4147-807e-46a5954b328d/16038415886.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f2ac99fb-6115-4957-b09d-822e31630fdf/84914868089.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1d16b46c-4b21-47cb-8cb1-a63897554416/jijis.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2fdc19c1-8335-42fb-9300-a4c20f19d759/70453073599.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 PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006632.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6632 5328 bytes
SHA-256: 10dacdb2ed76a6fbf5a5fc8389a765d5a63cf6c62739cbfd9a5f4795cf507657
font_01_sfnt_off00007836.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7836 10920 bytes
SHA-256: aad63e82a6f0f4aa6deaafe3f641a8ce3f6b5fd0cc2fe38d4531ec994c3b9d84

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