Malicious PDF — malware analysis report

Static analysis result for SHA-256 3dd15d978c1ee513…

MALICIOUS

PDF

40.2 KB Created: 2020-10-27 19:39:05 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-26
MD5: 268780b77ab7b82a41c84f48b8e78f48 SHA-1: ab7060fd4598760b0cd0d7ec02bfd12e600efb7d SHA-256: 3dd15d978c1ee51373d8ad36e228f6d7eb3202eaa23d00233a09cfb127b09e9a
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://ttraff.ru/123?keyword=danse+paris+2020 In PDF document text
    • https://cdn-cms.f-static.net/uploads/4389366/normal_5f94548e7a616.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4411917/normal_5f9807ff63262.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4409257/normal_5f98154fa3435.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4419430/normal_5f966d48d3898.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4391009/normal_5f926a9c1e27b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365655/normal_5f8722de5af8b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374703/normal_5f97c9ab763b2.pdfIn 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/1/0501/5578/2309/files/kagetitazujutum.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/2850/3464/files/41489723638.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/9377/7302/files/film_screen_radiography.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/5937/9875/files/29259632382.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0495/0229/0079/files/trusty_lady_and_the_tramp_2019.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/1497/9221/files/difficult_thanksgiving_word_search.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0268/7349/5734/files/41008078518.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/3858/7552/files/diludizeropizifip.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0503/2417/7093/files/an_orange_for_frankie.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/1860/7521/files/maths_formula_class_12.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7198f701-224c-4702-a848-569b3a8ceeaf/dufiru.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/87da7724-4603-44b7-b8b6-db27a67a69ee/what_message_does_romeo_give_the_nur.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_off000059f0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x59F0 5056 bytes
SHA-256: de84e2cb09a3a6f90f16338d0052ecf66ae101f64208647d5873ce889a9811df
font_01_sfnt_off00006b2f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6B2F 12136 bytes
SHA-256: 0934be4031f3933e9e1f6ea0dd609114b79846fc4c976f1948470b125a65b60f