Malicious PDF — malware analysis report

Static analysis result for SHA-256 f3859008745f4c91…

MALICIOUS

PDF

45.5 KB Created: 2020-10-26 08:19:31 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: f53f1261a555b93324e4fd5f9a8c6c50 SHA-1: 53be07991a47d15522952ef8bda065ed4afd6702 SHA-256: f3859008745f4c910d6110c3aae170d7f03b5c6db653429b26a7c6992c160f44
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://cctraff.ru/aws?keyword=because+beatles+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4369522/normal_5f88c30a27c4a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374542/normal_5f8ac73ad4b58.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4382620/normal_5f8b56a232802.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00007442.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00007442.bin)
    • https://s3.amazonaws.com/wuniku/bezavesexemawexox.pdfIn PDF document text
    • https://s3.amazonaws.com/ditiruz/english_1_textbook_9th_grade.pdfIn PDF document text
    • https://s3.amazonaws.com/jinabom/the_chaldean_oracles.pdfIn PDF document text
    • https://s3.amazonaws.com/dovulavavo/rozafawililuwagopafemud.pdfIn PDF document text
    • https://s3.amazonaws.com/gofiguj/calendario_de_vacunas_2018_argentina.pdfIn PDF document text
    • https://s3.amazonaws.com/mamukawaxatali/lowewawena.pdfIn PDF document text
    • https://s3.amazonaws.com/xanebavifamopez/how_to_become_a_successful_motivational_speaker.pdfIn PDF document text
    • https://s3.amazonaws.com/dugibabafod/formal_business_english_phrases.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/6499/1649/files/phantasmagoria_of_flower_view_gameplay.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0504/5403/6659/files/rewikakoxajekumuxod.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/0002/0130/files/guxisojexolikasedepap.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ac415a3f-9028-4d02-aea5-964f235126bb/wujevu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/495f21d7-7893-43e9-9e8b-a21cb55d9015/sazafegapu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ab9c3cf0-582f-459b-8662-fdebafcfbdf7/21475104347.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9081bc66-fab8-4a63-80bc-b721a6b4deeb/onkyo_rz820_review.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e2630c04-5ca1-47f6-a029-db5d497fa8d8/contiki_cooja_user_guide.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_off00007442.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00007442.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7442 5244 bytes
SHA-256: 5f0aa3f85051c3aa2c596ad73bd350b870b7dee5f797df33f2ad0d234637a590
font_01_sfnt_off0000861c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x861C 10196 bytes
SHA-256: f0de2dafd50d5a8132ef50c8456b7bb97abdc8a2a4dede9d8b237deb8d444179