Malicious PDF — malware analysis report

Static analysis result for SHA-256 5e4043456b3564a0…

MALICIOUS

PDF

42.8 KB Created: 2020-10-26 02:42:13 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: 18e0bcbac8d14074290c860153e5c7b2 SHA-1: 12e7b3dfb30c58e9703b05032b67e4a2148fccaf SHA-256: 5e4043456b3564a0f12932953e16b8d48e3f160298b87cf624c12253fdae6412
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/123?keyword=english+synonyms+and+antonyms+dictionary+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4378604/normal_5f8c18e0a940d.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00006745.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00006745.bin)
    • https://uploads.strikinglycdn.com/files/81d37016-4450-40d2-8ee6-51d7eaf3bfb1/93349384146.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4d84a848-d33f-418a-a92f-c61936e40209/nobapadade.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/44fcc544-94bb-476a-bf8a-3edbc5958e11/bevuxikaropuxov.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/fdcfc801-0c4e-4577-b77b-44c099a3175d/im_not_that_girl.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/737149c5-88fc-4c78-b3fd-c6b1a4635f76/luggage_tag_template_indesign.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/5555/3443/files/rigowokorugazor.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0500/4273/2694/files/enregistrer_classeur_excel_en.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0440/7777/7061/files/how_to_upload_image_using_retrofit_android.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/3588/8296/files/mod_robbery_bob_android_1.pdfIn PDF document text
    • https://s3.amazonaws.com/fadedosi/ecological_resilience_in_theory_and_application.pdfIn PDF document text
    • https://s3.amazonaws.com/xakapudakadu/peruwusima.pdfIn PDF document text
    • https://s3.amazonaws.com/fatisake/hernia_discal_lumbar_tratamiento.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d490d30e-c705-48a5-8c01-60f66e2bcd2c/govefejijodif.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6480f0af-8f96-4ca8-b0a9-137459b9a0c9/9044447496.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/991350c5-5183-4733-ba54-8c38bfca6d21/bumovowetebu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f5db1f8e-2a87-4101-b12c-3c2e8523581c/sefitopewewupezi.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8b431cae-4708-45e4-9e4c-9411aa2ccd21/83869689344.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f51cd0e7-098d-48fa-9675-406a29da23a7/nolikedimuvowobu.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_off00006745.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006745.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6745 5628 bytes
SHA-256: 9b32294ea38fca2d2ba6d647197c632838291bfce0e9ed4dcf34efedca65eacc
font_01_sfnt_off00007a42.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7A42 10540 bytes
SHA-256: b358136ed16cfca9b1692b81cc4cffa76adb51642c5633eb3eddc8478137724e