Malicious PDF — malware analysis report

Static analysis result for SHA-256 87a367e53f5463f6…

MALICIOUS

PDF

52.2 KB Created: 2020-10-28 10:57:26 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: 42f238d283ab691292e1c1e447b68682 SHA-1: 00515db8f53e2be22e922b679c86331b1aea21d7 SHA-256: 87a367e53f5463f68a46363bc504c00b17b0ac3e9b86e60c85a35513506dc5e4
124 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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 is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARM
    Small PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
  • 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=deep+learning+in+python+github In PDF document text
    • https://sonotipudo.weebly.com/uploads/1/3/4/3/134326760/warabamu_rosumomomoj_jusuzup_zuritar.pdfIn PDF document text
    • https://vikumeniwexawud.weebly.com/uploads/1/3/0/9/130969440/8919482.pdfIn PDF document text
    • https://wejibuxod.weebly.com/uploads/1/3/0/7/130740202/wusepokolukekoteneza.pdfIn PDF document text
    • https://satewode.weebly.com/uploads/1/3/1/4/131407014/05c87bd.pdfIn PDF document text
    • https://resudejo.weebly.com/uploads/1/3/4/4/134471902/78c829e8.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4378852/normal_5f93cfc897d27.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4391602/normal_5f8fedd71f307.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366620/normal_5f88260e6c3d6.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368503/normal_5f8966a8286c3.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00008b44.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00008b44.bin)
    • https://uploads.strikinglycdn.com/files/0e6e7bc5-eda1-407b-9ad9-fc3f35865df9/17911219258.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ab572886-408e-4f39-ac96-4f56ed30a465/7781103116.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/480fc5a4-741a-4531-852e-95556b1a4f6b/vezakafefowaxonitososud.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d8d2f053-3b54-443e-95e9-ea9fe50367bf/63283281122.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/258d4cfd-4d91-4fe7-aff8-b126652a865f/favasukutuxukamekojifoz.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/95e76d89-ffbe-42bb-9023-306fafaca1da/xetifaxibipajumaripameg.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f59138b1-96c6-497e-a8ff-b40f7fabf16e/problemas_de_suma_para_primer_grado.pdfIn PDF document text
    • https://s3.amazonaws.com/memul/77629996853.pdfIn PDF document text
    • https://s3.amazonaws.com/vavapekadoliti/wepogefebawusos.pdfIn PDF document text
    • https://s3.amazonaws.com/wulagisi/free_books_download_quora.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0480/7481/7693/files/zifemulav.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/3673/5645/files/fosurafenetifatenavawepen.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/9536/8876/files/lenuri.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/8646/2106/files/large_face_watches_australia.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_off00008b44.bin)

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00008b44.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8B44 5144 bytes
SHA-256: 2566fdd85236570ca97d1041a67953e37b690adfd0533b0b5abb7dce9caf4650
font_01_sfnt_off00009cc4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x9CC4 11160 bytes
SHA-256: 6f0fa2c2189dbe4fef8a9e5510323a8ae5f193795ec405c34b566721171d7cbd

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