Malicious PDF — malware analysis report

Static analysis result for SHA-256 45ee474c24249def…

MALICIOUS

PDF

43.4 KB Created: 2020-10-16 01:24:48 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-17
MD5: 7a70e0d7b66204b86115bdcaf28afa3d SHA-1: bd5a989f0ba44ad8f5530ce9eb5a7d55332abbb2 SHA-256: 45ee474c24249def649e244ee01ffcf3c3f9b828ad57b061c52210a1fb79bfc2
184 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.
  • 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://gettraff.ru/strik?keyword=android+get+unique+device+id+programmatically In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366400/normal_5f87d2d65e649.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367017/normal_5f88be9202880.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4371783/normal_5f88bd87654c7.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366347/normal_5f88209e22153.pdfIn PDF document text
    • https://site-1048184.mozfiles.com/files/1048184/wisume.pdfIn PDF document text
    • https://site-1039963.mozfiles.com/files/1039963/linetoxelenopemo.pdfIn PDF document text
    • https://nitiruminaxodax.weebly.com/uploads/1/3/0/7/130738633/jazukov_letik_zipojujinonol.pdfIn PDF document text
    • https://genigudepa.weebly.com/uploads/1/3/1/0/131070712/tadib-pepalitegugoj.pdfIn PDF document text
    • https://guwomenod.weebly.com/uploads/1/3/0/8/130873843/pejajofedaxevaw_kozadesupuke.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366022/normal_5f88cba4a480e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366645/normal_5f88bbc218613.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369486/normal_5f8818e5777ba.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366978/normal_5f8743e3591d3.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/1/0432/8285/8144/files/15390724282.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0494/4160/3762/files/level_up_5e_rogue.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/2727/9267/files/my_soc_lab_answers.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/1686/5952/files/atlas_social_studies_book.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0494/1509/4439/files/86768298582.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a43c535a-7f68-44d7-85fa-bca198a94a7a/38440854863.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e0c14e87-fbea-4236-92e1-14bbb3bce376/90084636743.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_off00006c5b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6C5B 5492 bytes
SHA-256: 4ade6fc7b623e9b4cdb165ffe3b67ec664a1e4938497e18828ac6cbbee8c16bd
font_01_sfnt_off00007ef0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7EF0 9608 bytes
SHA-256: 24ba50fb6adbd985b500f2d5cbf6be8ec9b381ec6507c033bbad98ea39c27117