Malicious PDF — malware analysis report

Static analysis result for SHA-256 96442b6a1e0af09f…

MALICIOUS

PDF

42.3 KB Created: 2020-11-05 08:32:51 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: d7333a9ce437f8e2e9ac7429cb143125 SHA-1: b9497f4dc06c20a8683e02c98f54353a641d1c7e SHA-256: 96442b6a1e0af09fe1b1eb62f0f561d58885dd1ffdd4009f9c0381ed589aaa0e
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/strik?keyword=cookie+clicker+hacked+game In PDF document text
    • https://cdn-cms.f-static.net/uploads/4374360/normal_5f88ec82bd772.pdfIn PDF document text
    • https://jakedekokobara.weebly.com/uploads/1/3/1/3/131381480/7d3707d5d.pdfIn PDF document text
    • https://mufalugibesenu.weebly.com/uploads/1/3/1/4/131453255/bec631f7618c5.pdfIn PDF document text
    • https://dowikonusinewe.weebly.com/uploads/1/3/4/3/134374018/motopemesixoxi-pubodugode-xelanomotigit-zoxivomovatasix.pdfIn PDF document text
    • https://tetobalowuw.weebly.com/uploads/1/3/4/5/134523757/fabit_tunotulosamedu.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/mefadedosuw/learn_python_3._6.pdfIn PDF document text
    • https://s3.amazonaws.com/fosagoba/29651813878.pdfIn PDF document text
    • https://s3.amazonaws.com/susopuzupure/52460051890.pdfIn PDF document text
    • https://s3.amazonaws.com/jamokaroxoj/4470516.pdfIn PDF document text
    • https://s3.amazonaws.com/joterige/it_project_manager_cv.pdfIn PDF document text
    • https://s3.amazonaws.com/zetare/56630960075.pdfIn PDF document text
    • https://s3.amazonaws.com/solonebosop/zufikuxeg.pdfIn PDF document text
    • https://s3.amazonaws.com/mijedusovineti/wonder_book_summary.pdfIn PDF document text
    • https://s3.amazonaws.com/kavitokolezub/tatakosokuvexobofemorate.pdfIn PDF document text
    • https://s3.amazonaws.com/biwubeleba/golitopubos.pdfIn PDF document text
    • https://s3.amazonaws.com/tipikaxe/sennheiser_urbanite_xl_wireless.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_off00006669.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6669 5144 bytes
SHA-256: 225218a4693195a733a4e7bba17abc06d46412650cfab24047a1abddf4fc4225
font_01_sfnt_off000077bb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x77BB 10556 bytes
SHA-256: c2d949801cb7c7573f4dbdda9bdd8c6e91d318f82a8a0ab869be9731c2137f99

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