Malicious PDF — malware analysis report

Static analysis result for SHA-256 26fea7bf37649025…

MALICIOUS

PDF

48.3 KB Created: 2020-10-23 08:38:09 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-07-19
MD5: ed0d02e9a1b8b40614d917e8b0d4f697 SHA-1: 8364b30e5d3c861864f4384b5281f0c88626bfb2 SHA-256: 26fea7bf37649025b4ac618b1243bb1dea6c6370f19e9e002713e3eb560c1a3f
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://ggtraff.ru/wb?keyword=avl%20tree%20data%20structure%20pdf In PDF document text
    • https://s3.amazonaws.com/mijedusovineti/english_grammar_exercises_for_class_7.pdfIn PDF document text
    • https://s3.amazonaws.com/subud/xovukojukamurizowi.pdfIn PDF document text
    • https://s3.amazonaws.com/tokafanawa/85416283950.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4373240/normal_5f8a0a704f362.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365598/normal_5f87430549051.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374517/normal_5f9261edb3278.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366308/normal_5f8743689b72f.pdfIn PDF document text
    • https://kikuvabafot.weebly.com/uploads/1/3/4/3/134332304/wotepuwoje_xabofuxufekanag_sidejemo.pdfIn PDF document text
    • https://sujajikozodes.weebly.com/uploads/1/3/1/3/131384638/6918844.pdfIn PDF document text
    • https://fotejisatowonu.weebly.com/uploads/1/3/2/3/132302873/wazatekeximaxu-jexusakakelar-tobul.pdfIn PDF document text
    • https://kupugaxome.weebly.com/uploads/1/3/0/9/130969415/62f6eb8a0c.pdfIn PDF document text
    • https://s3.amazonaws.com/wujapu/blended_e-_learning.pdfIn PDF document text
    • https://s3.amazonaws.com/lupebesu/sogiluvovoniramufowebigu.pdfIn PDF document text
    • https://s3.amazonaws.com/subud/business_partnership_proposal_sample.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000074df.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000074df.bin)
    • https://cdn.shopify.com/s/files/1/0496/6714/5879/files/don_quixote_character_facts.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0487/0229/2118/files/64828889938.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0500/9470/2763/files/best_youtube_apk_for_android_tv.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/69c7eb26-3e7c-4282-ab79-15a32e936e06/lolesogonedas.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8dfe4f50-afc7-4a9d-a926-077921f0fc3b/47260574608.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/65f4dc56-d314-4d85-b229-b24c729100e4/bizuvuk.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_off000074df.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000074df.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x74DF 5196 bytes
SHA-256: ffc85df0939b7d326fcf674b97f0c5518ecc0065af9dd367dce049a30868bc5f
font_01_sfnt_off0000869c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x869C 14304 bytes
SHA-256: 054ad4709393ebd17f9a5f0127bf70e907a06eedae026fdd65d5e4c67908a0b8