Malicious PDF — malware analysis report

Static analysis result for SHA-256 72b7d2770d2e01de…

MALICIOUS

PDF

46.4 KB Created: 2020-10-23 04:33:30 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-28
MD5: 0e61a8f33bdf17bc71dfaaba3d25ffef SHA-1: 5776bd305ea37e76ee8b6d815812e6341ad9c91b SHA-256: 72b7d2770d2e01de966330647921b5d4b9d6b04328b1218b77396c562fbf704e
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=beko%20fridge%20freezer%20cfg1552w%20manual In PDF document text
    • https://fodezamu.weebly.com/uploads/1/3/1/4/131407453/4f51f5465.pdfIn PDF document text
    • https://sixapinipuso.weebly.com/uploads/1/3/1/3/131384402/8948482.pdfIn PDF document text
    • https://ziwarojuwetupo.weebly.com/uploads/1/3/4/3/134343479/ca5f97824c340.pdfIn PDF document text
    • https://fekudumubaf.weebly.com/uploads/1/3/2/6/132681201/fazufate.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/numegubowalonan/papawedok.pdfIn PDF document text
    • https://s3.amazonaws.com/zirojopemup/17844487778.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files2/97513405289.pdfIn PDF document text
    • https://s3.amazonaws.com/gomakobez/4184337193.pdfIn PDF document text
    • https://s3.amazonaws.com/subud/sociology_question_bank_for_upsc.pdfIn PDF document text
    • https://s3.amazonaws.com/jazofi/safe_haven_assets.pdfIn PDF document text
    • https://s3.amazonaws.com/xozeb/adobe_after_effects_cs4_tutorial.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files2/canada_visa_application_form_pakistan.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0502/9511/1845/files/dreams_of_desire_apkpure_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/9037/0975/files/62677689364.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0494/6867/0119/files/fiqh_sunnah_sayyid_sabiq_english.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/0110/1473/files/cours_arcgis_10.5.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/8508/5870/files/programming_logic_and_design_9th_edition.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/1519/9646/files/76249527710.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2258c890-96ef-49d9-87e7-443aec4ff4c1/51786433586.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/18ac995a-5abb-4848-bb03-6e0427cd3c81/77789703145.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_off00007380.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7380 5728 bytes
SHA-256: a2870629199356b9755b3621e1dc5fdf148d8dcd5a77109b3aae5dc6da428ee8
font_01_sfnt_off00008715.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8715 11080 bytes
SHA-256: 077e58adcd5d783439afbe1e11c3c3ce10bbb4d100a66cb19137cbb5c5d2de20