Malicious PDF — malware analysis report

Static analysis result for SHA-256 03233c4f8fe6aea9…

MALICIOUS

PDF

65.0 KB Created: 2020-10-27 17:44:23 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-02-19
MD5: 5ba1e20f045e8e1b1e017d5bd7e71d1b SHA-1: ed6ae8ebc997f3a9ca083bc965562001930d8715 SHA-256: 03233c4f8fe6aea96ca7bece8b79dfcf2a2ca42e50409321f9dd722e4fe492ba
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://ttraff.me/pify?keyword=tekken+steve+fox+x+reader In PDF document text
    • https://bibeliki.weebly.com/uploads/1/3/0/7/130738572/8577010.pdfIn PDF document text
    • https://nozudasukexip.weebly.com/uploads/1/3/4/4/134441991/kafojoniwariv_rejogitawiviji.pdfIn PDF document text
    • https://suzokixuvajix.weebly.com/uploads/1/3/0/7/130776208/lawaramabub.pdfIn PDF document text
    • https://waripeseditalas.weebly.com/uploads/1/3/4/0/134012866/sozuvoxow.pdfIn PDF document text
    • https://lokixesope.weebly.com/uploads/1/3/1/6/131607163/5534778.pdfIn PDF document text
    • https://kobisizosupo.weebly.com/uploads/1/3/4/3/134316778/2190417.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/6ab5dd7d-ad18-43a0-8a37-cd87ad3e0d20/vatulu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/99578e73-fbe7-4256-9c46-6f4475f952f7/19600397427.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/638c7df3-695e-46b0-933d-a6ac1c656f66/jiturutovas.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0488/4008/1573/files/micro_business_environment.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/5664/4774/files/donald_goines_dopefiend_free_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/9331/0631/files/nijobenuvuvelal.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0268/7513/4135/files/79012877175.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0480/1547/4847/files/zambia_demographic_health_survey_2020.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/1631/3758/files/personnel_services_delivery_guide_pdf.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0458/9620/4442/files/bowflex_xlt_manual.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/1688/6678/files/proteinas_vegetales_texturizadas.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/1329/9102/files/42020044703.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/7645/5066/files/lapekipekir.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00008a8d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8A8D 16296 bytes
SHA-256: 98d664a8683612a69f5196e23084ffc0222b649c6ffbb1ec008d2e10bb288643
font_01_sfnt_off0000beb8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xBEB8 5012 bytes
SHA-256: 1223fa6daaea9a5962776e9e076eb449df771207d4b92b6670e3c7854e3e39cb
font_02_sfnt_off0000cfdd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xCFDD 11680 bytes
SHA-256: 2f5ac940d072a3c99cc6317a0d8c0cc90c4aa2b96a69f6073e893e0f69c41503

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