Malicious PDF — malware analysis report

Static analysis result for SHA-256 7821844768383dcf…

MALICIOUS

PDF

50.2 KB Created: 2020-10-04 04:37:11 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-16
MD5: 5fdfd569ff8c4ed26ae869d2951d5ecf SHA-1: c8b07b0ec1fefa4f7e534d1c6d2d251f9187ca65 SHA-256: 7821844768383dcf863bd8eb2a064e042d4f81b131cd33b1a415b53e549e3ff2
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=introduction+to+aeroelasticity+and+loads+pdf In PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://uploads.strikinglycdn.com/files/0a461086-91ac-45c6-bebd-a513aea18fdd/32193357309.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/efc692bf-1781-40ac-b0c7-2681fb0500d2/milepekexalosogexitofopu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/28180ae2-50f0-4d06-9ace-c999c1fa3be6/kufulufatawikigujisusel.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1a2c6283-c465-43f5-b169-2b97bd3d55ed/gatimidovorude.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/aaa003fb-26d3-4e18-abae-15bf94469946/kalodajegebadi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/9763/7535/files/resesaf.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/5953/8851/files/anxiety_nursing_diagnosis_as_evidenced_by.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/2452/2143/files/buvuwapafezamabidorubajo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/2980/6242/files/xizomivexisas.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/8948/8792/files/mini_metal_lathe_tools.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/dcf396d9-76cf-443a-a9d7-d671aabe2a6c/kirulidunuvakevoboligit.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d5202f53-7cdf-4c64-aac1-8cd836b579a8/76837475416.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/78e1a957-367e-4cc1-ad99-4352b6d42593/48980406347.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/435d1085-8068-4f16-8fce-dbbaf20bb2b6/10757389729.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_off00006f37.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6F37 5072 bytes
SHA-256: 81569bc3a742d362600403906293cc34a314b2ad88a78ca85629fc99c36625bb
font_01_sfnt_off00008081.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8081 14520 bytes
SHA-256: 11fd787f03e49ce00acc05faa7efb66de7d86f2b2a587094d6c3b2835dcd686a
font_02_sfnt_off0000adbf.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xADBF 4324 bytes
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2

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