Malicious PDF — malware analysis report

Static analysis result for SHA-256 af218541d96cb9c9…

MALICIOUS

PDF

45.1 KB Created: 2020-10-12 10:49:49 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-21
MD5: 34f87313588393421b4eb2f1302ada84 SHA-1: a4868db4b0ed0c4b3ed53b9b343216228cd65fa9 SHA-256: af218541d96cb9c9044c70c2a4105a1783c595b6c5008e55fdda495a71bfa25b
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://gettraff.ru/strik?keyword=talking+tom+2+mod+apk+game+download In PDF document text
    • http://taruno.teriannescoble.com/uploads/1/3/0/8/130873782/6798103.pdfIn PDF document text
    • http://sozutow.thomasrgray.com/uploads/1/3/2/3/132303108/07db48d5d1.pdfIn PDF document text
    • http://files.thingsfromthebasement.com/uploads/1/3/2/6/132681891/7b8e7c69.pdfIn PDF document text
    • http://files.alaasimahschool.net/uploads/1/3/0/8/130874347/minexuvafa-fowijepogazifu.pdfIn PDF document text
    • http://mativaxa.sarahmartinarendt.com/uploads/1/3/0/7/130776617/efeaf7748.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/0aa3e8fa-a7ab-49d2-a8b8-6fe85bdba1a3/34436849308.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/31f30ace-be42-4f45-a4f7-948babb4494e/wilaveg.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0843c8f7-c894-4315-afc8-f001fa5c53ab/padevubov.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/beb85741-a197-4ad1-8cb4-ddbde296a7ab/vakizamafiteled.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/1349/0846/files/ranifetidivu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/1984/5278/files/navy_seal_sniper_manual.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/0056/8736/files/introduction_to_radar_systems.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/9903/6579/files/sabagewobosukeka.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/3254/2369/files/32774126450.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/3049/4878/files/2311554412.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/8866/1666/files/gapimumiwugusi.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_off00007174.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7174 5240 bytes
SHA-256: 489c06b74c5d104832450208ef1d06f839ad8e01afcdf1651983425a6ff67fad
font_01_sfnt_off00008350.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8350 10456 bytes
SHA-256: ee8e88bca8a323afa39fdd6c74835c69061eef6e709f50f7e2533a29cb66c65b

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