Malicious PDF — malware analysis report

Static analysis result for SHA-256 6582d4909ffe17bd…

MALICIOUS

PDF

46.0 KB Created: 2020-09-09 15:18:47 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: f7b0648c12268049f1da0659c3796950 SHA-1: 3d6d9113e83fdb52669719f03fbb964aa7372038 SHA-256: 6582d4909ffe17bd2b4ef8b25e856a7b3db9ba0b6a549c33bfe2c42a79834d17
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=queen+size+bed+sheets+near+me In PDF document text
    • http://mefozaneb.litturi-photography.com/uploads/1/3/2/7/132710567/rijusiwub.pdfIn PDF document text
    • http://files.joshkurzweil.com/uploads/1/3/1/4/131407918/22d48c5b6e2f94.pdfIn PDF document text
    • http://wixitusoj.kyleworshammd.com/uploads/1/3/1/4/131453870/xezutexuwul_delula_sujuberonekobu.pdfIn PDF document text
    • http://dupemano.greyriderfordixiecom.com/uploads/1/3/2/6/132681834/weregusu_vegona_wudimal_rupub.pdfIn PDF document text
    • http://files.cheezelo.com/uploads/1/3/0/8/130874197/1407955.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/5109/6993/files/nusibifamipusa.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0451/4558/7877/files/manual_de_bacteriologia_medica.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/3313/3209/files/resekasivugolizimakuxujaj.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/1267/0111/files/22774765367.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/6784/2459/files/learn_german_book.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/4f270c_fa55ccefd3754a9bb814052d7682452f.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/3bf302_09d58028e41b40f7b853ab3d7dc5a688.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b8c837_f20c8a843dca4c0fb47fb30996a38280.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/a9e086_19d2b65694794a999f9664067e522cfa.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/739437_d3d1cfb4d80e409ab3b69cfc9ce7c69b.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/938c70_f0a1c5eeb26141db8cea8877cee15765.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/3e87bf_71d036d95afa4c819d87473b42ca2c09.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/665c20_9775c5303fd6463395e3bb433c7e8ae7.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_off00007689.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7689 5284 bytes
SHA-256: cb49400743ea71f40d01d3a65f35ad771640c64ea424c87fa7b0156ce865bfd8
font_01_sfnt_off00008856.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8856 10140 bytes
SHA-256: 3a8955039f2cefbb307b425830a1b5934c291e653cc189eca744359916cd8f22

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