Malicious PDF — malware analysis report

Static analysis result for SHA-256 72bd39c3e1b160fa…

MALICIOUS

PDF

49.6 KB Created: 2020-11-01 07:03:05 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-28
MD5: b9d12d5d9ad94d03686f67ed5b682b60 SHA-1: 06aff6c224b4af51080bd6c388bb587cc29ccd9a SHA-256: 72bd39c3e1b160fa50a7717a925e9d936e828813f234ab96c85bd0f2f0504595
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/123?keyword=dark+souls+3+carthus+curved+greatsword+best+infusion In PDF document text
    • https://cdn-cms.f-static.net/uploads/4369304/normal_5f9ceaab9ed74.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4408588/normal_5f9401983ec30.pdfIn 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://s3.amazonaws.com/mubefula/22546486070.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/695afc0b-baeb-41fa-9a24-15c41c08a422/lejararemafodagerab.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7f7d7ae7-61e0-417d-9406-4f0501c96202/fikazofekokabamediwu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cbc2b2ff-2472-45ec-82ae-ab1a365a230a/php_convert_to_image.pdfIn PDF document text
    • https://s3.amazonaws.com/kavitokolezub/ssc_stenographer_paper_download.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files2/mofemonalezo.pdfIn PDF document text
    • https://s3.amazonaws.com/tadovu/90398254427.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f7409f2e-223c-46cb-80a9-f27208d1d941/60781299968.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bde304be-228e-4aa6-85a0-6c3e922681f3/selujamekatidife.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0500/0272/2967/files/chegg_answers_free_reddit.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e4262d0d-c278-422f-a5ae-fad39e31e029/potanikugidogufejoxo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/76cade68-73b4-4d59-9882-77dbd8f88819/66122286184.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7992f10d-7ae5-429e-b4f4-9d1e728ef6ec/buturamizulasagokipajof.pdfIn PDF document text
    • https://s3.amazonaws.com/duzexefemosaxe/human_knowledge_bertrand_russell.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_off000072f3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x72F3 5684 bytes
SHA-256: 4cf31e43eb8934c8b44252b2c0107a179ca403344825ed774bb125e3bd507fdb
font_01_sfnt_off00008659.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8659 10532 bytes
SHA-256: ed95d3f6c723a791b869022f5e41ce250487cc09ee2fa6ae33e1be401b47888f
font_02_sfnt_off0000aa85.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xAA85 4324 bytes
SHA-256: 1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e

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