Malicious PDF — malware analysis report

Static analysis result for SHA-256 e8c376128f950f28…

MALICIOUS

PDF

33.4 KB Created: 2020-11-01 05:11:51 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-03-01
MD5: 4f7f4fa28aecf7bbfbdec6721c0f3a6f SHA-1: 4fe6927a88c558609d5516385e8e39b682f5e44d SHA-256: e8c376128f950f28d0b15862571fbe19debb90b37d7b3b935e706d451161b5a7
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/123?keyword=lego+duplo+table+uk In PDF document text
    • https://cdn-cms.f-static.net/uploads/4369903/normal_5f8d1fc50f0cf.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4379385/normal_5f95cbc146514.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4383925/normal_5f97a28beb026.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4383797/normal_5f8e1c59e9a4c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370068/normal_5f8c12d24cd30.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369935/normal_5f9e24d091474.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/1/0504/6432/5792/files/96051533459.pdfIn PDF document text
    • https://s3.amazonaws.com/sajatesawodiji/numbers_in_polish.pdfIn PDF document text
    • https://s3.amazonaws.com/lorifumofelu/nananas_buried_treasure_light_novel.pdfIn PDF document text
    • https://s3.amazonaws.com/sorogamat/negebidijewi.pdfIn PDF document text
    • https://s3.amazonaws.com/wisuw/cultivo_de_arandano_en_el_peru.pdfIn PDF document text
    • https://s3.amazonaws.com/sugaguxagu/pawoxuwomowejubili.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0503/0445/0727/files/93301120809.pdfIn PDF document text
    • https://s3.amazonaws.com/loxopudizus/39994970275.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0504/5528/1839/files/temperamentos_sanguineo_colerico_flematico_melancolico.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0507/0605/5360/files/resumen_de_romeo_y_julieta_brainly.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_off000046b5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x46B5 4996 bytes
SHA-256: 2788487db318b798984a5dc43df9d6ae27e457f5206e8d3ed5c6adbb79f0f3ab
font_01_sfnt_off000057cd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x57CD 9780 bytes
SHA-256: fe28b1b6c576e7dd312ac2a710d3304520013174c78df52160f0c85ad43559f6

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