Malicious PDF — malware analysis report

Static analysis result for SHA-256 e731cc1d65c679c1…

MALICIOUS

PDF

50.3 KB Created: 2020-10-27 15:59:50 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 0a2c06d5ef087401bc2372f9da27e39e SHA-1: 4a920cb8db165c545d134d67f81c3a5f85d2974e SHA-256: e731cc1d65c679c1433f4ba5cf7dee26eb63b17d537b04da4c36b9d18877a1ab
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=office+depot+graph+paper+composition+notebook In PDF document text
    • https://cdn-cms.f-static.net/uploads/4383794/normal_5f8e4b05685db.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4380871/normal_5f8c9788dd1c0.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4380699/normal_5f8d635257f7c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4393180/normal_5f8f672983a3f.pdfIn PDF document text
    • https://mefemanodi.weebly.com/uploads/1/3/1/4/131454269/49131.pdfIn PDF document text
    • https://puvebimu.weebly.com/uploads/1/3/4/3/134311544/3115516.pdfIn PDF document text
    • https://pezopipowom.weebly.com/uploads/1/3/1/4/131406060/fizijarija.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/xapidajovaji/arduino_tft_library.pdfIn PDF document text
    • https://s3.amazonaws.com/sojebelevenex/damodar_ashtakam.pdfIn PDF document text
    • https://s3.amazonaws.com/wixamupelinere/certificado_medico_prenupcial_estado_de_mexico.pdfIn PDF document text
    • https://s3.amazonaws.com/baxegezivumi/30351616531.pdfIn PDF document text
    • https://s3.amazonaws.com/gewuwasi/24942943449.pdfIn PDF document text
    • https://s3.amazonaws.com/zirojopemup/85306176162.pdfIn PDF document text
    • https://s3.amazonaws.com/sinadi/56587290949.pdfIn PDF document text
    • https://s3.amazonaws.com/lodazojamuva/86729284285.pdfIn PDF document text
    • https://s3.amazonaws.com/lixasifasi/89226605784.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/9168/0150/files/using_similar_polygons_worksheet_answers_math-aids.com.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/7659/2815/files/thorsten_schulte_fremdbestimmt_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0492/2808/7452/files/rawoga.pdfIn PDF document text
    • https://s3.amazonaws.com/pizexopenaxu/6800203971.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files/bafg_formblatt_1_anlage_2.pdfIn PDF document text
    • https://s3.amazonaws.com/susopuzupure/palaf.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_off000081aa.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x81AA 5768 bytes
SHA-256: 09df84e105a99f29074e1696d4a12c1c4b1b94b44e666c1cba32429f2a8dca57
font_01_sfnt_off0000951f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x951F 11412 bytes
SHA-256: de399df49b40d7655a5a0188034262cc15b03be3defa1e8be5016cc4ad23581f