Malicious PDF — malware analysis report

Static analysis result for SHA-256 9496705753dd8e13…

MALICIOUS

PDF

48.6 KB Created: 2020-10-26 14:47:11 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: 544a66d6a0a19cad60304a3155192b75 SHA-1: f99f013359b79fa10736a710685075fb0366d9cd SHA-256: 9496705753dd8e132f08f335d0210d838cb3425340d18b281c69493152e01da4
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=download+game+fidget+spinner+io+mod+apk In PDF document text
    • https://cdn-cms.f-static.net/uploads/4408712/normal_5f938be31c375.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4383577/normal_5f94f5957ed6d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366348/normal_5f8fef62e1da6.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000068ea.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000068ea.bin)
    • https://uploads.strikinglycdn.com/files/38e6de89-cc4e-4091-b900-37659acc29bd/en_quepoca_sucedio_les_criptas_de.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cd372d99-8667-40c8-b4dc-df9f6fc03fcc/91422558932.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c7598695-3daa-430f-a92a-bb5aac22e117/lutun.pdfIn PDF document text
    • https://s3.amazonaws.com/fasanag/adjective_order_exercise.pdfIn PDF document text
    • https://s3.amazonaws.com/wonoti/63263501078.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/acing_the_new_sat_math.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/3884/6359/files/predictive_text_android_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/4674/3449/files/45189372789.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/4646/1855/files/federalism_webquest_worksheet_answers.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/7597/0236/files/patent_ductus_arteriosus_journal.pdfIn PDF document text
    • https://s3.amazonaws.com/kavitokolezub/naforufovixawufizawike.pdfIn PDF document text
    • https://s3.amazonaws.com/zuxadol/87908603570.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 extracted file (font_00_sfnt_off000068ea.bin)
    • http://dejavu.sourceforge.netIn extracted file (font_02_sfnt_off00009ef7.bin)
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn extracted file (font_02_sfnt_off00009ef7.bin)

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000068ea.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x68EA 5516 bytes
SHA-256: b28c458ce9146b367d56840e91c44783572a8d6fa54d5352cd950a92705a1221
font_01_sfnt_off00007baf.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7BAF 10252 bytes
SHA-256: 379f214a26eba98ded82c0f2a115136902421a87fa6c6d143fad208d0598d2ca
font_02_sfnt_off00009ef7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x9EF7 16272 bytes
SHA-256: 82b32699d950f0d2801881094b97f6a3b10b5d147672c8518649046776eee3b8