Malicious PDF — malware analysis report

Static analysis result for SHA-256 7dfddff58662b507…

MALICIOUS

PDF

39.2 KB Created: 2020-11-06 04:38:53 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: 07e8038e8859a7f28c5a3fb4f4c7f219 SHA-1: fa0fa8d10aa388ae0168788f3e730dfb4acd9e87 SHA-256: 7dfddff58662b507c35b928231218a8b00e25a65c646afaaff7ade5fa1a74e5a
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://traffine.ru/123?keyword=all+secrets+learn+to+fly+2 In PDF document text
    • https://cdn-cms.f-static.net/uploads/4413363/normal_5f984f03e6525.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370304/normal_5f8c91187ca1b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370275/normal_5f8bf89a19c53.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4376600/normal_5f98b0916bf82.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4372373/normal_5f8a2a6f0d2f0.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/fapaga/capacitores_weg.pdfIn PDF document text
    • https://s3.amazonaws.com/gosete/34539699601.pdfIn PDF document text
    • https://s3.amazonaws.com/megodipewukitoj/ludizomawadogowututo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/8442/6663/files/bibbo_cytopathology_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0503/8941/8136/files/78215045910.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/61abc495-a78b-49cd-9dfa-02937333400b/vawebuworelosiponuwupazif.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_off00005816.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5816 5100 bytes
SHA-256: aedba36d009beb76f537a2a2cfb52696905cb6695d5e1c34a49fd66b47eb9ccf
font_01_sfnt_off0000698a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x698A 11432 bytes
SHA-256: d1bae167103f1e5654179699d1530e7702a4e02803d4054da4536cbede910fb3