Malicious PDF — malware analysis report

Static analysis result for SHA-256 67dcaed72ba04854…

MALICIOUS

PDF

45.2 KB Created: 2020-10-29 06:09:52 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: 10d11a2911da31fe607fb46cf047d6b3 SHA-1: 27abdb8b04f6e4c017a7aaad6fba634040e3cbcb SHA-256: 67dcaed72ba048548f0e78de9a1dc357529551bde336dcb330d39942d24c61d8
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/aws?keyword=fedex+pending+delivery In PDF document text
    • https://cdn-cms.f-static.net/uploads/4367294/normal_5f874b9b7c104.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365639/normal_5f8dc2c56a06e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366662/normal_5f8842eba776f.pdfIn PDF document text
    • https://bonujuvab.weebly.com/uploads/1/3/2/7/132740321/tulubaposite.pdfIn PDF document text
    • https://miwilokak.weebly.com/uploads/1/3/4/3/134375457/4193709.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4383805/normal_5f9958f6261d8.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00007274.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00007274.bin)
    • https://s3.amazonaws.com/moduxanakuri/dapegim.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d6e72801-5d5e-4f15-b1c1-bab7fd95b2d5/82032732004.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/fa0516b5-3e4e-4a7d-b684-26849cebc0b5/analisis_despues_de_impuestos.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/732b78fb-07ee-4513-8d6f-7446f4eb66c3/applied_predictive_modeling_max_kuhn.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4184f6d0-9171-4568-b5c9-594bae516998/91011580510.pdfIn PDF document text
    • https://s3.amazonaws.com/bidurudilidujug/pubazivajikanox.pdfIn PDF document text
    • https://s3.amazonaws.com/rotowan/aes_media_center.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/43aea424-b9cf-4266-824d-4510d2baf2fb/rujul.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6fbc9e66-ab82-4a44-8a0f-038510bc8028/26043715989.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/96570916887.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4966a021-49d3-48b6-ab93-20e8fd5b2902/saligesalizajite.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d93e6322-186c-4965-baec-117080a243d1/31732678363.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/16cc827d-9ef3-4284-a6ff-96194e96cd3c/76214339846.pdfIn PDF document text
    • https://s3.amazonaws.com/wonoti/australia_map_template.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_off00007274.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00007274.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7274 4924 bytes
SHA-256: f9f94b878495009cc22a6f883b97c94ecf63f9298ff78c4f1d6d7a17aafa64ba
font_01_sfnt_off0000835b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x835B 10668 bytes
SHA-256: 950ae08998c36c53e8ca404378b73517d77a3bd681b9fd2e83b593f37a1e0a36