Malicious PDF — malware analysis report

Static analysis result for SHA-256 74036a428a49d2bc…

MALICIOUS

PDF

44.5 KB Created: 2020-10-25 08:42:51 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-02-23
MD5: c39d2ef9a4050cefd8eeb9f732ceb353 SHA-1: 978e177954c255e7fac5ed5a08097011ee5e9b60 SHA-256: 74036a428a49d2bc87975bef7765ad4a42ba7061af582ed75b710dfbcbce2aad
184 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.
  • Small PDF is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARM
    Small PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
  • 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.cc/123?keyword=different+types+of+lighting+in+photography+pdf In PDF document text
    • https://ridolagu.weebly.com/uploads/1/3/0/7/130775195/solunopopevuve.pdfIn PDF document text
    • https://dokodajibebabek.weebly.com/uploads/1/3/2/3/132302773/b38b98858.pdfIn PDF document text
    • https://gexirirexov.weebly.com/uploads/1/3/0/8/130874239/sikawudivikurulux.pdfIn PDF document text
    • https://meporolokiso.weebly.com/uploads/1/3/2/6/132681401/5471893.pdfIn PDF document text
    • https://puliwavigajog.weebly.com/uploads/1/3/4/4/134469254/bdb8f2a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370777/normal_5f8ead7d3b21e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368481/normal_5f87bb8d2c52a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367964/normal_5f89ff53dab09.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366365/normal_5f87832ae3da3.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4383916/normal_5f8beaa879d19.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4381082/normal_5f906575181f1.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/bakoloj/59271207162.pdfIn PDF document text
    • https://s3.amazonaws.com/gewuwasi/gerard_de_vries_bruno_latour.pdfIn PDF document text
    • https://s3.amazonaws.com/widuxade/32562208705.pdfIn PDF document text
    • https://s3.amazonaws.com/lezopobigeza/automobile_engineering_subjects.pdfIn PDF document text
    • https://s3.amazonaws.com/fovezewi/autoregressive_model.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/3730/2685/files/handwriting_practice_book.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/3082/6141/files/42015617978.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/4977/0395/files/sukenikonowapibunuvid.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/6988/5601/files/wugabunowelokilukesof.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_off00006e88.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6E88 5404 bytes
SHA-256: 3425e35ebe647f92531d3bd46bc1dce6f9363850fe81c3114a74060def7fc381
font_01_sfnt_off000080f5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x80F5 10480 bytes
SHA-256: 60e1f329048bc0eb45dd674a8e39a020d058aa7290009cb469e68e842ac92295