Malicious PDF — malware analysis report

Static analysis result for SHA-256 9cf001c0b0a9b286…

MALICIOUS

PDF

51.3 KB Created: 2020-10-28 11:34:58 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14
MD5: a2b0569b9de98d2096a6d87094762ae9 SHA-1: 2fab4bb9e6af2046e7dafab896a0adbdb3544d6e SHA-256: 9cf001c0b0a9b286b81dc9b549f2fa1ba68e4cf4c1268cfb6edf5d3d953d72f4
154 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1190 Exploit Public-Facing Application

The PDF document was flagged by a machine learning classifier as malicious and contains a critical heuristic indicating it links to known malicious redirector infrastructure. The document body, though heavily obfuscated, contains the URL https://gettraff.ru/strik?keyword=words+with+z, which is likely the primary malicious destination. The presence of numerous other links to PDF files hosted on Shopify and S3 suggests a link farm or SEO manipulation tactic, potentially to obscure the malicious redirector.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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.
  • 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://gettraff.ru/strik?keyword=words+with+z In PDF document text
    • https://xelefivaj.weebly.com/uploads/1/3/4/2/134234850/nepikiniwosu.pdfIn PDF document text
    • https://vebifejelib.weebly.com/uploads/1/3/0/7/130775119/fiduleku.pdfIn PDF document text
    • https://kizutinapetesod.weebly.com/uploads/1/3/4/4/134490845/1734718.pdfIn PDF document text
    • https://vozupixog.weebly.com/uploads/1/3/4/3/134312338/81b125a98894.pdfIn PDF document text
    • https://zesopupejilit.weebly.com/uploads/1/3/0/7/130738861/bebuvelalogadew_sabemo.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/9383/5432/files/36807661575.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0463/5639/8246/files/97065571663.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/5351/3881/files/72716872779.pdfIn PDF document text
    • https://s3.amazonaws.com/megulu/45223239494.pdfIn PDF document text
    • https://s3.amazonaws.com/kezemiradigu/cuadro_medico_asisa_cordoba_2018.pdfIn PDF document text
    • https://s3.amazonaws.com/mijedusovineti/arreglo_de_capacitores_en_serie_y_paralelo.pdfIn PDF document text
    • https://s3.amazonaws.com/zarusegibitumet/38756684915.pdfIn PDF document text
    • https://s3.amazonaws.com/robumuduluwise/autocad_civil_3d_2016_essentials.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0480/5004/5092/files/graco_travel_crib_instructions.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/5065/8723/files/arkansas_activities_association.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/8670/3512/files/58503575458.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0476/0403/9836/files/73847837928.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/af82a3cc-6229-423b-8053-0f710f09017e/rovitalunivuxakuxajuxevus.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2c5c8c03-d6d5-4378-b773-7e438f36cf85/vepejegelomagux.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7eef5296-193d-4361-9f79-a7ec9aa4d7e1/13092530672.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2f413d8f-fe99-4b88-9880-7d2ff1c3f0d8/gagoz.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d1906980-2b5d-45d2-9fd3-59b4212779ba/xelerob.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_off00008944.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8944 4828 bytes
SHA-256: 7722e916d0f442c1770711891cb6f1ae26be28e84d69f19ec23b07262ac6a799
font_01_sfnt_off000099cb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x99CB 11372 bytes
SHA-256: 844e1b8a6e8786f8a2e8a44d074b9f17c92167cd6e70997c237acba951d0ccae

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