Malicious PDF — malware analysis report

Static analysis result for SHA-256 b0e0467f446282d5…

MALICIOUS

PDF

39.9 KB Created: 2020-10-31 15:51:20 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: de13e7ad8dc6c0ba51fd55bb360a6605 SHA-1: d7bd4f311535d3c06f5781981798b71686c89330 SHA-256: b0e0467f446282d5d65ccbee34f69fbb14e428aefc4272db90ffaa219766284d
94 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

This PDF document was flagged as malicious by an ML classifier. The file routes users through malicious redirector infrastructure. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 3

  • 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.
  • 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/123?keyword=candid+vs+smile+direct+vs+invisalign In PDF document text
    • https://cdn-cms.f-static.net/uploads/4368955/normal_5f8f610f1513a.pdfIn PDF document text
    • https://vajibenutiw.weebly.com/uploads/1/3/4/4/134487234/89db9c5ef6054.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/pugomonapoxuxe/zakonidazurizesabefidi.pdfIn PDF document text
    • https://s3.amazonaws.com/jagux/glossary_of_auditing_terms.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0500/5505/3472/files/ninja_coffee_bar_manual_cf080.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/6601/5395/files/94463821525.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0508/0114/8087/files/68315821793.pdfIn PDF document text
    • https://s3.amazonaws.com/jivala/2442453441.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/8929/2184/files/vuwisuwobuvarefo.pdfIn PDF document text
    • https://s3.amazonaws.com/dozuga/sickle_cell_disease_pathophysiology.pdfIn PDF document text
    • https://s3.amazonaws.com/jidosatikim/pamufalokelamajow.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_off00005eaf.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5EAF 5224 bytes
SHA-256: 694ad0baf866e71ac9d1a848bc544f56f1f73f2b70c561110124459bb895197d
font_01_sfnt_off00007063.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7063 10288 bytes
SHA-256: 76f93a46a80db9bf7bf384232d14dd416785eee1918884b56ab6ad7a8c0e803d