Malicious PDF — malware analysis report

Static analysis result for SHA-256 296c8312906bfdd0…

MALICIOUS

PDF

65.7 KB Created: 2020-11-04 02:46:58 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: ce86e2a44f220c9973ebecf082efe64d SHA-1: 118c9e9c72e9e31c7fab02f64b1bacf5bd4fe650 SHA-256: 296c8312906bfdd005ab82569db311513a0f193d8f0429791317741b2a6bf852
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 0.9989

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://cctraff.ru/aws?keyword=famous+american+tall+tales In PDF document text
    • https://cdn-cms.f-static.net/uploads/4375075/normal_5f8bb1595e0d3.pdfIn PDF document text
    • https://jawasolasazilem.weebly.com/uploads/1/3/1/3/131379174/d1ee3c84.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://uploads.strikinglycdn.com/files/d89003d1-ac7e-43f3-b7cf-fd2e6555ee87/6.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/3347/9336/files/fodari.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files2/vejegixarisonifapol.pdfIn PDF document text
    • https://s3.amazonaws.com/tezofuretejom/weller_wesd51_manual.pdfIn PDF document text
    • https://s3.amazonaws.com/degisapemifa/quality_control_in_hematology_laboratory.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5a22a7bc-d25a-47c0-b55e-c6f25eb14053/wajelatanavol.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000b703.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB703 4780 bytes
SHA-256: 18e2e178e3dfeff3ac384590f9663ce003ddfbeb400f90596916d9a8974d6312
font_01_sfnt_off0000c726.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC726 11200 bytes
SHA-256: 37dbab5d99a55ff96d2e15a94c7052abdd1ff93e4511a6289a80ed76ec3af438
font_02_sfnt_off0000ec2d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xEC2D 4324 bytes
SHA-256: 1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e